System and method for selectively processing content after identification and removal of malicious content

Information

  • Patent Grant
  • 12074887
  • Patent Number
    12,074,887
  • Date Filed
    Friday, December 21, 2018
    6 years ago
  • Date Issued
    Tuesday, August 27, 2024
    6 months ago
Abstract
A system and method directed toward the deployment of one or more security plug-ins for software components (e.g., applications) that analyze incoming content and selectively prevent malicious portions of the content from being processed by the applications without limiting the processing and/or rendering of the legitimate (non-malicious) portions of the incoming content is described. Each of the security plug-ins is communicatively coupled to a published interface of a software component, such as an application. The security plug-in includes logic to (i) gain access to content received by the software component prior to processing of the content by the software component, (ii) parse the content into separate segments, (iii) analyze each content segment to determine whether the content segment is malicious or non-malicious, and (iv) permit rendering of one or more non-malicious content segments while preventing processing of one or more malicious content segments.
Description
FIELD

Embodiments of the disclosure relate to cyber security. More particularly, embodiments of the disclosure relate to a system and method to selectively control the processing and/or rendering of content.


GENERAL BACKGROUND

Over the last decade, computers have been increasingly targeted for a cyberattack, particularly those that access the Internet or other publicly accessible networks. In general, one type of cyberattack may involve the insertion of malicious code into otherwise legitimate content to be processed by a user, for example, content (specifically referred to as “web content”) being transferred over a network, and processed by a web browser application. The malicious code corresponds to malware, which may take the form of one or more instructions or commands, a script, or a program that is harmful by design to a computer. For example, the malicious code may operate as a virus, adware, spyware, and any other type of malware that gathers or attempts to steal information from a computer or about its user or otherwise operates without permission. The computer user is often unaware that the malicious code is present in the web content which, automatically or triggered from a user action (e.g., selection of a displayable image on a web page), is installed into memory of the computer.


In some cases, as an exploit cyberattack may be conducted, namely an attempt, normally through unsuspecting uploading of an exploit (e.g., malicious instruction(s) or command(s)), to take advantage of a vulnerability in a targeted computer by adversely influencing or attacking normal operations of that computer. Typically, exploit attacks are directed to a vulnerability associated with a specific software application such as a web browser application (e.g., Microsoft® Internet Explorer®, Google® Chrome®, etc.), a document reader application (e.g., portable document format “PDF” reader), or a document editor application (e.g., Microsoft® Office®, Apple® TextEdit®, Adobe® Acrobat®, etc.).


Recently, various processes have been employed to detect or prevent security threats. For example, computers may run “blocking” software that scans incoming content received by a particular computer for adware and blocks the display of the advertisement generated by the adware. The scanning typically constitutes a “static analysis” by comparing incoming content to signatures of known adware maintained with a library or database of adware signatures, where such analysis alone may lead to an increased number of false negatives. However, where the content includes malicious software (referred to as “malware”) that may cause malicious communications or activities that initiate or further an attack (hereinafter, “cyberattack”), current threat detection processes feature no flexibility as to rendering a portion of the content free from malicious software. For instance, for a compromised web page including a malicious code segment in an otherwise clean page for legitimate purposes, for conventional approaches, the entire web page is precluded from being rendered.





BRIEF DESCRIPTION OF THE DRAWINGS

Embodiments of the disclosure are illustrated by way of example and not by way of limitation in the figures of the accompanying drawings, in which like references indicate similar elements and in which:



FIG. 1 is an exemplary block diagram of an embodiment of an electronic device configured with a local threat detection system.



FIG. 2 is an illustrative embodiment of the internal architecture of the endpoint device of FIG. 1.



FIG. 3 is an illustrative embodiment of the logical architecture of the endpoint device of FIG. 1 employing the local threat detection system featuring one or more security plug-ins and corresponding software components.



FIG. 4 is an illustrative embodiment of the data structure of a security plug-in of FIGS. 1-3.



FIG. 5 is an exemplary embodiment of a flow diagram of the operations conducted by the local threat detection system of FIG. 1.



FIG. 6A is exemplary embodiment of a flow diagram of the operations conducted during the Set-up stage of FIG. 5.



FIG. 6B is an exemplary embodiment of a flow diagram of the operations conducted during the Analytic/Remediation stage of FIG. 5.



FIG. 7 is an exemplary embodiment of a plug-in distribution system for downloading security plug-ins to requesting electronic devices.





DETAILED DESCRIPTION

Various embodiments of the disclosure are directed to a system and/or method for deploying one or more security plug-ins for software components (e.g., applications such as web browsers). Each security plug-in is configured to analyze content and selectively prevent advanced cyberattacks or remediate their effects without limiting the processing and/or rendering of legitimate (non-malicious) portions of the content. Stated differently, the security plug-in may remove malicious content associated with a cyberattack, and in some cases, substitute the malicious content for trusted content. As a result, the web page may be loaded and an legitimate (non-compromised) website, from which the web page is provided, may be browsed. Examples of the advanced cyberattacks may include (a) malicious Uniform Resource Locator (URL) for use in the retrieval of malware onto a computer for theft of confidential information or for rendering the computer inoperable, (b) drive-by attack where content is downloaded by processing the webpage which drops (generates) a malicious process, (c) image with an embedded malicious exploit that performs malicious tasks, or (d) an interactive screen seeking sensitive information as part of phishing attack for example.


After installation into an electronic device, each of the security plug-ins operates with a counterpart software module. More specifically, each security plug-in is configured for communicative coupling with a standard, published interface made available by its counterpart software component, such as a software application (e.g., web browser application, document reader application, document editor application, etc.). Such applications are conventional and often widely used. The standard, published interface for each software application may correspond to an application programming interface (API) specific for that software application. As a result, when installed and in operation, each security plug-in monitors the specified API of its counterpart software component in order to intercept content prior to processing by the software component to perform a security analysis.


In some embodiments, the security plug-in may be configured to operate via a separate process with the counterpart application. Communications between the security plugin operating in a separate process and the counterpart application may be affected through operating system communication techniques instead of APIs. Such operating systems communication techniques enable two distinct applications to affect one another without operating in the same context. For example, an endpoint security agent operating as a security plug-in, through operating system interfaces, may identify signaling of a counterpart application indicating processing of content, such as HTML data, an Adobe® Portable Document Format (“PDF”) document, or the like. The content may be analyzed to detect malicious code segments for mitigation by the security plug-in.


According to one embodiment of the disclosure, each security plug-in is configured with logic to (i) gain access to content associated with a web page received by the software component (e.g., web browser application) prior to processing of that content, (ii) parse the content, during loading, into different segments, where each segments may pertain to a different category or type of information to be analyzed using a particular threat detection rule, (iii) analyze each content (code) segment to produce analytic results, and (iv) based on the analytic results, permit the processing of non-malicious content segments while preventing the processing of malicious content segments. In addition, each security plug-in may be further configured with (i) logic that generates alerts with at least a portion of the analytic results that overlay a displayed image including content segment and/or (ii) logic to perform remediation operations, which may vary depending on the type of content determined to be malicious. Where applicable, as part of remediation operations, any malicious content segment may be either (i) removed from the monitored content (e.g., web page, file, document) prior to processing or (ii) altered to change certain operability of the monitored content (e.g., made dormant such as disabling URL links, etc.). The removal of the detected malicious content segment may be favored to prevent the rendering of a displayable element associated with the malicious content segment and, depending on the type of malicious content (e.g., a displayable image), another content segment may be substituted for the removed content segment.


For instance, for web page content, the substitution of one or more malicious content segments may be performed in order to complete the web page. According to one embodiment of the disclosure, each substitute content segment may correspond to an advertisement image (linked or static) for which advertisers may subscribe to a service that updates a collection of substitute content segments that are made available to the security plug-ins. However, according to another embodiment of the disclosure, each substitute content segment may correspond to a pre-stored image being substituted into the web page for the malicious content segment and/or providing a warning that a portion of the content has been determined to be malicious.


To assist in understanding aspects of the invention, an illustrative embodiment of the operations of a threat detection system utilizing a security plug-in framework is described. Herein, one or more security plug-ins may be installed into an endpoint device, where each security plug-in operates with a counterpart software application. As an example, a first security plug-in may operate with a web browser application, where the first security plug-in is configured to monitor (e.g., intercept and analysis) content received by the web browser application for processing (e.g., execution of received content associated with a web page for display). The first security plug-in may gain access to the content via a published interface for that web browser application (e.g., API). The first security plug-in separates the received content (e.g., code to be processed for rendering a web page) into individual segments (hereinafter, “content segments”) and analyzes each of the content segments to determine its cybersecurity classification (e.g., malicious, non-malicious).


According to one embodiment of the disclosure, analysis logic within the first security plug-in analyzes a content segment by at least identifying the type of content segment being analyzed and then comparing the content segment to regular expressions being part of the threat detection rules utilized by the analysis logic for that particular content type. The regular expressions may correspond to an abstract representation, which may include Boolean elements, groupings and/or qualifiers, to identify a set of characters (meta information) associated with known malicious content to avoid specific static rules. Upon determining that the content segment is malicious, the first security plug-in may selectively prohibit further processing of this content segment by the web browser (e.g., block further processing of the content imported through an Inline Frame “IFrame”, prevent display of a malicious image in document being rendered, etc.). For remediation, if available, a malicious content segment may be substituted for another content segment, where the substitute content segment may include (i) a paid advertisement obtained from a data store that is periodically or aperiodically uploaded with substitute content segments or (ii) a pre-stored image. The data store may be local to the first security plug-in or may be remotely located therefrom.


In some embodiments, in lieu of regular expressions, the comparison may be conducted through a hash comparison. More specifically, the analysis logic within the first security plug-in may conduct a hash operation on a content segment for comparison with known malicious content (code) segments, which were previously determined to include malware used in conducting a cyberattack.


Herein, the security plug-in operates in cooperation with a software component (e.g., browser application). However, it is contemplated that the security plug-in may be a separate unit of commerce, sold or provided as freeware, by a software vendor distinct from the vendor of the software component. The security plug-in may be capable of being updated separately from the software component and employs current security information, e.g., threat detection rules which may include regular expressions. In other words, the security plug-in provides functionality without the need to replace or alter the software component, and may be configured in light of the threat landscape with the latest threat detection rules and customized with respect to, for example, alert rules.


More specifically, in some embodiments, the security plug-ins may be obtained separately from the software components already installed within an electronic device, such as via a network provided service. Stated differently, the security plug-in may be obtained from a web-based service (e.g., dedicated web server, cloud service, etc.) for installation and communicative coupling with a software component already installed within the electronic device. However, in another embodiment, the security plug-in may be integrated as part of the software component. Furthermore, the security plug-in may be configured to communicate with a remotely located threat analytics system, which is configured to receive results from analyses of content segments conducted by the security plug-in and, upon detection of a malicious content segment, generate an alert message to other endpoint devices communicatively coupled to the threat analytics system. The threat analytics system may be further configured to conduct a secondary analysis of the content segment through threat classification as well as update logic with the security plug-in (e.g., rules, manifest, notification logic, etc.).


According to another embodiment of the disclosure, in lieu of a security plug-in operating in cooperation with a software component (e.g., browser application), the security plug-in may be deployed as a software agent installed on an endpoint separate from the software component (e.g., browser application), where the software agent is situated to monitor the operation of the browser application and intercept downloaded webpages for analysis and blocking.


In summary, this security plug-in framework provides legacy and third party application software with cybersecurity functionality, such as cyber-threat detection and prevention for example, without modification of the application software. The cyber-threat detection and prevention includes analyzing and selectively preventing malicious content (code) segments from being processed without limiting access to (or rendering of) the legitimate (non-malicious) content. Depending on the type of malicious content segment, the security plug-in may selectively suppress a rendering of content associated with a malicious content segment and replace this content segment with a notice or benign substituted content (e.g., an image, Flash® file, JavaScript® block or the like which may or may not operate as an advertisement). Additionally, or in the alternative, a separate alert message may be issued to a user or administrator. By selectively blocking and/or suppressing received malicious content without interfering with the legitimate received content, the system enables a user to have safe access to legitimate content—providing a less intrusive cyber-threat protection of the system and user.


