|   | CMU-CS-05-169 Computer Science Department
 School of Computer Science, Carnegie Mellon University
 
    
     
 CMU-CS-05-169
 
Vulnerability-Specific Execution Filteringfor Exploit Prevention on Commodity Software
 
James Newsome, David Brumley, Dawn Song 
November 2005  
CMU-CS-05-169.pdf Keywords: Worms, exploits, antibodies, vulnerability-specific 
execution filtering, VSEF
 Exploits for new vulnerabilities, especially when incorporated within 
a fast spreading worm, can compromise nearly all vulnerable hosts within 
a short amount of time. This problem demonstrates the need for fast 
defenses which can react to a new vulnerability quickly. In addition, 
a realistic defense system should (a) not require source code since 
in practice most vulnerable systems do not have source code access 
nor is there adequate time to involve the software vendor, (b) be 
accurate, i.e., have a negligible false positive rate and low false
negative rate, and (c) be efficient, i.e., add little overhead to 
normal program execution. We propose vulnerability-specific 
execution-based filtering (VSEF) --  a new approach for automatic 
defense which achieves a lower error rate and wider applicability 
than input filters and has better performance than full execution 
monitoring. VSEF is an execution-based filter which filters out 
attacks on a specific vulnerability based on the vulnerable program's 
execution trace. We present VSEF, along with a system for automatically 
creating VSEF filters and a hardened program without access to source 
code. In our system, the time it takes to create the filter and 
generate the hardened program is negligible. The overhead of the 
hardened program is only a few percent in most cases. The false 
positive rate is zero in most cases, and the hardened program is 
resilient against polymorphic variants of exploits on the same 
vulnerability. VSEF therefore achieves the required performance, 
accuracy, and response speed requirements to defend against 
current fast-spreading exploits.
 
30 pages 
 
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