PDF-Taint-basedDirectedWhiteboxFuzzingVijayGaneshandTimLeekandMartinRinard

inputisidenticaltooneofthesampleinputsexceptthattheinputbytesthataectthevaluesatoneormoreattackpointshavebeenalteredBydefaultourimplementedBuzzFuzzsystemsetsthesebytestoextremalvalueseglarge. inputisidenticaltooneofthesampleinputs,ex-ceptthattheinputbytesthataectthevaluesatoneormoreattackpointshavebeenaltered.Bydefault,ourimplementedBuzzFuzzsystemsetsthesebytestoextremalvalues,e.g.,large, Paper by: James Newsome and Dawn Song. Network and Distributed Systems Security Symposium (NDSS), Feb 2005.. . CS451 Spring 2011. Instructor: Christos Papadopoulos. Original slides by . Devendra. . Union. History. , state of affairs and challenges for the years to come. Gé . Backus. Amsterdam, November 30, 2011. Contents presentation. Castration. Setting the stage. Castration . practices. in the EU. About Dynamic . Taint . Analysis & Forward . Symbolic . Execution (. but might have been afraid to ask. ). Edward J. Schwartz, . ThanassisAvgerinos. , David . Brumley. Presented by: . Vaibhav . Rastogi. Data tainting and analysis. Roadmap. Background. TaintDroid. JavaScript. Conclusion. Background. In smartphone, we. . use third-party applications such as . - Google map, Angry bird … . etc. More than 10Billion Apps. (but might have been afraid to ask). IEEE S&P 2010. Overview. Two Main Contributions. Precisely describe the algorithms for dynamic taint analysis and forward symbolic execution as extensions to the run-time semantics of a general language. Yinzhi Cao. Reference: . http. ://www.cs.tau.ac.il/~. omertrip/pldi09/TAJ.ppt. www.cs.cmu.edu/~. soonhok/talks/20110301.pdf. 2. Motivating Example. *. * Inspired by . Refl1. in. SecuriBench Micro. Taint Flow #1. Linda F. Bisson. Department of Viticulture and Enology. UCD. Management of S-Taints. Diagnosis of Taint. Taint Prevention. Taint Mitigation. DIAGNOSIS OF SULFUR TAINTS. . Correct Diagnosis of Fault Is Important. Edward J. Schwartz, . Thanassis. Avgerinos, David . Brumley. Presented by: . Haitao Xu. 1. The Root of All Evil. Humans write programs. This Talk:. Computers Analyzing Programs Dynamically at Runtime. Suman Jana. Dynamic Taint Analysis. Track information flow through a program at runtime. Identify sources of taint – . “. TaintSeed. ”. What are you tracking?. Untrusted input. Sensitive data. Taint Policy – . by Human nose. Validation of the hot water method. Lene Meinert, ph.d.. DMRI, Center of Meat Quality. lme@dti.dk. Background . Presentation of the hot water method. Validation work. Procedure for test and training of assessors. Yinzhi Cao. Reference: . http. ://www.cs.tau.ac.il/~. omertrip/pldi09/TAJ.ppt. www.cs.cmu.edu/~. soonhok/talks/20110301.pdf. 2. Motivating Example. *. * Inspired by . Refl1. in. SecuriBench Micro. Taint Flow #1. About Dynamic . Taint . Analysis & Forward . Symbolic . Execution (. but might have been afraid to ask. ). Edward J. Schwartz, . ThanassisAvgerinos. , David . Brumley. Presented by: . Vaibhav . Rastogi. Dynamic Taint Analysis. Track information flow through a program at runtime. Identify sources of taint – . “. TaintSeed. ”. What are you tracking?. Untrusted input. Sensitive data. Taint Policy – .