I. TERMINOLOGY

In the following description, certain terminology is used to describe various features of the invention. For example, the terms “logic,” “module” and “component” are representative of hardware, firmware or software that is configured to perform one or more functions. As hardware, logic (or component) may include circuitry having data processing or storage functionality. Examples of such circuitry may include, but are not limited or restricted to a hardware processor (e.g., microprocessor with one or more processor cores, a digital signal processor, a graphics processing unit (GPU), a programmable gate array, a microcontroller, an application specific integrated circuit “ASIC”, etc.), a semiconductor memory, or combinatorial elements.


Logic (or module or component) may be software that includes code being one or more instructions, commands or another data structure that, when compiled and/or processed (e.g., executed), performs a particular operation or a series of operations. Examples of software may include an application, a process, an instance, an Application Programming Interface (API), a subroutine, a plug-in, a function, an applet, a servlet, a routine, code, a script, a shared library/dynamic link library (dll), or a collection of HTML elements. This software may be stored in any type of a suitable non-transitory storage medium, or transitory storage medium (e.g., electrical, optical, acoustical or other form of propagated signals such as carrier waves, infrared signals, or digital signals). Examples of non-transitory storage medium may include, but are not limited or restricted to a programmable circuit; non-persistent storage such as volatile memory (e.g., any type of random access memory “RAM”); or persistent storage such as non-volatile memory (e.g., read-only memory “ROM”, power-backed RAM, flash memory, phase-change memory, etc.), a solid-state drive, hard disk drive, an optical disc drive, or a portable memory device. As firmware, the logic (or engine/component) may be stored in persistent storage.


The term “content” generally relates to a collection of information, whether in transit (e.g., over a network) or at rest (e.g., stored), often having a logical structure or organization that enables it to be classified for purposes of analysis for cyber-threat detection and prevention. One type of content includes information that, when processed, produces a web page, where such information may include one or more Uniform Resource Locators (URLs) and/or one or more data elements (referred to as “web page content”). Examples of different types of data elements may include an embedded executable (e.g., a script, JavaScript block, Flash file, etc.) or a non-executable. Examples of non-executables may include a displayable image. Other types of content may include a document (e.g., a Portable Document Format “PDF” document, Microsoft® Office® document, Microsoft® Excel® spreadsheet, etc.), a file retrieved from a file storage system, or the like.


The term “electronic device” should be generally construed as electronics with data processing capability and/or a capability of connecting to any type of network, such as a public network (e.g., Internet), a private network (e.g., a wireless data telecommunication network, a local area network “LAN”, etc.), or a combination of networks. Examples of an electronic device may include, but are not limited or restricted to, the following: a server, a mainframe, a firewall, a router; or an endpoint device (e.g., a laptop, a smartphone, a tablet, a desktop computer, a netbook, gaming console, a medical device, or any general-purpose or special-purpose, user-controlled electronic device).


The term “plug-in” may be broadly construed as a software module that is typically separate from a software component, such as a software application for example, and provides specific functionality to that software component. Various types of plug-ins, for example, may be available for use by different software components, such as web browser application for example, to add certain functionality. As an illustrative example, a security plug-in provides cyber-threat detection and prevention functionality for a software component, where the threat detection and prevention functionality may include analyses of content segments in efforts to detect maliciousness prior to the processing of such content segment(s) by the software component and potential remediation operations to eradicate any malicious content segments and optionally swap substitute content segments for the malicious content segment. For this example, the content segment(s) may be received via a published interface (API) for the software application. The plug-in may operate as an extension, add-in, add-on or another type of software module.


According to one embodiment, the term “malware” may be broadly construed as any content (e.g., code, data, command(s), etc.) that prompts or assists in conducting a cyberattack and/or operations associated with anomalous or unwanted behavior. For instance, malware may correspond to a type of code intended to harm or co-opt operation of an electronic device or misappropriate, modify or delete data. In the alternative, malware may correspond to an exploit itself, namely (i) content that attempts to take advantage of a vulnerability in a software component and/or (ii) an action by a person gaining unauthorized access to one or more areas of an electronic device, where the exploit causes the electronic device to experience undesirable or anomalous behaviors. The undesirable or anomalous behaviors may include a communication-based anomaly or an execution-based anomaly which, for example, could (1) alter the functionality of an electronic device in an atypical manner or (2) provide unwanted functionality which may be generally acceptable in another context.


The term “interconnect” may be construed as a physical or logical communication path between two or more electronic devices or between different logic (engine or components). For instance, a physical communication path may include wired or wireless transmission mediums. Examples of wired transmission mediums and wireless transmission mediums may include electrical wiring, optical fiber, cable, bus trace, a radio unit that supports radio frequency (RF) signaling, or any other wired/wireless signal transfer mechanism. A logical communication path may include any mechanism that allows for the exchange of content between different logic.


The term “message” generally refers to signaling (wired or wireless) as either information placed in a prescribed format and transmitted in accordance with a suitable delivery protocol or information made accessible through a logical data structure such as an API. Examples of the delivery protocol include, but are not limited or restricted to HTTP (Hypertext Transfer Protocol); HTTPS (HTTP Secure); Simple Mail Transfer Protocol (SMTP); File Transfer Protocol (FTP); iMESSAGE; Instant Message Access Protocol (IMAP); or the like. Hence, each message may be in the form of one or more packets, frame, or any other series of bits having the prescribed, structured format. The term “computerized” generally represents that any corresponding operations are conducted by hardware in combination with software or firmware.


Lastly, the terms “or” and “and/or” as used herein are to be interpreted as inclusive or meaning any one or any combination. Therefore, “A, B or C” or “A, B and/or C” mean “any of the following: A; B; C; A and B; A and C; B and C; A, B and C.” An exception to this definition will occur only when a combination of elements, functions, steps or acts are in some way inherently mutually exclusive.


II. GENERAL ENDPOINT DEVICE ARCHITECTURE

Referring now to FIG. 1, an exemplary block diagram of an embodiment of an electronic device 100 (e.g., endpoint device) is shown, where the endpoint device 100 is implemented with a local threat detection system 110. The local threat detection system 110 is configured to detect whether any portion or portions of content is malicious prior to the processing of the content by a software component 150. As an illustrative example, incoming content 120 associated with one or more web pages may be received from a web server being part of a network 130 to which the endpoint device 100 is connected. Operating as part of the local threat detection system 110, a security plug-in 140 is installed within the endpoint device 100 to be communicatively coupled to the software component 150 (e.g., web browser application) in order to monitor receipt of the web page content 120, parse the web page content 120 into a plurality of content segments, and analyze these content segments for a presence of malicious content (malware) prior to their processing by the web browser application 150.


More specifically, the security plug-in 140 is configured to determine maliciousness of each content segment in accordance with threat detection rules that may differ based on content type. For instance, one content type is directed to a “header” portion of the web page content 120, including a title and/or meta information associated with the web page. Other content types involve content within the body portion of the webpage, including an IFrame being a Hypertext Markup Language “HTML” document embedded inside another HTML document, a Flash file, JavaScript block, displayable image, or the like. In particular, the security plug-in 140 determines (1) whether any of the one or more content segments is malicious, and if so, (2) what remediation actions may be taken performed by the security plug-in 140 (besides removal of the content segment from the web page content 120) prior to processing by the web browser application 150. Examples of an remediation action may include, but are not limited or restricted to replacing the malicious content segment with a prescribed (non-malicious) content such as a static or linked displayable image to be rendered on a display 160 such as an advertisement or a warning (as shown), especially when the malicious content segment is a displayable image within the content 120 forming the web page. Another remediation action may include replacing content, such as substituting malicious content segment associated with a redirected web page, which may be hidden within the web page content 120, with a static warning notice to be rendered on the display 160. The notice may identify to the viewer of an attempted malicious redirect, but allow the viewer to see and navigate the web page.


Referring now to FIG. 2, an illustrative embodiment of the internal architecture of the endpoint device 100 and the interoperability of stored logic to provide selective detection and prevention of malicious content from being processed by an installed software component is shown. Herein, one or more software components 1501-150N (N≥1), including a web browser application 1501, is installed within the endpoint device 100 and stored in memory 200, where one or more hardware processors (generally referred to as “processor 230”) execute the web browser application 1501 to process the web page content 120 for rendering a displayable web page on the display 160. As shown, a security plug-in 1401 is installed within the endpoint device 100 and is communicatively coupled to the web browser application 1501 in order to monitor and analyze segments of the web page content 120 prior to processing by the web browser application 1501. The security plug-in 1401 may further perform remediation actions (if any), and log information associated with any detected malicious content for reporting to an administrator or remotely located threat analytics system 370 as shown in FIG. 3.


Referring still to FIG. 2, the endpoint device 100 comprises the memory 200, the processor 230, one or more network interfaces (referred to as “network interface(s)”) 240, and one or more network devices (referred to as “network device(s)”) 250 connected by a system interconnect 260, such as a bus. As shown in FIGS. 1-2, these components are at least partially encased in a housing 170, which is made entirely or partially of a rigid material (e.g., hardened plastic, metal, glass, composite, or any combination thereof) that protects these components from environmental conditions.


The processor 230 is one or more multipurpose, programmable components that accept digital data as input, process the input data according to stored instructions, and provide results as output. One example of a processor may include an Intel® x86 central processing unit (CPU) with an instruction set architecture although other types of processors as described above may be utilized. The processor 230 and an operating system (“OS”) 205 within the memory 200 operate to register the installed security plug-ins (e.g., security plug-in 1401-140M (M≥2 as shown), which are used to enhance functionality of software components 1501-1502 installed within the endpoint device 100 by providing cyber-threat detection and prevention capabilities, as described below.


The memory 200 may correspond to system memory along with non-persistent and/or persistent storage. From a logical perspective, the memory 200 includes the OS 205 featuring logic configured to register software plug-ins, including one or more security plug-ins 1401-140M (e.g., M=2). During registration, for each security plug-in (e.g., security plug-in 1401), a plug-in name and a path to access content associated with the security plug-in 1401 is registered by the OS 205. The memory 200 further includes a plurality of locations that are addressable by the processor 230 and the network interface(s) 240 for storing software components that are installed into the endpoint device 100, including one or more software applications 1501-150N and one or more security plug-ins 1401-140M that are communicatively coupled to a corresponding “M” software applications 1501-150M (M≤N). For illustrative purposes, the description shall focus on one or more security plug-ins 1401-140M operating in cooperation with counterpart software applications 1501-150M, such as a first security plug-in 1401 operating in cooperation with a web browser application 1501. However, other security plug-ins (e.g., security plug-in 1402) may be adapted to provide similar cyber-threat detection and prevention functionality to other types of software components, such as a document editor application for example. The composition of each of the security plug-ins 1401-140M, such as the first security plug-in 1401 for example, is illustrated in FIG. 4.


According to one embodiment of the disclosure, memory 200 further includes reporting logic 215, display control logic 220 and/or management logic 225. The reporting logic 215 generates threat detection messages (described below) for transmission via one or more network interface(s) 240 to the network 130 in order to report malicious content (e.g., malware) detected by any of the security plug-ins 1401-140M to a remote threat analytics system 370 as illustrated in FIG. 3. The display control logic 220 is configured to assist in the rendering of displayable objects on the display 160, such as one or more alerts including information identifying the presence of malicious content within the received content 120 and/or including meta information associated with the malicious content (e.g., source name, type of content compromised, underlying security plug-in and its associated application, malware family identified, etc.) based on operations conducted by logic within each of the security plug-ins 1401-140M. Lastly, the management logic 225 is configured to coordinate the collective operability of the security plug-ins 1401-140M such as coordinating transmission of threat detection messages from different security plug-ins 1401-140M via the network interface(s) 240 for example. For example, the operability of some security plug-ins (e.g., security plug-in 140M-1) may be dependent on completion of operation by other security plug-ins (e.g., security plug-in 140M). Additionally, the management logic 225 is configured to coordinate the collective operability of the security plug-ins 1401-140M in rendering a verdict (e.g., malicious or non-malicious) for one or more content segments operated upon by the security plug-ins 1401-140M.


Herein, the network device(s) 250 may include various input/output (I/O) or peripheral devices, such as a keyboard, key pad, touch screen, or mouse for example. The network interface(s) 240 may include one or more network ports containing the mechanical, electrical and/or signaling circuitry needed to connect the endpoint device 100 to the network 130 to thereby facilitate communications to other remotely located electronic devices. To that end, the network interface(s) 240 may be configured to transmit and/or receive messages using a variety of communication protocols including, inter alia, Transmission Control Protocol/Internet Protocol (TCP/IP), Hypertext Transfer Protocol (HTTP), or HTTP Secure (HTTPS).


