The invention relates to computer software analysis in general, and more particularly to remediation of security vulnerabilities in computer software.
Static analysis tools are often used by computer software developers to provide information about computer software while applying only static considerations (i.e., without executing a computer software application). In one type of static analysis, data flows are traced within a computer software application from “sources,” being application programming interfaces (API) that introduce “untrusted” input into a program, such as user input, to “sinks,” being security-sensitive operations such as modifying a database. Such flows are identified as security vulnerabilities that may require remediation, typically by ensuring that a flow that is identified as a security vulnerability encounters a “downgrader” that validates and/or sanitizes untrusted input, such as by checking whether the input contains illegal characters or is in an illegal format, both common tactics used in malicious attacks. Static analysis tools that identify security vulnerabilities typically provide computer software developers with a short description of each type of security vulnerability found, and may even provide sample code snippets that may be used by the developer to construct a downgrader for remediating the security vulnerability.
In addition to identifying a security vulnerability and deciding what type of downgrader to use for its remediation, deciding where to locate a downgrader within a data flow is a matter of importance as well. Misplacement of a downgrader may leave the original security vulnerability in place or cause other problems. Also, in order to maximize code quality and maintainability, it is desirable to apply as few code changes as possible.
In one aspect of the invention a method is provided for processing a downgrader specification, the method including constructing a set of candidate downgrader placement locations found within a computer software application, where each of the candidate downgrader placement locations corresponds to a transition between a different pair of instructions within the computer software application, and where each of the transitions participates in any of a plurality of data flows in a set of security-sensitive data flows within the computer software application, applying a downgrader specification to the set of candidate downgrader placement locations, and determining that the downgrader specification provides full coverage of the set of security-sensitive data flows within the computer software application if at least one candidate downgrader placement location within each of the security-sensitive data flows is a member of the set of candidate downgrader placement locations.
In another aspect of the invention a method is provided for processing a downgrader specification, the method including constructing a set of candidate downgraders for processing a set of security-sensitive data flows within a computer software application, where each of the security-sensitive data flows is processable by at least one of the candidate downgraders, applying a downgrader specification to the set of candidate downgraders, and determining that the downgrader specification provides full coverage of the set of security-sensitive data flows within the computer software application if each of the security-sensitive data flows is processable by at least one of the candidate downgraders remaining in the set of candidate downgraders.
In other aspects of the invention systems and computer program products embodying the invention are provided.
The invention will be understood and appreciated more fully from the following detailed description taken in conjunction with the appended drawings in which:
The invention is now described within the context of one or more embodiments, although the description is intended to be illustrative of the invention as a whole, and is not to be construed as limiting the invention to the embodiments shown. It is appreciated that various modifications may occur to those skilled in the art that, while not specifically shown herein, are nevertheless within the true spirit and scope of the invention.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or computer program product. Accordingly, aspects of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment (including firmware, resident software, micro-code, etc.) or an embodiment combining software and hardware aspects that may all generally be referred to herein as a “circuit,” “module” or “system.” Furthermore, aspects of the present invention may take the form of a computer program product embodied in one or more computer readable medium(s) having computer readable program code embodied thereon.
