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Dynamic Taint Analysis for Automatic Detection, Analysis,and Signature Generation of Exploits on Commodity Software
Authors: James Newsome, Dawn Song
Presenters:
Sheikh M Qumruzzaman
Khaled M Al-Naami
Welcome and Introduction
Overview
Dynamic Taint Analysis
TaintCheck
TaintSeed
TaintTracker
TaintAssert
Exploit Analyzer
Security Analysis of TaintCheck
Evaluation and Performance
Automatic Signature Generation
Conclusion
Overview
Worms exploit software vulnerabilities.
Buffer Overflow.
Format String.
Dangling Pointers.
SQL Injection.
CodeRed and Slammer exploit vulnerabilities and can compromise hundreds of thousands of hosts within hours or minutes.
Slammer
The geographical spread of Slammer in the 30 minutes after its release.
Source: /xpls/abs_all.jsp?arnumber=1219056tag=1
CodeRed
Code Red’s probe rate during its re-emergence on 1 August, 2001
Source: /xpls/abs_all.jsp?arnumber=1219056tag=1
WHAT DO WE NEED?
An automatic detect and defense system.
Automatic development of attack signatures.
In this paper authors proposed new technique ‘Dynamic Taint Analysis’ and showed how it can be used to detect and analyze software exploits
ATTACK DETECTORS
Coarse grained detectors:
Detect anomalous behavior such as scanning and do not provide detailed information about vulnerability and how it exploited.
Fine grained detectors:
Detect attack on a program vulnerability, and provide detailed information about it.
Several approaches for fine grained detectors. But most of them are not dynamic.
Dynamic Taint Analysis
Tainted Data: Data from un-trusted sources.
Keep track of tainted data.
Monitor program execution to track how tainted attributes propagate
Check when tainted data is used in dangerous ways
TaintCheck – An automatic dynamic taint analysis tool.
TaintCheck
Doesn’t require source code/special compilation.
Reliably detects most overwrite attacks.
No known false positives.
Enables automatic semantic analysis based signature generation.
Design and Impleme
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