III. OPERATIONAL FLOW OF THE LOCAL THREAT DETECTION SYSTEM

As shown in FIG. 3, an illustrative embodiment of the logical architecture of the endpoint device 100 employing the local threat detection system 110 is shown. The local threat detection system 110 features “M” security plug-ins 1401-140M, where each security plug-in 1401 . . . or 140M I is communicatively coupled to a corresponding software component 1501 . . . or 150M via a standard, published interface 3001-300M offered by each of the software components 1501-150M, respectively. As shown, according to this embodiment of the disclosure, a first security plug-in 1401 is communicative coupled to a web browser application 1501 with an application programming interface (API) 3001 specific to and offered by the web browser application 1501.


According to one embodiment of the disclosure, the first security plug-in 1401 may be a separate software module from the web browser application 1501 as shown. Although, as another embodiment of the disclosure, the first security plug-in 1401 may be integrated into the web browser application 1501. Regardless of the manner of deployment, the first security plug-in 1401 is configured to monitor the API 3001 provided by the web browser application 1501 in order to intercept content 310 received for processing. The content 310 may include a plurality of content segments 315, where each of the plurality of content segments 315 corresponds to information associated with different element of a web page (e.g., web page header, display image, JavaScript block, Flash file, pop-up buttons, etc.). Prior to the processing of the content 310 by the web browser application 1501, analysis logic 3301 within the first security plug-in 1401 parses the content 310 by detecting the different types of content segments 315 forming the web page 310. Thereafter, the analysis logic 3301 analyzes each content segment of the plurality of content segments 315 in accordance with a set of threat detection rules 3401 directed to a particular type of security plug-in 1401 for use in analyzing certain types of content segments (e.g., content segment 321) and determining whether a particular content segment is malicious or not.


According to one embodiment of the disclosure, the analysis logic 3301 analyzes each content segment 315 within the web page 310 by identifying the type of content segment being analyzed, and thereafter, comparing information within the content segment to regular expressions being part of a particular set of threat detection rules 3401 that are used to detect cyber-threats for that particular type of content segment. For example, the threat detection rules 3401 may include a first set of threat detection rules 3421 utilized by the analysis logic 3301 to determine whether a first type of content segment is malicious while a second set of threat detection rules 3441, which may be wholly or partially different from the first set of threat detection rules 3421, may be utilized by the analysis logic 3301 to determine whether a second type of content segment is malicious.


The regular expressions may correspond to information (e.g., data, meta information, etc.) associated with content within known malicious web pages (e.g., phishing web pages, etc.). Upon determining that a first content segment 321 is malicious, the security plug-in 1401 may selectively prohibit further processing of this content segment 321 by the web browser application 1501 (e.g., block further processing of content loaded via an Inline Frame “Iframe,” prevent display of a malicious image in document being rendered, etc.). Otherwise, where the particular content segment 321 is non-malicious, the analysis logic 3301 does not modify the first content segment 321 and permits the web browser application 1501 to process the first content segment 321.


More specifically, the remediation logic 350 of the security plug-in 1401 may operate on the first content segment 321 to mitigate its maliciousness. According to one embodiment of the disclosure, the remediation logic 350 may be configured to substitute the first content segment 321 for a prescribed, non-malicious content segment stored within a data store 270 external to the security plug-in 1401 as shown in FIG. 2. As one example, where the malicious content segment is a displayable image, a substitute content segment may correspond to a benign image, where the image may be updated to provide “paid for” advertisements in which the data store 270 of FIG. 2 is occasionally updated to include non-malicious content provided from subscribers to a service, which is responsible for uploading substitute content segments operating as advertisements to different endpoint devices or electronic devices accessible to the endpoint devices for use by the remediation logic 350, as needed. Alternatively, the image may be removed, such as in a malicious redirection element, where non-malicious content is not substituted with malicious content.


In lieu of content segment substitution, according to another embodiment of the disclosure, the remediation logic 350 may be configured to alter content within a malicious content segment 321 in order to remove its maliciousness prior to processing by the browser software application 1501. As a first illustrative example, the remediation logic 350 may be configured to disconnect a URL link assigned to the content segment 321 so that the content segment 321 is displayed as a blank area in a rendered web page. As a second illustrative embodiment, the remediation logic 350 may be configured to alter the URL link assigned to the content segment 321, which may cause a display of either (i) a prescribed advertisement stored as part of the security plug-in 1401 or retrieved from a linked resource (as described above) or (ii) a warning that at least one of the content segments 315 has been determined to be malicious. As a result, this software framework protects software components within the endpoint device 100 from becoming infected with malicious content (e.g., content segments) while allowing software components to process the legitimate, non-malicious content for subsequent rendering to avoid impeding the conveyance of information.


In summary, the software framework provided by the local threat detection system 110 possesses the capability to analyze and selectively prevent malicious content (code) segments from being processed without limiting access to (or rendering of) to the legitimate content. Depending on the type of malicious content segment, each security plug-in 1401 . . . , and/or 140M may selectively suppress a rendering of content associated with a malicious content segment and replace this content segment with a notice or benign substitute content (e.g., an image, flash file, JavaScript block or the like which may or may not operate as an advertisement). By selectively blocking and/or suppressing malicious content without interfering with the legitimate (non-malicious) content, the local threat detection system 110 enables the display of a web page with legitimate content segments remaining intact and malicious content segment(s) being altered or substituted to remove malware from content forming the web page.


Additionally, or in the alternative, the security plug-in 1401 may include notification logic 360, which is configured to issue an alert provided to the display control logic 220. The separate alert may be superimposed over an area of the web page. The superimposed area may or may not cover an area of the web page associated with any substitute content segment. The notification logic 360 may be further configured to provide information for use by plug-in analytic logic 365 in the generation of the threat detection message 372 routed to the remote threat analytics system 370.


As shown, the security plug-in 1401 may be configured to communicate with the plug-in analytic logic 365, including the reporting logic 215 and the management logic 225. The reporting logic 215 is configured to generate one or more threat detection messages 372 for transmission via the network interface 240 to the threat analytics system 370 based on information received from the notification logic 360. The management logic 225 is configured to coordinate the collective operability of the security plug-ins 1401-140M such as coordinating transmission of threat detection messages based on information from different security plug-ins 1401-140M via the network interface 240 for example. The threat detection message 372 may include results from an analysis of a content segment (e.g., content segment 321) conducted by the analysis logic 3301 within the security plug-in 1401. Based on the threat detection message 372 (and other threat detection messages from different security plug-ins within the endpoint device 100 (e.g., security plug-in 1402, etc.)), the threat analytics system 370 generates alert messages 374 to other endpoint devices (e.g., endpoint device 105) communicatively coupled thereto.


Herein, according to one embodiment of the disclosure, the threat detection message 372 includes a timestamp, an application identifier (e.g., data identifying the name and/or version number of the application), rule identifier (e.g., data identifying one or more rules violated by the content segment 321), a source identifier (e.g., URL), and/or sequence of characters (string) associated with the content segment that matched one or more regular expressions being part of the threat detection rules utilized by the analysis logic to classify the malicious content segment. Herein, the rule identifier may be sufficient information to track the processing of the threat detection message 372. Herein, the threat analytics system 370 may further provide updates 376 to one or more of the security plug-ins 1401-140M (e.g., rules, manifest, notification logic, etc.), although such updates may be provided from a different resource.


Referring now to FIG. 4, an illustrative embodiment of the data structure 400 of a security plug-in (e.g., security plug-in 1401) and the interoperability of logic to provide selective prevention of malicious content from being processed by a selected application installed within the endpoint device 100 is shown. Herein, the security plug-in 1401 includes threat detection rules 3401, a manifest 410, content control logic 420, notification logic 360 and a local data store 430.


The threat detection rules 3401 include one or more sets of threat detection rules that are categorized by segment type. More specifically, according to one embodiment of the disclosure, each of the threat detection rules 3401 includes one or more regular expressions (hereinafter, “regular expression(s)”), namely a sequence of alphanumeric characters that define a search pattern for use by analysis logic 3301 being part of the content control logic 420, to determine a level of correlation between any of the regular expression(s) and information within a content segment under analysis. For instance, the threat detection rules 3401 may include a first set of threat detection rules 3421 associated with a first segment type (e.g., images) and a second set of threat detection rules 3441 associated with a second segment type (e.g., JavaScript block). The first set of threat detection rules 3421 include a first group of regular expression(s) 440 and the second set of threat detection rules 3441 include a second group of regular expression(s) 445, where the regular expression(s) 440 may differ, either completely or at least partially, from the regular expression(s) 445.


The manifest 410 is a collection of information (e.g., a file, etc.) that includes meta information associated with the security plug-in 1401 and, when loaded, operates to alters permissions of a software component to allow the security plug-in 1401 to interact with the software component 1501. For instance, as an illustrative example, the manifest 410 of the security plug-in 1401 may be configured to alter permissions of the web browser application 1501 to allow the content control logic 420 of the security plug-in 1401 to intercept, analyze and return web content 310 of FIG. 3, which may be altered or unaltered, prior to processing by the web browser application 1501. The manifest 410 authenticates the security plug-in 1401 to monitor the web content 310 via a standard, published interface (API) made available by the web browser application 1501. Also, the manifest 410 further allows the security plug-in for certain application.


Referring still to FIG. 4, the content control logic 420 includes the analysis logic 3301 and the remediation logic 350. As described above, the analysis logic 3301 is configured to receive the web content 310, identify and parse the web content 310 into separate content segments 315, and analyze each of the content segments to determine maliciousness, as shown in FIG. 3. The analysis of the content segments 315 includes identifying a particular type of content segment being analyzed, such a first type of content segment 321 for example; and retrieving regular expressions 3421 that pertain to known malicious content and are associated with the threat detection rules 3401 for that particular (first) segment type (as represented by communication path 460). Thereafter, the analysis logic 3301 of the content control logic 420 conducts a comparison of data within the content segment 321 to the retrieved regular expressions 440 to determine whether a level of correlation exceeds a threshold. If so, the content segment under analysis is determined to be malicious.


According to one embodiment of the disclosure, for certain segment types, the remediation logic 350 may be configured to remove malicious content segments to prevent the rendering of a displayable element associated with the malicious content that, if selected, would have infected the endpoint device with malware. Depending on the type of malicious content (e.g., a displayable image), a prescribed content segment may be substituted for the removed content segment to complete the web page. According to one embodiment of the disclosure, the prescribed content segment may correspond to an advertisement image (linked or static) for which advertisers subscribe to a service that updates a collection of substitute content segments 450 that may be maintained within the local data store 430 and is utilized by the remediation logic 350 as represented by communication path 470. Additionally, or in the alternative, the substitute content segments 450 may be stored remotely within the data store 270 of FIG. 2 and accessed as needed. The substitute content segments 450 may correspond to advertisements for placement with the rendered web page in lieu of malicious displayable element or a pre-stored image that occupies area within the web page and/or operates as a warning to the user that a portion of the web page content has been determined to be malicious. Hence, the remediation logic 350 protects the endpoint device, and notably the web browser application 1501, from becoming infected with malicious content while allowing the web browser application 1501 to process the legitimate, non-malicious content for subsequent rendering. As a result, certain valuable (and legitimate) information may still be rendered instead of precluding display of the entire web page.


The notification logic 360, operating with the content control logic 420 as represented by communication path 480, provides information for use by the plug-in analytic logic 365 in the generation of the threat detection message 372 routed to the remote threat analytics system 370 of FIG. 3, which generates one or more alert messages 374 to share malicious content findings among a corresponding (one or more) endpoint devices, including the endpoint device. As described above, the threat detection message 372 includes a timestamp that identifies a time of receipt of the malicious content, an application identifier that identifies the name and/or version number of the web browser application 1501, rule identifier that identifies one or more regular expressions correlated with the malicious content, and a source URL (to detect origination of any detected cyberattack) along with one or more regular expressions relied upon to classify the malicious content segment. The local data store 430 may be configured to operate as temporary storage for information associated with the uncovered malicious content segments, where at least a portion of the information is provided to the plug-in analytic logic 365 to generate the threat detection message 372.