Any combination of one or more computer readable medium(s) may be utilized. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical data storage device, a magnetic data storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
Aspects of the present invention are described below with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
Reference is now made to
A downgrader specification processor 112 is configured to eliminate from set 102 of candidate downgrader placement locations any of the candidate downgrader placement locations whose elimination is indicated by a downgrader specification 114. Downgrader specification 114 may be predefined for use with any computer software application or user-defined to be specifically adapted for use with a particular computer software application, or predefined in part and user-defined in part. Downgrader specification 114 may, for example, indicate that downgraders are to be placed in particular modules or layers of a computer software application, and therefore candidate downgrader placement locations in set 102 that are not in the indicated modules or layers are to be eliminated from set 102. Downgrader specification 114 may, for example, additionally or alternatively indicate that downgraders may not be placed in certain areas in the computer software application code, and therefore candidate downgrader placement locations in set 102 that are located in the indicated areas are to be eliminated from set 102. Downgrader specification 114 may, for example, additionally or alternatively indicate that downgraders be placed at most n instruction steps away from a code location where the untrusted data is read and/or m instruction steps away from a security-sensitive operation, and therefore candidate downgrader placement locations in set 102 that are not within the indicated distances are to be eliminated from set 102. Downgrader specification processor 112 is alternatively or additionally configured to eliminate from the set 108 of candidate downgraders any of the candidate downgraders whose elimination is indicated by downgrader specification 114. Downgrader specification 114 may, for example, require that
A coverage manager 116 is configured to determine whether or not downgrader specification 114 provides full coverage of set 106 of security-sensitive data flows within computer software application 104. If, after downgrader specification processor 112 has processed downgrader specification 114 as described hereinabove, at least one candidate downgrader placement location within each of the security-sensitive data flows in set 106 is a member of set 102 of candidate downgrader placement locations, then downgrader specification 114 provides full coverage of set 106 of security-sensitive data flows within computer software application 104. Otherwise, if downgrader specification 114 is configured such that all of the candidate downgrader placement locations within any of the security-sensitive data flows in set 106 have been eliminated from set 102 of candidate downgrader placement locations, then downgrader specification 114 does not provide full coverage of set 106 of security-sensitive data flows within computer software application 104. Coverage manager 116 is additionally or alternatively configured to determine that downgrader specification 114 provides full coverage of the set 106 of security-sensitive data flows within the computer software application if each of the security-sensitive data flows is processable by at least one of the candidate downgraders remaining in the set 108 of candidate downgraders. Coverage manager 116 is preferably configured to report, such as via a computer output device (not shown), whether or not downgrader specification 114 provides full coverage of set 106, preferably indicating which aspects of downgrader specification 114 resulted in less than full coverage and/or which security-sensitive data flows are not covered by downgrader specification 114.
Any of the elements shown in
Reference is now made to
It is noted that step 202 need not be performed if, when constructing the set of candidate downgrader placement locations, a candidate downgrader placement location is included in the set if its membership in the set is indicated by the downgrader specification.
Reference is now made to
Reference is now made to
It is noted that step 402 need not be performed if, when constructing the set of candidate downgraders, a candidate downgrader is included in the set if its membership in the set is indicated by the downgrader specification.
It will be appreciated that the methods of
Referring now to
As shown, the techniques for controlling access to at least one resource may be implemented in accordance with a processor 510, a memory 512, I/O devices 514, and a network interface 516, coupled via a computer bus 518 or alternate connection arrangement.
It is to be appreciated that the term “processor” as used herein is intended to include any processing device, such as, for example, one that includes a CPU (central processing unit) and/or other processing circuitry. It is also to be understood that the term “processor” may refer to more than one processing device and that various elements associated with a processing device may be shared by other processing devices.
The term “memory” as used herein is intended to include memory associated with a processor or CPU, such as, for example, RAM, ROM, a fixed memory device (e.g., hard drive), a removable memory device (e.g., diskette), flash memory, etc. Such memory may be considered a computer readable storage medium.
In addition, the phrase “input/output devices” or “I/O devices” as used herein is intended to include, for example, one or more input devices (e.g., keyboard, mouse, scanner, etc.) for entering data to the processing unit, and/or one or more output devices (e.g., speaker, display, printer, etc.) for presenting results associated with the processing unit.
The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be appreciated that any of the elements described hereinabove may be implemented as a computer program product embodied in a computer-readable medium, such as in the form of computer program instructions stored on magnetic or optical storage media or embedded within computer hardware, and may be executed by or otherwise accessible to a computer (not shown).
While the methods and apparatus herein may or may not have been described with reference to specific computer hardware or software, it is appreciated that the methods and apparatus described herein may be readily implemented in computer hardware or software using conventional techniques.
While the invention has been described with reference to one or more specific embodiments, the description is intended to be illustrative of the invention as a whole and is not to be construed as limiting the invention to the embodiments shown. It is appreciated that various modifications may occur to those skilled in the art that, while not specifically shown herein, are nevertheless within the true spirit and scope of the invention.