Referring to FIG. 5, an exemplary embodiment of a flow diagram of the operations conducted by the local threat detection system to detect incoming malicious content is shown. Herein, these operations may be categorized into three stages: Set-up stage 500, Acquisition stage 520 and Analytic/Remediation stage 540. With respect to the Set-up stage 500, a security plug-in framework is established, which provides crypto-threat detection and prevention functionality to general software applications operating on an endpoint device (operation 510). Thereafter, during the Acquisition stage 520, content for a web page is acquired prior to processing of the content by a software component (e.g., web browser application) associated with the security plug-in (operation 530). The acquired content is parsed into a plurality of segments (operation 535), which are separately analyzed for malicious content.


More specifically, during the Analytic/Remediation stage 540, an ith content segment (count “i” initially set to “1”) is analyzed to determine whether that particular segment is malicious or non-malicious (operations 550, 555 and 560). Where the ith content segment is not malicious, a determination is made whether all of the content segments associated with the acquired, incoming content have been analyzed (operation 565). If not, the count is incremented (i:=i+1) and the next (i+1th) content segment is analyzed (operations 570, 555). However, where the ith content segment is malicious, additional operations may be conducted on the content segment associated with the incoming content in order to report findings or remediate malicious content as described above (operation 575).


Referring now to FIG. 6A, an exemplary embodiment of a flow diagram of the operations conducted during the Set-up stage 500 of FIG. 5 with respect to set-up of the security plug-in framework is shown. Herein, a security plug-in is configured to monitor and operate with a web browser application, is installed within memory of an endpoint device (operation 600). Upon opening the web browser application (operation 605), the security plug-in determines whether permission settings for the web browser application have been altered by its manifest, which allows the security plug-in to monitor data loaded into the web browser application via a published interface (API) (operation 610). If not, for certain types of web browser applications, such as a Microsoft® Edge® web browser for example, the security plug-in would initially provide a plug-in digital signature to be verified by the web browser application (operation 615). Without verification of a valid digital signature by the security plug-in, the web browser application would deny alteration of its permission setting (operation 620). These optional nature of these operations is represented by dashed lines. However, upon verification of the valid digital signature or for other types of web browser applications that do not require verification, such as FireFox® for example, the manifest includes code that alters the permission setting of the web browser application to allow for the security plug-in to access loaded content prior to processing by the web browser application (operation 625).


Referring to FIG. 6B an exemplary embodiment of a flow diagram of the operations conducted during the Analytic/Remediation stage 540 of FIG. 5 is shown. Herein, a type of content segment under analysis is determined and the content segment is analyzed in accordance with threat detection rules associated with the determined segment type (operations 650 and 655). Based on this analysis, a determination is made whether a rule violation has occurred (operations 660-670). For instance, according to one embodiment of the disclosure, a rule violation may be determined based on whether a correlation between the data within the content segment and one or more regular expressions included as part of the threat detection rules for the determined segment type exceed a prescribed threshold.


As further shown in FIG. 6B, if no rule violation has occurred (or the severity of the rule violation does not exceed the prescribed threshold), the content segment is classified as non-malicious (operations 665 and 670). Otherwise, the content segment is classified as malicious (operation 675). Additionally, the malicious content segment may be logged for reporting (operation 680) and/or may undergo remediation operations, as described above, where the type of remediation operation is based, at least in part, the segment type (operation 685). For example, where the content segment is code directed to a static or linked displayable image to be rendered on a display, the remediation may be directed to substitution of the code with a new displayable image to complete the web page. The new displayable image may be an image operating as an advertisement, a warning or merely a safe image occupying the same area of the web page as the malicious displayable image. Similarly, where the content segment attempts a URL redirect operation, the remediation may involve substitution of the entire web page with a warning notice rendered on the display.


Referring now to FIG. 7, an exemplary embodiment of a plug-in distribution system 700 for downloading security plug-ins 1401-140M is shown. Herein, the plug-in distribution system 700 may provide a subscription-based service in which different levels or tiers of security plug-ins may be downloaded by the endpoint device 100 based on a subscription level associated with the endpoint device 100 or a subscriber using the endpoint device 100. More specifically, upon establishing communications with the endpoint device 100, the plug-in distribution system 700 analyzes credentials supplied by the endpoint device 100 (e.g., registered device identifier such as a unique Media Access Control (MAC) address, manufacture serial number, etc.) to determine whether an active subscription exists for a user of the endpoint device 100 (or the endpoint device 100).


Without a security plug-in subscription, as a free-service, the endpoint device 100 may be permitted to download first tier security plug-ins that perform local threat detection and prevention, without any remediation or reporting capabilities. Hence, a first tier security plug-in provides a threat detection enhancement for a web browser application, which allows for detection a malicious content segment prior to processing of the content by the web browser application. However, the first tier security plug-in may not be configured to perform image substitution or reporting of meta-information associated with a detected cyber-threat to a threat analytics system as described above and illustrated in FIG. 3. With an active security plug-in subscription, the endpoint device 100 may be permitted to download second tier security plug-ins, which includes remediation and/or reporting capabilities.


As shown in FIG. 7, automatically or when initiated by the user, the endpoint device 100 sends a plug-in request message 710 to the plug-in distribution system 700. Depending on the credentials associated with the endpoint device 100, the plug-in distribution system 700 returns a plug-in response message 720 to the endpoint device 100. The plug-in response message 720 includes an appropriate tiered security plug-in (e.g., security plug-in 1401), which is installed within the endpoint device 100 and provides enhanced cyber-threat detection and prevention to a corresponding software component (e.g., web browser application 1501). Where the endpoint device 100 and/or endpoint device 105 are devices associated with a subscriber or subscribers to the security plug-in subscription, the security plug-in 1401 may upload threat detection messages to the threat analytics system 370, where alerts and/or update messages may be received from the threat analytics system 370 by the endpoint device 100 and/or endpoint device 105.


In the foregoing description, the invention is described with reference to specific exemplary embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention as set forth in the appended claims.

Claims
  • 1. An endpoint device, comprising: one or more hardware processors; anda memory coupled to the one or more hardware processors, the memory comprises management logic,a plurality of software components, anda plurality of security plug-ins corresponding to the plurality of software components stored within the endpoint device, the plurality of security plug-ins comprise a first security plug-in communicatively coupled to an interface of a first software component of the plurality of software components and a second security plug-in communicatively coupled to an interface of a second software component of the plurality of software components,wherein the first security plug-in of the plurality of security plug-ins including logic configured to gain access to a first type of content that includes web page content and the second security plug-in including logic configured to gain access to a second type of content that is different from the first type of content,wherein both of the first security plug-in and the second security plug-in are configured to (i) parse received content, being the first type of content or the second type of content, into a plurality of content segments, wherein each content segment of the plurality of content segments is lesser in size than the received content and pertaining to a different category of content for analysis, wherein each content segment of the plurality of content segments has at least one of a plurality of segment types, wherein the plurality of segment types at least comprise an executable segment type and a non-executable segment type, (ii) locally analyze each content segment of the plurality of content segments, using one or more different threat detection rules pertaining to at least one of the plurality of segment types, and determine whether each content segment of the plurality of content segments is malicious or non-malicious, and (iii) permit rendering of one or more non-malicious content segments of the plurality of content segments by performing a remediation operation by at least replacing each malicious content segment corresponding to a displayable image with an advertisement image obtained from a data store including advertisement images that are updated as part of a service to which advertisers can subscribe, and by preventing further processing of one or more malicious content segments of the plurality of content segments,wherein the management logic is configured to coordinate collective operability of the plurality of security plug-ins based on reported threat information to render a verdict for at least one content segment of the plurality of content segments.
  • 2. The endpoint device of claim 1, wherein at least the first security plug-in is configured to gain access to the received content via an application programming interface (API) provided by the software component.
  • 3. The endpoint device of claim 1, wherein at least the first security plug-in is configured to gain access to the received content via one or more operating system interfaces.
  • 4. The endpoint device of claim 2, wherein at least the first software component corresponds to a web browser application.
  • 5. The endpoint device of claim 2, wherein at least the first software component corresponds to a word processing application.
  • 6. The endpoint device of claim 1, wherein the first security plug-in is configured to analyze a first content segment and determine whether the first content segment is malicious or non-malicious by at least (i) identifying a type of content segment being analyzed and (ii) comparing information within the first content segment to regular expressions being part of threat detection rules associated with the type of content segment identified.
  • 7. The endpoint device of claim 1, wherein the advertisement image corresponds to a paid advertisement obtained from the data store that is periodically or aperiodically uploaded with substitute content segments.
  • 8. The endpoint device of claim 7, wherein the substitute content segments maintained within the data store are updated by the service to which advertisers subscribe.
  • 9. The endpoint device of claim 1, wherein each content segment corresponds to a JavaScript® block.
  • 10. The endpoint device of claim 1, wherein the memory further comprising: notification logic configured to issue an alert provided to display control logic, wherein the alert is superimposed over an area of a web page.
  • 11. A non-transitory computer readable medium including management logic and a plurality of security plug-ins communicatively coupled to a software component and, upon execution, performing operations comprising: gaining access, by each security plug-in of the plurality of security plug-ins, to a different type of content in which a first security plug-in is configured to gain access to a first type of content that includes web page content and a second security plug-in is configured to gain access to a second type of content that includes a non-executable and is different from the first type of content;parsing, by both the first security plug-in and the second security plug-in, received content, being the first type of content or the second content, into a plurality of content segments, wherein each content segment of the plurality of content segments is lesser in size than the received content, wherein each content segment of the plurality of content segments has at least one of a plurality of segment types, wherein the plurality of segment types at least comprise an executable segment type and a non-executable segment type;locally analyzing, by the first security plug-in and the second security plug-in, each content segment of the plurality of content segments, using one or more different threat detection rules pertaining to at least one of the plurality of segment types, and determine whether each content segment of the plurality of content segments is malicious or non-malicious; andpermitting, by the first security plug-in and the second security plug-in, a rendering of one or more non-malicious content segments of the plurality of content segments by performing a remediation operation by at least replacing each malicious content segment corresponding to a displayable image with an advertisement image obtained from a data store including advertisement images that are updated as part of a service to which advertisers can subscribe, and by preventing further processing of one or more malicious content segments of the plurality of content segments,wherein the management logic is configured to coordinate collective operability of the plurality of security plug-ins based on reported threat information to render a verdict for at least one content segment of the plurality of content segments.
  • 12. The non-transitory computer readable medium of claim 11, wherein the first security plug-in, upon execution by a processor, is configured to gain access to the content via an application programming interface (API) provided by the software component.
  • 13. The non-transitory computer readable medium of claim 11, wherein the first security plug-in, upon execution by the processor, to gain access to the received first type of content via one or more operating system interfaces.
  • 14. The non-transitory computer readable medium of claim 12, wherein the software component corresponds to a web browser application.
  • 15. The non-transitory computer readable medium of claim 12, wherein the software component corresponds to a word processing application.
  • 16. The non-transitory computer readable medium of claim 11, wherein the first security plug-in, upon execution by the processor, is configured to analyze a first content segment and determine whether the first content segment is malicious or non-malicious by at least (i) identifying a type of content segment being analyzed and (ii) comparing information within the first content segment to regular expressions being part of threat detection rules associated with the type of content segment identified.
  • 17. The non-transitory computer readable medium of claim 11, wherein the advertisement image corresponds to a paid advertisement that is obtained from the data store and the data store is periodically or aperiodically uploaded with substitute content segments.
  • 18. The non-transitory computer readable medium of claim 11, wherein the first security plug-in, upon execution by the processor, is configured to permit processing of the one or more non-malicious content segments by performing a second remediation operation by removing linking capability for each malicious content segment.
  • 19. The non-transitory computer readable medium of claim 11, wherein each content segment corresponds to a JavaScript® block.
  • 20. A method for modifying a web page by a plurality of security plug-ins that are deployed within an endpoint device and each configured to detect and remove one or more malicious content segments directed to a cyberattack within a web page and rendering of the modified web page, comprising: gaining access, by each security plug-in of the plurality of security plug-ins, to a different type of content in which a first security plug-in is configured to gain access to a first type of content that includes web page content and a second security plug-in is configured to gain access to a second type of content that includes a non-executable and is different from the first type of content;parsing, by both the first security plug-in and the second security plug-in, received content, being the first type of content or the second content, into a plurality of content segments, wherein each content segment of the plurality of content segments is lesser in size than the received content, wherein each content segment of the plurality of content segments has at least one of a plurality of segment types, wherein the plurality of segment types at least comprise an executable segment type and a non-executable segment type;locally analyzing, by the first security plug-in and the second security plug-in, each content segment of the plurality of content segments, using one or more different threat detection rules pertaining to at least one of the plurality of segment types, and determine whether each content segment of the plurality of content segments is malicious or non-malicious; andpermitting, by the first security plug-in and the second security plug-in, a rendering of one or more non-malicious content segments of the plurality of content segments by performing a remediation operation by at least replacing each malicious content segment corresponding to a displayable image with an advertisement image obtained from a data store including advertisement images that are updated as part of a service to which advertisers can subscribe, and by preventing further processing of one or more malicious content segments of the plurality of content segments,wherein management logic within the endpoint device is configured to coordinate collective operability of the plurality of security plug-ins based on reported threat information to render a verdict for at least one content segment of the plurality of content segments.
US Referenced Citations (725)
Number Name Date Kind
4292580 Ott et al. Sep 1981 A
5175732 Hendel et al. Dec 1992 A
5319776 Hile et al. Jun 1994 A
5440723 Arnold et al. Aug 1995 A
5490249 Miller Feb 1996 A