Number | Name | Date | Kind |
---|---|---|---|
7293175 | Brown | Nov 2007 | B2 |
7530107 | Ono et al. | May 2009 | B1 |
7653520 | De Moura | Jan 2010 | B2 |
7945958 | Amarasinghe et al. | May 2011 | B2 |
8572747 | Berg | Oct 2013 | B2 |
8667584 | Berg | Mar 2014 | B2 |
8701186 | Berg | Apr 2014 | B2 |
8769696 | Pistoia | Jul 2014 | B2 |
8850405 | Fink | Sep 2014 | B2 |
8863292 | Pistoia | Oct 2014 | B2 |
8875297 | Pistoia | Oct 2014 | B2 |
8881300 | Pistoia | Nov 2014 | B2 |
8954725 | Singh | Feb 2015 | B2 |
9292693 | Tripp | Mar 2016 | B2 |
9298926 | Tripp | Mar 2016 | B2 |
20020073313 | Brown | Jun 2002 | A1 |
20040019468 | De Moura | Jan 2004 | A1 |
20040098682 | Jain | May 2004 | A1 |
20050166167 | Ivancic | Jul 2005 | A1 |
20060282897 | Sima et al. | Dec 2006 | A1 |
20070074188 | Huang | Mar 2007 | A1 |
20080184208 | Sreedhar et al. | Jul 2008 | A1 |
20080209567 | Lockhart et al. | Aug 2008 | A1 |
20090119624 | Chess | May 2009 | A1 |
20090183137 | Ponnath | Jul 2009 | A1 |
20090282393 | Costa et al. | Nov 2009 | A1 |
20090282480 | Lee et al. | Nov 2009 | A1 |
20100083240 | Siman | Apr 2010 | A1 |
20100287613 | Singh | Nov 2010 | A1 |
20110030061 | Artzi et al. | Feb 2011 | A1 |
20110087892 | Haviv et al. | Apr 2011 | A1 |
20110131656 | Haviv et al. | Jun 2011 | A1 |
20110197180 | Huang et al. | Aug 2011 | A1 |
20120131668 | Berg | May 2012 | A1 |
20120151592 | Veanes et al. | Jun 2012 | A1 |
20120159619 | Berg | Jun 2012 | A1 |
20120167209 | Molnar et al. | Jun 2012 | A1 |
20120216177 | Fink | Aug 2012 | A1 |
20120260344 | Maor et al. | Oct 2012 | A1 |
20120304161 | Ahadi | Nov 2012 | A1 |
20130086676 | Chess et al. | Apr 2013 | A1 |
20130086686 | Pistoia | Apr 2013 | A1 |
20130086687 | Chess et al. | Apr 2013 | A1 |
20130091578 | Bisht | Apr 2013 | A1 |
20130111310 | De Oliveira et al. | May 2013 | A1 |
20130152204 | Pistoia | Jun 2013 | A1 |
20130152205 | Pistoia | Jun 2013 | A1 |
20130179978 | Pistoia | Jul 2013 | A1 |
20130205391 | Berg | Aug 2013 | A1 |
20140101756 | Tripp | Apr 2014 | A1 |
20140101769 | Tripp | Apr 2014 | A1 |
20140298472 | Kouskoulas | Oct 2014 | A1 |
20160196429 | Tripp | Jul 2016 | A1 |
20160196434 | Tripp | Jul 2016 | A1 |
Entry |
---|
Abadi, A. et al., “Automatically Fixing Security Vulnerabilities In Java Code”, SPLASH '11 Proceedings of the ACM International conference companion on Object oriented programming systems languages and applications companion, pp. 3-4, Oct. 22-27, 2011. |
Balzarotti, D. et al., “Saner: Composing Static and Dynamic Aanalysis to Validate Sanitization in Web Applications,” In IEEE Symposium on Security and Privacy, SP 2008, pp. 387-401, 2008. |
Bisht, P. et al., “CANDID: Dynamic Candidate Evaluations for Automatic Prevention of SQL Injection Attacks,” In ACM Transactions on Information and System Security (TISSEC), vol. 13, No. 2, Art, 14, Feb. 2010. |
Hooimeijer, p et al., “Fast and Precise Sanitizer Analysis With BEK,” In Proceedings of the 20th USENIX Conference on Security, USENIX Association, 16 pg., 2011. |