5657473 Killean et al. Aug 1997 A
5802277 Cowlard Sep 1998 A
5842002 Schnurer et al. Nov 1998 A
5960170 Chen et al. Sep 1999 A
5978917 Chi Nov 1999 A
5983348 Ji Nov 1999 A
6088803 Tso et al. Jul 2000 A
6092194 Touboul Jul 2000 A
6094677 Capek et al. Jul 2000 A
6108799 Boulay et al. Aug 2000 A
6154844 Touboul et al. Nov 2000 A
6269330 Cidon et al. Jul 2001 B1
6272641 Ji Aug 2001 B1
6279113 Vaidya Aug 2001 B1
6298445 Shostack et al. Oct 2001 B1
6357008 Nachenberg Mar 2002 B1
6424627 Sorhaug et al. Jul 2002 B1
6442696 Wray et al. Aug 2002 B1
6484315 Ziese Nov 2002 B1
6487666 Shanklin et al. Nov 2002 B1
6493756 O'Brien et al. Dec 2002 B1
6550012 Villa et al. Apr 2003 B1
6775657 Baker Aug 2004 B1
6831893 Ben Nun et al. Dec 2004 B1
6832367 Choi et al. Dec 2004 B1
6895550 Kanchirayappa et al. May 2005 B2
6898632 Gordy et al. May 2005 B2
6907396 Muttik et al. Jun 2005 B1
6941348 Petry et al. Sep 2005 B2
6971097 Wallman Nov 2005 B1
6981279 Arnold et al. Dec 2005 B1
7007107 Ivchenko et al. Feb 2006 B1
7028179 Anderson et al. Apr 2006 B2
7043757 Hoefelmeyer et al. May 2006 B2
7058822 Edery et al. Jun 2006 B2
7069316 Gryaznov Jun 2006 B1
7080407 Zhao et al. Jul 2006 B1
7080408 Pak et al. Jul 2006 B1
7093002 Wolff et al. Aug 2006 B2
7093239 van der Made Aug 2006 B1
7096498 Judge Aug 2006 B2
7100201 Izatt Aug 2006 B2
7107617 Hursey et al. Sep 2006 B2
7159149 Spiegel et al. Jan 2007 B2
7213260 Judge May 2007 B2
7231667 Jordan Jun 2007 B2
7240364 Branscomb et al. Jul 2007 B1
7240368 Roesch et al. Jul 2007 B1
7243371 Kasper et al. Jul 2007 B1
7249175 Donaldson Jul 2007 B1
7287278 Liang Oct 2007 B2
7308716 Danford et al. Dec 2007 B2
7328453 Merkle, Jr. et al. Feb 2008 B2
7346486 Ivancic et al. Mar 2008 B2
7356736 Natvig Apr 2008 B2
7386888 Liang et al. Jun 2008 B2
7392542 Bucher Jun 2008 B2
7418729 Szor Aug 2008 B2
7428300 Drew et al. Sep 2008 B1
7441272 Durham et al. Oct 2008 B2
7448084 Apap et al. Nov 2008 B1
7458098 Judge et al. Nov 2008 B2
7464404 Carpenter et al. Dec 2008 B2
7464407 Nakae et al. Dec 2008 B2
7467408 O'Toole, Jr. Dec 2008 B1
7478428 Thomlinson Jan 2009 B1
7480773 Reed Jan 2009 B1
7487543 Arnold et al. Feb 2009 B2
7496960 Chen et al. Feb 2009 B1
7496961 Zimmer et al. Feb 2009 B2
7519990 Xie Apr 2009 B1
7523493 Liang et al. Apr 2009 B2
7530104 Thrower et al. May 2009 B1
7540025 Tzadikario May 2009 B2
7546638 Anderson et al. Jun 2009 B2
7565550 Liang et al. Jul 2009 B2
7568233 Szor et al. Jul 2009 B1
7584455 Ball Sep 2009 B2
7603715 Costa et al. Oct 2009 B2
7607171 Marsden et al. Oct 2009 B1
7639714 Stolfo et al. Dec 2009 B2
7644441 Schmid et al. Jan 2010 B2
7657419 van der Made Feb 2010 B2
7676841 Sobchuk et al. Mar 2010 B2
7698548 Shelest et al. Apr 2010 B2
7707633 Danford et al. Apr 2010 B2
7712136 Sprosts et al. May 2010 B2
7730011 Deninger et al. Jun 2010 B1
7739740 Nachenberg et al. Jun 2010 B1
7779463 Stolfo et al. Aug 2010 B2
7784097 Stolfo et al. Aug 2010 B1
7832008 Kraemer Nov 2010 B1
7836502 Zhao et al. Nov 2010 B1
7849506 Dansey et al. Dec 2010 B1
7854007 Sprosts et al. Dec 2010 B2
7869073 Oshima Jan 2011 B2
7877803 Enstone et al. Jan 2011 B2
7904959 Sidiroglou et al. Mar 2011 B2
7908660 Bahl Mar 2011 B2
7930738 Petersen Apr 2011 B1
7937387 Frazier et al. May 2011 B2
7937761 Bennett May 2011 B1
7949849 Lowe et al. May 2011 B2
7996556 Raghavan et al. Aug 2011 B2
7996836 McCorkendale et al. Aug 2011 B1
7996904 Chiueh et al. Aug 2011 B1
7996905 Arnold et al. Aug 2011 B2
8006305 Aziz Aug 2011 B2
8010667 Zhang et al. Aug 2011 B2
8020206 Hubbard et al. Sep 2011 B2
8028338 Schneider et al. Sep 2011 B1
8042184 Batenin Oct 2011 B1
8045094 Teragawa Oct 2011 B2
8045458 Alperovitch et al. Oct 2011 B2
8069484 McMillan et al. Nov 2011 B2
8087086 Lai et al. Dec 2011 B1
8171553 Aziz et al. May 2012 B2
8176049 Deninger et al. May 2012 B2
8176480 Spertus May 2012 B1
8180761 Cooley May 2012 B1
8201246 Wu et al. Jun 2012 B1
8204984 Aziz et al. Jun 2012 B1
8214905 Doukhvalov et al. Jul 2012 B1
8220055 Kennedy Jul 2012 B1
8225288 Miller et al. Jul 2012 B2
8225373 Kraemer Jul 2012 B2
8233882 Rogel Jul 2012 B2
8234640 Fitzgerald et al. Jul 2012 B1
8234709 Viljoen et al. Jul 2012 B2
8239944 Nachenberg et al. Aug 2012 B1
8260914 Ranjan Sep 2012 B1
8266091 Gubin et al. Sep 2012 B1
8286251 Eker et al. Oct 2012 B2
8291499 Aziz et al. Oct 2012 B2
8307435 Mann et al. Nov 2012 B1
8307443 Wang et al. Nov 2012 B2
8312545 Tuvell et al. Nov 2012 B2
8321936 Green et al. Nov 2012 B1
8321941 Tuvell et al. Nov 2012 B2
8332571 Edwards, Sr. Dec 2012 B1
8365286 Poston Jan 2013 B2
8365297 Parshin et al. Jan 2013 B1
8370938 Daswani et al. Feb 2013 B1
8370939 Zaitsev et al. Feb 2013 B2
8375444 Aziz et al. Feb 2013 B2
8381299 Stolfo et al. Feb 2013 B2
8402529 Green et al. Mar 2013 B1
8448241 Kadakia May 2013 B1
8464340 Ahn et al. Jun 2013 B2
8479174 Chiriac Jul 2013 B2
8479276 Vaystikh et al. Jul 2013 B1
8479291 Bodke Jul 2013 B1
8510827 Leake et al. Aug 2013 B1
8510828 Guo et al. Aug 2013 B1
8510842 Amit et al. Aug 2013 B2
8516478 Edwards et al. Aug 2013 B1
8516590 Ranadive et al. Aug 2013 B1
8516593 Aziz Aug 2013 B2
8522348 Chen et al. Aug 2013 B2
8528086 Aziz Sep 2013 B1
8533824 Hutton et al. Sep 2013 B2
8539582 Aziz et al. Sep 2013 B1
8549638 Aziz Oct 2013 B2
8555391 Demir et al. Oct 2013 B1
8561177 Aziz et al. Oct 2013 B1
8566476 Shiffer et al. Oct 2013 B2
8566946 Aziz et al. Oct 2013 B1
8584094 Dadhia et al. Nov 2013 B2
8584234 Sobel et al. Nov 2013 B1
8584239 Aziz et al. Nov 2013 B2
8595834 Xie et al. Nov 2013 B2
8627476 Satish et al. Jan 2014 B1
8635696 Aziz Jan 2014 B1
8682054 Xue et al. Mar 2014 B2
8682812 Ranjan Mar 2014 B1
8689333 Aziz Apr 2014 B2
8695096 Zhang Apr 2014 B1
8713631 Pavlyushchik Apr 2014 B1
8713681 Silberman et al. Apr 2014 B2
8726392 McCorkendale et al. May 2014 B1
8739280 Chess et al. May 2014 B2
8776229 Aziz Jul 2014 B1
8782792 Bodke Jul 2014 B1
8789172 Stolfo et al. Jul 2014 B2
8789178 Kejriwal et al. Jul 2014 B2
8793278 Frazier et al. Jul 2014 B2
8793787 Ismael et al. Jul 2014 B2
8805947 Kuzkin et al. Aug 2014 B1
8806647 Daswani et al. Aug 2014 B1
8832829 Manni et al. Sep 2014 B2
8850570 Ramzan Sep 2014 B1
8850571 Staniford et al. Sep 2014 B2
8881234 Narasimhan et al. Nov 2014 B2
8881271 Butler, II Nov 2014 B2
8881282 Aziz et al. Nov 2014 B1
8898788 Aziz et al. Nov 2014 B1
8935779 Manni et al. Jan 2015 B2
8949257 Shiffer et al. Feb 2015 B2
8984638 Aziz et al. Mar 2015 B1
8990939 Staniford et al. Mar 2015 B2
8990944 Singh et al. Mar 2015 B1
8990945 Ranadive Mar 2015 B1
8997219 Staniford et al. Mar 2015 B2
9009822 Ismael et al. Apr 2015 B1
9009823 Ismael et al. Apr 2015 B1
9027135 Aziz May 2015 B1
9071638 Aziz et al. Jun 2015 B1
9104867 Thioux et al. Aug 2015 B1
9106630 Frazier et al. Aug 2015 B2
9106694 Aziz et al. Aug 2015 B2
9118715 Staniford et al. Aug 2015 B2
9159035 Ismael et al. Oct 2015 B1
9171160 Vincent et al. Oct 2015 B2
9176843 Ismael et al. Nov 2015 B1
9189627 Islam Nov 2015 B1
9195829 Goradia et al. Nov 2015 B1
9197664 Aziz et al. Nov 2015 B1
9223972 Vincent et al. Dec 2015 B1
9225740 Ismael et al. Dec 2015 B1
9241010 Bennett et al. Jan 2016 B1
9251343 Vincent et al. Feb 2016 B1
9262635 Paithane et al. Feb 2016 B2
9268936 Butler Feb 2016 B2
9275229 LeMasters Mar 2016 B2
9282109 Aziz et al. Mar 2016 B1
9292686 Ismael et al. Mar 2016 B2
9294501 Mesdaq et al. Mar 2016 B2
9300686 Pidathala et al. Mar 2016 B2
9306960 Aziz Apr 2016 B1
9306974 Aziz et al. Apr 2016 B1
9311479 Manni et al. Apr 2016 B1
9355247 Thioux et al. May 2016 B1
9356944 Aziz May 2016 B1
9357394 Filatov May 2016 B1
9363280 Rivlin et al. Jun 2016 B1
9367681 Ismael et al. Jun 2016 B1
9398028 Karandikar et al. Jul 2016 B1
9413781 Cunningham et al. Aug 2016 B2
9426071 Caldejon et al. Aug 2016 B1
9430646 Mushtaq et al. Aug 2016 B1
9432389 Khalid et al. Aug 2016 B1
9438613 Paithane et al. Sep 2016 B1
9438622 Staniford et al. Sep 2016 B1
9438623 Thioux et al. Sep 2016 B1
9459901 Jung et al. Oct 2016 B2
9467460 Otvagin et al. Oct 2016 B1
9483644 Paithane et al. Nov 2016 B1
9495180 Ismael Nov 2016 B2
9497213 Thompson et al. Nov 2016 B2
9507935 Ismael et al. Nov 2016 B2
9516057 Aziz Dec 2016 B2
9519782 Aziz et al. Dec 2016 B2
9536091 Paithane et al. Jan 2017 B2
9537972 Edwards et al. Jan 2017 B1
9560059 Islam Jan 2017 B1
9565202 Kindlund et al. Feb 2017 B1
9591015 Amin et al. Mar 2017 B1
9591020 Aziz Mar 2017 B1
9594904 Jain et al. Mar 2017 B1
9594905 Ismael et al. Mar 2017 B1
9594912 Thioux et al. Mar 2017 B1
9609007 Rivlin et al. Mar 2017 B1
9626509 Khalid et al. Apr 2017 B1
9628498 Aziz et al. Apr 2017 B1
9628507 Haq et al. Apr 2017 B2
9633134 Ross Apr 2017 B2
9635039 Islam et al. Apr 2017 B1
9641546 Manni et al. May 2017 B1
9654485 Neumann May 2017 B1
9661009 Karandikar et al. May 2017 B1
9661018 Aziz May 2017 B1
9674298 Edwards et al. Jun 2017 B1
9680862 Ismael et al. Jun 2017 B2
9690606 Ha et al. Jun 2017 B1
9690933 Singh et al. Jun 2017 B1
9690935 Shiffer et al. Jun 2017 B2
9690936 Malik et al. Jun 2017 B1
9736179 Ismael Aug 2017 B2
9740857 Ismael et al. Aug 2017 B2
9747446 Pidathala et al. Aug 2017 B1
9756074 Aziz et al. Sep 2017 B2
9773112 Rathor et al. Sep 2017 B1
9781144 Otvagin et al. Oct 2017 B1
9787700 Amin et al. Oct 2017 B1
9787706 Otvagin et al. Oct 2017 B1
9792196 Ismael et al. Oct 2017 B1
9824209 Ismael et al. Nov 2017 B1
9824211 Wilson Nov 2017 B2
9824216 Khalid et al. Nov 2017 B1
9825976 Gomez et al. Nov 2017 B1
9825989 Mehra et al. Nov 2017 B1
9838408 Karandikar et al. Dec 2017 B1
9838411 Aziz Dec 2017 B1
9838416 Aziz Dec 2017 B1
9838417 Khalid et al. Dec 2017 B1
9838418 Wardle Dec 2017 B1
9846776 Paithane et al. Dec 2017 B1
9876701 Caldejon et al. Jan 2018 B1
9888016 Amin et al. Feb 2018 B1
9888019 Pidathala et al. Feb 2018 B1
9910988 Vincent et al. Mar 2018 B1
9912644 Cunningham Mar 2018 B2
9912681 Ismael et al. Mar 2018 B1
9912684 Aziz et al. Mar 2018 B1
9912691 Mesdaq et al. Mar 2018 B2
9912698 Thioux et al. Mar 2018 B1
9916440 Paithane et al. Mar 2018 B1
9921978 Chan et al. Mar 2018 B1
9934376 Ismael Apr 2018 B1
9934381 Kindlund et al. Apr 2018 B1
9946568 Ismael et al. Apr 2018 B1
9954890 Staniford et al. Apr 2018 B1
9973531 Thioux May 2018 B1
10002252 Ismael et al. Jun 2018 B2
10019338 Goradia et al. Jul 2018 B1
10019573 Silberman et al. Jul 2018 B2
10025691 Ismael et al. Jul 2018 B1
10025927 Khalid et al. Jul 2018 B1
10027689 Rathor et al. Jul 2018 B1
10027690 Aziz et al. Jul 2018 B2
10027696 Rivlin et al. Jul 2018 B1
10033747 Paithane et al. Jul 2018 B1
10033748 Cunningham et al. Jul 2018 B1
10033753 Islam et al. Jul 2018 B1
10033759 Kabra et al. Jul 2018 B1
10050998 Singh Aug 2018 B1
10068091 Aziz et al. Sep 2018 B1
10075455 Zafar et al. Sep 2018 B2
10083302 Paithane et al. Sep 2018 B1
10084813 Eyada Sep 2018 B2
10089461 Ha et al. Oct 2018 B1
10097573 Aziz Oct 2018 B1
10104102 Neumann Oct 2018 B1
10108446 Steinberg et al. Oct 2018 B1
10121000 Rivlin et al. Nov 2018 B1
10122746 Manni et al. Nov 2018 B1
10133863 Bu et al. Nov 2018 B2
10133866 Kumar et al. Nov 2018 B1
10146810 Shiffer et al. Dec 2018 B2
10148693 Singh et al. Dec 2018 B2
10165000 Aziz et al. Dec 2018 B1
10169585 Pilipenko et al. Jan 2019 B1
10176321 Abbasi et al. Jan 2019 B2
10181029 Ismael et al. Jan 2019 B1
10191861 Steinberg et al. Jan 2019 B1
10192052 Singh et al. Jan 2019 B1
10198574 Thioux et al. Feb 2019 B1
10200384 Mushtaq et al. Feb 2019 B1
10210329 Malik et al. Feb 2019 B1
10216927 Steinberg Feb 2019 B1
10218740 Mesdaq et al. Feb 2019 B1
10241696 Kowalyshyn Mar 2019 B1
10242185 Goradia Mar 2019 B1
20010005889 Albrecht Jun 2001 A1
20010047326 Broadbent et al. Nov 2001 A1
20020018903 Kokubo et al. Feb 2002 A1
20020038430 Edwards et al. Mar 2002 A1
20020091819 Melchione et al. Jul 2002 A1
20020095607 Lin-Hendel Jul 2002 A1
20020116627 Tarbotton et al. Aug 2002 A1
20020144156 Copeland Oct 2002 A1
20020162015 Tang Oct 2002 A1
20020166063 Achman et al. Nov 2002 A1
20020169952 DiSanto et al. Nov 2002 A1
20020184528 Shevenell et al. Dec 2002 A1
20020188887 Argman et al. Dec 2002 A1
20020194490 Halperin et al. Dec 2002 A1
20030021728 Sharpe et al. Jan 2003 A1
20030074578 Ford et al. Apr 2003 A1
20030084318 Schertz May 2003 A1
20030101381 Mateev et al. May 2003 A1
20030115483 Liang Jun 2003 A1
20030177397 Samman Sep 2003 A1
20030188190 Aaron et al. Oct 2003 A1
20030191957 Hypponen et al. Oct 2003 A1
20030200460 Vorota et al. Oct 2003 A1
20030212902 van der Made Nov 2003 A1
20030229801 Kouznetsov et al. Dec 2003 A1
20030237000 Denton et al. Dec 2003 A1
20040003323 Bennett et al. Jan 2004 A1
20040006473 Mills et al. Jan 2004 A1
20040015712 Szor Jan 2004 A1
20040019832 Arnold et al. Jan 2004 A1
20040047356 Bauer Mar 2004 A1
20040083408 Spiegel et al. Apr 2004 A1
20040088581 Brawn et al. May 2004 A1
20040093513 Cantrell et al. May 2004 A1
20040111531 Staniford et al. Jun 2004 A1
20040117478 Triulzi et al. Jun 2004 A1
20040117624 Brandt et al. Jun 2004 A1
20040128355 Chao et al. Jul 2004 A1
20040165588 Pandya Aug 2004 A1
20040236963 Danford et al. Nov 2004 A1
20040243349 Greifeneder et al. Dec 2004 A1
20040249911 Alkhatib et al. Dec 2004 A1
20040255161 Cavanaugh Dec 2004 A1
20040268147 Wiederin et al. Dec 2004 A1
20050005159 Oliphant Jan 2005 A1
20050021740 Bar et al. Jan 2005 A1
20050033960 Vialen et al. Feb 2005 A1
20050033989 Poletto et al. Feb 2005 A1
20050050148 Mohammadioun et al. Mar 2005 A1
20050086523 Zimmer et al. Apr 2005 A1
20050091513 Mitomo et al. Apr 2005 A1
20050091533 Omote et al. Apr 2005 A1
20050091652 Ross et al. Apr 2005 A1
20050108562 Khazan et al. May 2005 A1
20050114663 Cornell et al. May 2005 A1
20050125195 Brendel Jun 2005 A1
20050149726 Joshi et al. Jul 2005 A1
20050157662 Bingham et al. Jul 2005 A1
20050183143 Anderholm et al. Aug 2005 A1
20050201297 Peikari Sep 2005 A1
20050210533 Copeland et al. Sep 2005 A1
20050238005 Chen et al. Oct 2005 A1
20050240781 Gassoway Oct 2005 A1
20050262562 Gassoway Nov 2005 A1
20050265331 Stolfo Dec 2005 A1
20050283839 Cowbum Dec 2005 A1
20060010495 Cohen et al. Jan 2006 A1
20060015416 Hoffman et al. Jan 2006 A1
20060015715 Anderson Jan 2006 A1
20060015747 Van de Ven Jan 2006 A1
20060021029 Brickell et al. Jan 2006 A1
20060021054 Costa et al. Jan 2006 A1
20060031476 Mathes et al. Feb 2006 A1
20060047665 Neil Mar 2006 A1
20060070130 Costea et al. Mar 2006 A1
20060075496 Carpenter et al. Apr 2006 A1
20060095968 Portolani et al. May 2006 A1
20060101516 Sudaharan et al. May 2006 A1
20060101517 Banzhof et al. May 2006 A1
20060117385 Mester et al. Jun 2006 A1
20060123477 Raghavan et al. Jun 2006 A1
20060143709 Brooks et al. Jun 2006 A1
20060150249 Gassen et al. Jul 2006 A1
20060161983 Cothrell et al. Jul 2006 A1
20060161987 Levy-Yurista Jul 2006 A1
20060161989 Reshef et al. Jul 2006 A1
20060164199 Gilde et al. Jul 2006 A1
20060173992 Weber et al. Aug 2006 A1
20060179147 Tran et al. Aug 2006 A1
20060184632 Marino et al. Aug 2006 A1
20060191010 Benjamin Aug 2006 A1
20060221956 Narayan et al. Oct 2006 A1
20060236393 Kramer et al. Oct 2006 A1
20060242709 Seinfeld et al. Oct 2006 A1
20060248519 Jaeger et al. Nov 2006 A1
20060248582 Panjwani et al. Nov 2006 A1
20060251104 Koga Nov 2006 A1
20060288417 Bookbinder et al. Dec 2006 A1
20070006288 Mayfield et al. Jan 2007 A1
20070006313 Porras et al. Jan 2007 A1
20070011174 Takaragi et al. Jan 2007 A1
20070016951 Piccard et al. Jan 2007 A1
20070019286 Kikuchi Jan 2007 A1
20070033645 Jones Feb 2007 A1
20070038943 FitzGerald et al. Feb 2007 A1
20070064689 Shin et al. Mar 2007 A1
20070074169 Chess et al. Mar 2007 A1
20070094730 Bhikkaji et al. Apr 2007 A1
20070101435 Konanka et al. May 2007 A1
20070128855 Cho et al. Jun 2007 A1
20070142030 Sinha et al. Jun 2007 A1
20070143827 Nicodemus et al. Jun 2007 A1
20070156895 Vuong Jul 2007 A1
20070157180 Tillmann et al. Jul 2007 A1
20070157306 Elrod et al. Jul 2007 A1
20070168988 Fisner et al. Jul 2007 A1
20070171824 Ruello et al. Jul 2007 A1
20070174915 Gribble et al. Jul 2007 A1
20070192500 Lum Aug 2007 A1
20070192858 Lum Aug 2007 A1
20070198275 Malden et al. Aug 2007 A1
20070208822 Wang et al. Sep 2007 A1
20070220607 Sprosts et al. Sep 2007 A1
20070240218 Tuvell et al. Oct 2007 A1
20070240219 Tuvell et al. Oct 2007 A1
20070240220 Tuvell et al. Oct 2007 A1
20070240222 Tuvell et al. Oct 2007 A1
20070250930 Aziz et al. Oct 2007 A1
20070256132 Oliphant Nov 2007 A2
20070271446 Nakamura Nov 2007 A1
20080005782 Aziz Jan 2008 A1
20080018122 Zierler et al. Jan 2008 A1
20080028463 Dagon et al. Jan 2008 A1
20080040710 Chiriac Feb 2008 A1
20080046781 Childs et al. Feb 2008 A1
20080066179 Liu Mar 2008 A1
20080072326 Danford et al. Mar 2008 A1
20080077793 Tan et al. Mar 2008 A1
20080080518 Hoeflin et al. Apr 2008 A1
20080086720 Lekel Apr 2008 A1
20080098476 Syversen Apr 2008 A1
20080120722 Sima et al. May 2008 A1
20080134178 Fitzgerald et al. Jun 2008 A1
20080134334 Kim et al. Jun 2008 A1
20080141376 Clausen et al. Jun 2008 A1
20080184367 McMillan et al. Jul 2008 A1
20080184373 Traut et al. Jul 2008 A1
20080189787 Arnold et al. Aug 2008 A1
20080201778 Guo et al. Aug 2008 A1
20080209557 Herley et al. Aug 2008 A1
20080215742 Goldszmidt et al. Sep 2008 A1
20080222729 Chen et al. Sep 2008 A1
20080263665 Ma et al. Oct 2008 A1
20080295172 Bohacek Nov 2008 A1
20080301810 Lehane et al. Dec 2008 A1
20080307524 Singh et al. Dec 2008 A1
20080313738 Enderby Dec 2008 A1
20080320594 Jiang Dec 2008 A1
20090003317 Kasralikar et al. Jan 2009 A1
20090007100 Field et al. Jan 2009 A1
20090013408 Schipka Jan 2009 A1
20090031423 Liu et al. Jan 2009 A1
20090036111 Danford et al. Feb 2009 A1
20090037835 Goldman Feb 2009 A1
20090044024 Oberheide et al. Feb 2009 A1
20090044274 Budko et al. Feb 2009 A1
20090064332 Porras et al. Mar 2009 A1
20090077666 Chen et al. Mar 2009 A1
20090083369 Marmor Mar 2009 A1
20090083855 Apap et al. Mar 2009 A1
20090089879 Wang et al. Apr 2009 A1
20090094697 Provos et al. Apr 2009 A1
20090113425 Ports et al. Apr 2009 A1
20090125976 Wassermann et al. May 2009 A1
20090126015 Monastyrsky et al. May 2009 A1
20090126016 Sobko et al. May 2009 A1
20090133125 Choi et al. May 2009 A1
20090144823 Lamastra et al. Jun 2009 A1
20090158430 Borders Jun 2009 A1
20090172815 Gu et al. Jul 2009 A1
20090187992 Poston Jul 2009 A1
20090193293 Stolfo et al. Jul 2009 A1
20090198651 Shiffer et al. Aug 2009 A1
20090198670 Shiffer et al. Aug 2009 A1
20090198689 Frazier et al. Aug 2009 A1
20090199274 Frazier et al. Aug 2009 A1
20090199296 Xie et al. Aug 2009 A1
20090228233 Anderson et al. Sep 2009 A1
20090241187 Troyansky Sep 2009 A1
20090241190 Todd et al. Sep 2009 A1
20090265692 Godefroid et al. Oct 2009 A1
20090271867 Zhang Oct 2009 A1
20090300415 Zhang et al. Dec 2009 A1
20090300761 Park et al. Dec 2009 A1
20090328185 Berg et al. Dec 2009 A1
20090328221 Blumfield et al. Dec 2009 A1
20100005146 Drako et al. Jan 2010 A1
20100011205 McKenna Jan 2010 A1
20100017546 Poo et al. Jan 2010 A1
20100030996 Butler, II Feb 2010 A1
20100031353 Thomas et al. Feb 2010 A1
20100037314 Perdisci et al. Feb 2010 A1
20100043073 Kuwamura Feb 2010 A1
20100054278 Stolfo et al. Mar 2010 A1
20100058474 Hicks Mar 2010 A1
20100064044 Nonoyama Mar 2010 A1
20100064369 Stolfo Mar 2010 A1
20100077481 Polyakov et al. Mar 2010 A1
20100083376 Pereira et al. Apr 2010 A1
20100115621 Staniford et al. May 2010 A1
20100132038 Zaitsev May 2010 A1
20100154056 Smith et al. Jun 2010 A1
20100180344 Malyshev et al. Jul 2010 A1
20100192223 Ismael et al. Jul 2010 A1
20100220863 Dupaquis et al. Sep 2010 A1
20100235831 Dittmer Sep 2010 A1
20100251104 Massand Sep 2010 A1
20100281102 Chinta et al. Nov 2010 A1
20100281541 Stolfo et al. Nov 2010 A1
20100281542 Stolfo et al. Nov 2010 A1
20100287260 Peterson et al. Nov 2010 A1
20100299754 Amit et al. Nov 2010 A1
20100306173 Frank Dec 2010 A1
20110004737 Greenebaum Jan 2011 A1
20110025504 Lyon et al. Feb 2011 A1
20110041179 Hlberg Feb 2011 A1
20110047594 Mahaffey et al. Feb 2011 A1
20110047620 Mahaffey et al. Feb 2011 A1
20110055907 Narasimhan et al. Mar 2011 A1
20110078794 Manni et al. Mar 2011 A1
20110093951 Aziz Apr 2011 A1
20110099620 Stavrou et al. Apr 2011 A1
20110099633 Aziz Apr 2011 A1
20110099635 Silberman et al. Apr 2011 A1
20110113231 Kaminsky May 2011 A1
20110145918 Jung et al. Jun 2011 A1
20110145920 Mahaffey et al. Jun 2011 A1
20110145934 Abramovici et al. Jun 2011 A1
20110167493 Song et al. Jul 2011 A1
20110167494 Bowen et al. Jul 2011 A1
20110173213 Frazier et al. Jul 2011 A1
20110173460 Ito et al. Jul 2011 A1
20110191849 Jayaraman Aug 2011 A1
20110219449 St. Neitzel et al. Sep 2011 A1
20110219450 McDougal et al. Sep 2011 A1
20110225624 Sawhney et al. Sep 2011 A1
20110225655 Niemela et al. Sep 2011 A1
20110247072 Staniford et al. Oct 2011 A1
20110265182 Peinado et al. Oct 2011 A1
20110289582 Kejriwal et al. Nov 2011 A1
20110302587 Nishikawa et al. Dec 2011 A1
20110307954 Melnik et al. Dec 2011 A1
20110307955 Kaplan et al. Dec 2011 A1
20110307956 Yermakov et al. Dec 2011 A1
20110314546 Aziz et al. Dec 2011 A1
20120023593 Puder et al. Jan 2012 A1
20120054869 Yen et al. Mar 2012 A1
20120066698 Yanoo Mar 2012 A1
20120079596 Thomas et al. Mar 2012 A1
20120084859 Radinsky et al. Apr 2012 A1
20120096553 Srivastava et al. Apr 2012 A1
20120110667 Zubrilin et al. May 2012 A1
20120117652 Manni et al. May 2012 A1
20120121154 Xue et al. May 2012 A1
20120124426 Maybee et al. May 2012 A1
20120174186 Aziz et al. Jul 2012 A1
20120174196 Bhogavilli et al. Jul 2012 A1
20120174218 McCoy et al. Jul 2012 A1
20120198279 Schroeder Aug 2012 A1
20120210423 Friedrichs et al. Aug 2012 A1
20120222121 Staniford et al. Aug 2012 A1
20120255015 Sahita et al. Oct 2012 A1
20120255017 Sallam Oct 2012 A1
20120260342 Dube et al. Oct 2012 A1
20120265588 Kannan Oct 2012 A1
20120266244 Green et al. Oct 2012 A1
20120278886 Luna Nov 2012 A1
20120296713 Abdulhayoglu Nov 2012 A1
20120297489 Dequevy Nov 2012 A1
20120330801 McDougal et al. Dec 2012 A1
20120331553 Aziz et al. Dec 2012 A1
20130014259 Gribble et al. Jan 2013 A1
20130036472 Aziz Feb 2013 A1
20130047257 Aziz Feb 2013 A1
20130074185 McDougal et al. Mar 2013 A1
20130086684 Mohler Apr 2013 A1
20130097699 Balupari et al. Apr 2013 A1
20130097706 Titonis et al. Apr 2013 A1
20130111587 Goel et al. May 2013 A1
20130117852 Stute May 2013 A1
20130117855 Kim et al. May 2013 A1
20130139264 Brinkley et al. May 2013 A1
20130160125 Likhachev et al. Jun 2013 A1
20130160127 Jeong et al. Jun 2013 A1
20130160130 Mendelev et al. Jun 2013 A1
20130160131 Madou et al. Jun 2013 A1
20130167236 Sick Jun 2013 A1
20130174214 Duncan Jul 2013 A1
20130185789 Hagiwara et al. Jul 2013 A1
20130185795 Winn et al. Jul 2013 A1
20130185798 Saunders et al. Jul 2013 A1
20130191915 Antonakakis et al. Jul 2013 A1
20130196649 Paddon et al. Aug 2013 A1
20130227691 Aziz et al. Aug 2013 A1
20130246370 Bartram et al. Sep 2013 A1
20130247186 LeMasters Sep 2013 A1
20130263260 Mahaffey et al. Oct 2013 A1
20130291109 Staniford et al. Oct 2013 A1
20130298243 Kumar et al. Nov 2013 A1
20130318038 Shiffer et al. Nov 2013 A1
20130318073 Shiffer et al. Nov 2013 A1
20130325791 Shiffer et al. Dec 2013 A1
20130325792 Shiffer et al. Dec 2013 A1