Vechev, M. et al., “Abstraction-guided synthesis of synchronization”, POPL'10 Proceedings of the 37th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages, pp. 327-338, Jan. 17-23, 2009. |
Kuperstein, M. et al., “Partial-coherence abstractions for relaxed memory models”, PLDI'11 Proceedings of the 32nd ACM SIGPLAN conference on Programming language design and implementation, pp. 187-198, Jun. 4-8, 2011. |
Livshits, B. et al., “MERLIN: Specification inference for explicit information-flow problems”, PLDI '09 Proceedings of the 2009 ACM SIGPLAN conference on Programming language design and implementation, pp. 75-86, Jun. 15-20, 2009. |
Le, W. et al., “Generating Analyses for Detecting Faults in Path Segments”, ISSTA '11 Proceedings of the 2011 International Symposium on Software Testing and Analysis, pp. 320-330, Jul. 17-21, 2011. |
Mui, R. et al., “Preventing SQL Injection through Automatic Query Sanitization with ASSIST,” In Proceedings Fourth International Workshop on Testing, Analysis and Verification of Web Software (TAV-WEB 2010), Sep. 21, 2010, 12 pg. |
Muthukumaran, D. et al., “Cut Me Some Security,” In Proceedings of the 3rd ACM workshop on Assurable and Usable Security Configuration, pp. 75-78. ACM, 2010. |
King, D. et al., “Automating Security Mediation Placement,” In Programming Languages and Systems, pp. 327-344, Springer Berlin Heidelberg, 2010. |
Lelarge, M. et al., “Automatic Composition of Secure Workflows,” In Autonomic and Trusted Computing, pp. 322-331 Springer Berlin Heidelberg, 2006. |
Tateishi, T. et al., “Path-and Index-Sensitive String Aanalysis Based on Monadic Second-Order Logic,” In Proceedings of the 2011 International Symposium on Software Testing and Analysis, pp. 166-176. ACM, Feb. 2011. |
Livshits, B., “Dynamic Taint Tracking in Managed Runtimes,” Technical Report MSR-TR-2012-114, Microsoft Research, 18 pg., 2012. |
Vechev, M. et al., “Abstraction-Guided Synthesis of Synchronization,” In ACM Sigplan Notices, vol. 45, No. 1, pp. 327-338, ACM, 2010. |
U.S. Appl. No. 13/647,711, Non-Final Office Action, dated Oct. 2, 2014, 51 pg. |
U.S. Appl. No. 13/647,711, Final Office Action, dated Mar. 11, 2015, 49 pg. |
U.S. Appl. No. 13/647,711, Notice of Allowance, dated Dec. 9, 2015, 16 pg. |
U.S. Appl. No. 14/024,730, Non-Final Office Action, dated Oct. 3, 2014, 54 pg. |
U.S. Appl. No. 14/024,730, Final Office Action, dated Mar. 12, 2015, 51 pg. |
U.S. Appl. No. 14/024,730, Notice of Allowance, dated Dec. 14, 2015, 14 pg. |
U.S. Appl. No. 15/073,208 Notice of Allowance, dated Aug. 2, 2016, 17 pg. |
U.S. Appl. No. 15/073,208 Notice of Allowance, dated Jul. 7, 2016, 17 pg. |
Saxena, P. et al., “ScriptGard: Automatic Context-Sensitive Sanitization for Large-Scale Legacy Web Applications,” In Proc. of 18th ACM Conf. on COmputer and Communications Security, pp. 601-614, Oct. 17-27, 2011. |
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20160357969 A1 | Dec 2016 | US |
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Parent | 14024730 | Sep 2013 | US |
Child | 15073258 | US | |
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Child | 14024730 | US |