20130325871 Shiffer et al. Dec 2013 A1
20130325872 Shiffer et al. Dec 2013 A1
20140032875 Butler Jan 2014 A1
20140053260 Gupta et al. Feb 2014 A1
20140053261 Gupta et al. Feb 2014 A1
20140130158 Wang et al. May 2014 A1
20140137180 Lukacs et al. May 2014 A1
20140169762 Ryu Jun 2014 A1
20140179360 Jackson et al. Jun 2014 A1
20140181131 Ross Jun 2014 A1
20140189687 Jung et al. Jul 2014 A1
20140189866 Shiffer et al. Jul 2014 A1
20140189882 Jung et al. Jul 2014 A1
20140237600 Silberman et al. Aug 2014 A1
20140280245 Wilson Sep 2014 A1
20140283037 Sikorski et al. Sep 2014 A1
20140283063 Thompson et al. Sep 2014 A1
20140328204 Klotsche et al. Nov 2014 A1
20140337836 Ismael Nov 2014 A1
20140344926 Cunningham et al. Nov 2014 A1
20140351935 Shao et al. Nov 2014 A1
20140380473 Bu et al. Dec 2014 A1
20140380474 Paithane et al. Dec 2014 A1
20150007312 Pidathala et al. Jan 2015 A1
20150096022 Vincent et al. Apr 2015 A1
20150096023 Mesdaq et al. Apr 2015 A1
20150096024 Haq et al. Apr 2015 A1
20150096025 Ismael Apr 2015 A1
20150180886 Staniford et al. Jun 2015 A1
20150186645 Aziz et al. Jul 2015 A1
20150199513 Ismael et al. Jul 2015 A1
20150199531 Ismael et al. Jul 2015 A1
20150199532 Ismael et al. Jul 2015 A1
20150220735 Paithane et al. Aug 2015 A1
20150372980 Eyada Dec 2015 A1
20160004869 Ismael et al. Jan 2016 A1
20160006756 Ismael et al. Jan 2016 A1
20160044000 Cunningham Feb 2016 A1
20160127393 Aziz et al. May 2016 A1
20160191547 Zafar et al. Jun 2016 A1
20160191550 Ismael et al. Jun 2016 A1
20160261612 Mesdaq et al. Sep 2016 A1
20160285914 Singh et al. Sep 2016 A1
20160301703 Aziz Oct 2016 A1
20160335110 Paithane et al. Nov 2016 A1
20170083703 Abbasi et al. Mar 2017 A1
20170097740 Kimber Apr 2017 A1
20180013770 Ismael Jan 2018 A1
20180048660 Paithane et al. Feb 2018 A1
20180121316 Ismael et al. May 2018 A1
20180288077 Siddiqui et al. Oct 2018 A1
20190141013 Mail May 2019 A1
20190171817 Jaroch Jun 2019 A1
20190347407 Beskrovny Nov 2019 A1
Foreign Referenced Citations (11)
Number Date Country
2439806 Jan 2008 GB
2490431 Oct 2012 GB
0206928 Jan 2002 WO
0223805 Mar 2002 WO
2007117636 Oct 2007 WO
2008041950 Apr 2008 WO
2011084431 Jul 2011 WO
2011112348 Sep 2011 WO
2012075336 Jun 2012 WO
2012145066 Oct 2012 WO
2013067505 May 2013 WO
Non-Patent Literature Citations (58)
Entry
“Definition—What does parse mean?” [online] Mar. 23, 2017, Techopedia. [retrieved on Jul. 6, 2020]. Retrieved from https://www.techopedia.com/definition/3853/parse (Year: 2017).
“Mining Specification of Malicious Behavior”—Jha et al, UCSB, Sep. 2007 https://www.cs.ucsb.edu/.about.chris/research/doc/esec07.sub.-mining.pdf-.
“Network Security: NetDetector—Network Intrusion Forensic System (NIFS) Whitepaper”, (“NetDetector Whitepaper”), (2003).
“When Virtual is Better Than Real”, IEEEXplore Digital Library, available at, http://ieeexplore.ieee.org/xp/articleDetails.sp?reload=true&arnumbe- r=990073, (Dec. 7, 2013).
Abdullah, et al., Visualizing Network Data for Intrusion Detection, 2005 IEEE Workshop on Information Assurance and Security, pp. 100-108.
Adetoye, Adedayo , et al., “Network Intrusion Detection & Response System”, (“Adetoye”), (Sep. 2003).
Apostolopoulos, George; hassapis, Constantinos; “V-eM: A cluster of Virtual Machines for Robust, Detailed, and High-Performance Network Emulation”, 14th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Sep. 11-14, 2006, pp. 117-126.
Aura, Tuomas, “Scanning electronic documents for personally identifiable information”, Proceedings of the 5th ACM workshop on Privacy in electronic society. ACM, 2006.
Baecher, “The Nepenthes Platform: An Efficient Approach to collect Malware”, Springer-verlag Berlin Heidelberg, (2006), pp. 165-184.
Bayer, et al., “Dynamic Analysis of Malicious Code”, J Comput Virol, Springer-Verlag, France., (2006), pp. 67-77.
Boubalos, Chris , “extracting syslog data out of raw pcap dumps, seclists.org, Honeypots mailing list archives”, available at http://seclists.org/honeypots/2003/q2/319 (“Boubalos”), (Jun. 5, 2003).
Chaudet, C. , et al., “Optimal Positioning of Active and Passive Monitoring Devices”, International Conference on Emerging Networking Experiments and Technologies, Proceedings of the 2005 ACM Conference on Emerging Network Experiment and Technology, CoNEXT '05, Toulousse, France, (Oct. 2005), pp. 71-82.
Chen, P. M. and Noble, B. D., “When Virtual is Better Than Real, Department of Electrical Engineering and Computer Science”, University of Michigan (“Chen”) (2001).
Cisco “Intrusion Prevention for the Cisco ASA 5500-x Series” Data Sheet (2012).
Cohen, M.I. , “PyFlag—An advanced network forensic framework”, Digital investigation 5, Elsevier, (2008), pp. S112-S120.
Costa, M. , et al., “Vigilante: End-to-End Containment of Internet Worms”, SOSP '05, Association for Computing Machinery, Inc., Brighton U.K., (Oct. 23-26, 2005).
Didier Stevens, “Malicious PDF Documents Explained”, Security & Privacy, IEEE, IEEE Service Center, Los Alamitos, CA, US, vol. 9, No. 1, Jan. 1, 2011, pp. 80-82, XP011329453, ISSN: 1540-7993, DOI: 10.1109/MSP.2011.14.
Distler, “Malware Analysis: An Introduction”, SANS Institute InfoSec Reading Room, SANS Institute, (2007).
Dunlap, George W. , et al., “ReVirt: Enabling Intrusion Analysis through Virtual-Machine Logging and Replay”, Proceeding of the 5th Symposium on Operating Systems Design and Implementation, USENIX Association, (“Dunlap”), (Dec. 9, 2002).
FireEye Malware Analysis & Exchange Network, Malware Protection System, FireEye Inc., 2010.
FireEye Malware Analysis, Modern Malware Forensics, FireEye Inc., 2010.
FireEye v.6.0 Security Target, pp. 1-35, Version 1.1, FireEye Inc., May 2011.
Goel, et al., Reconstructing System State for Intrusion Analysis, Apr. 2008 SIGOPS Operating Systems Review, vol. 42 Issue 3, pp. 21-28.
Gregg Keizer: “Microsoft's HoneyMonkeys Show Patching Windows Works”, Aug. 8, 2005, XP055143386, Retrieved from the Internet: URL:http://www.informationweek.com/microsofts-honeymonkeys-show-patching-windows-works/d/d-d/1035069? [retrieved on Jun. 1, 2016].
Heng Yin et al., Panorama: Capturing System-Wide Information Flow for Malware Detection and Analysis, Research Showcase @ CMU, Carnegie Mellon University, 2007.
Hiroshi Shinotsuka, Malware Authors Using New Techniques to Evade Automated Threat Analysis Systems, Oct. 26, 2012, http://www.symantec.com/connect/blogs/, pp. 1-4.
Idika et al., A-Survey-of-Malware-Detection-Techniques, Feb. 2, 2007, Department of Computer Science, Purdue University.
Isohara, Takamasa, Keisuke Takemori, and Ayumu Kubota. “Kernel-based behavior analysis for android malware detection.” Computational intelligence and Security (CIS), 2011 Seventh International Conference on. IEEE, 2011.
Kaeo, Merike , “Designing Network Security”, (“Kaeo”), (Nov. 2003).
Kevin A Roundy et al: “Hybrid Analysis and Control of Malware”, Sep. 15, 2010, Recent Advances in Intrusion Detection, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 317-338, XP019150454 ISBN:978-3-642-15511-6.
Khaled Salah et al: “Using Cloud Computing to Implement a Security Overlay Network”, Security & Privacy, IEEE, IEEE Service Center, Los Alamitos, CA, US, vol. 11, No. 1, Jan. 1, 2013 (Jan. 1, 2013).
Kim, H. , et al., “Autograph: Toward Automated, Distributed Worm Signature Detection”, Proceedings of the 13th Usenix Security Symposium (Security 2004), San Diego, (Aug. 2004), pp. 271-286.
King, Samuel T., et al., “Operating System Support for Virtual Machines”, (“King”), (2003).
Kreibich, C. , et al., “Honeycomb-Creating Intrusion Detection Signatures Using Honeypots”, 2nd Workshop on Hot Topics in Networks (HotNets-11), Boston, USA, (2003).
Kristoff, J. , “Botnets, Detection and Mitigation: DNS-Based Techniques”, NU Security Day, (2005), 23 pages.
Lastline Labs, The Threat of Evasive Malware, Feb. 25, 2013, Lastline Labs, pp. 1-8.
Li et al., A VMM-Based System Call Interposition Framework for Program Monitoring, Dec. 2010, IEEE 16th International Conference on Parallel and Distributed Systems, pp. 706-711.
Lindorfer, Martina, Clemens Kolbitsch, and Paolo Milani Comparetti. “Detecting environment-sensitive malware.” Recent Advances in Intrusion Detection. Springer Berlin Heidelberg, 2011.
Marchette, David J., “Computer Intrusion Detection and Network Monitoring: A Statistical Viewpoint”, (“Marchette”), (2001).
Moore, D. , et al., “Internet Quarantine: Requirements for Containing Self-Propagating Code”, INFOCOM, vol. 3, (Mar. 30-Apr. 3, 2003), pp. 1901-1910.
Morales, Jose A., et al., “Analyzing and exploiting network behaviors of malware.”, Security and Privacy in Communication Networks. Springer Berlin Heidelberg, 2010. 20-34.
Mori, Detecting Unknown Computer Viruses, 2004, Springer-Verlag Berlin Heidelberg.
Natvig, Kurt , “SANDBOXII: Internet”, Virus Bulletin Conference, (“Natvig”), (Sep. 2002).
NetBIOS Working Group. Protocol Standard for a NetBIOS Service on a TCP/UDP transport: Concepts and Methods. STD 19, RFC 1001, Mar. 1987.
Newsome, J. , et al., “Dynamic Taint Analysis for Automatic Detection, Analysis, and Signature Generation of Exploits on Commodity Software”, In Proceedings of the 12th Annual Network and Distributed System Security, Symposium (NDSS '05), (Feb. 2005).
Nojiri, D. , et al., “Cooperation Response Strategies for Large Scale Attack Mitigation”, DARPA Information Survivability Conference and Exposition, vol. 1, (Apr. 22-24, 2003), pp. 293-302.
Oberheide et al., CloudAV.sub.-N-Version Antivirus in the Network Cloud, 17th USENIX Security Symposium USENIX Security '08 Jul. 28-Aug. 1, 2008 San Jose, CA.
Reiner Sailer, Enriquillo Valdez, Trent Jaeger, Roonald Perez, Leendert van Doorn, John Linwood Griffin, Stefan Berger., sHype: Secure Hypervisor Appraoch to Trusted Virtualized Systems (Feb. 2, 2005) (“Sailer”).
Silicon Defense, “Worm Containment in the Internal Network”, (Mar. 2003), pp. 1-25.
Singh, S. , et al., “Automated Worm Fingerprinting”, Proceedings of the ACM/USENIX Symposium on Operating System Design and Implementation, San Francisco, California, (Dec. 2004).
Thomas H. Placek, and Timothy N. Newsham , “Insertion, Evasion, and Denial of Service: Eluding Network Intrusion Detection”, Secure Networks, (“Ptacek”), (Jan. 1998).
Venezia, Paul , “NetDetector Captures Intrusions”, InfoWorld Issue 27, (“Venezia”), (Jul. 14, 2003).
Vladimir Getov: “Security as a Service in Smart Clouds—Opportunities and Concerns”, Computer Software and Applications Conference (COMPSAC), 2012 IEEE 36th Annual, IEEE, Jul. 16, 2012 (Jul. 16, 2012).
Wahid et al., Characterising the Evolution in Scanning Activity of Suspicious Hosts, Oct. 2009, Third International Conference on Network and System Security, pp. 344-350.
Whyte, et al., “DNS-Based Detection of Scanning Works in an Enterprise Network”, Proceedings of the 12th Annual Network and Distributed System Security Symposium, (Feb. 2005), 15 pages.
Williamson, Matthew M., “Throttling Viruses: Restricting Propagation to Defeat Malicious Mobile Code”, ACSAC Conference, Las Vegas, NV, USA, (Dec. 2002), pp. 1-9.
Yuhei Kawakoya et al: “Memory behavior-based automatic malware unpacking in stealth debugging environment”, Malicious and Unwanted Software (Malware), 2010 5th International Conference on, IEEE, Piscataway, NJ, USA, Oct. 19, 2010, pp. 39-46, XP031833827, ISBN:978-1-4244-8-9353-1.
Zhang et al., The Effects of Threading, Infection Time, and Multiple-Attacker Collaboration on Malware Propagation, Sep. 2009, IEEE 28th International Symposium on Reliable Distributed Systems, pp. 73-82.