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Automated Policy Synthesis for System Call Sandboxing

Talkat OOPSLA 2020 · 2020-11-15..11-20· [security]
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Abhaya automatically generates sound, optimal syscall-whitelisting policies by combining a scalable static analysis with an SMT-guided synthesis phase. The static analysis uses a reduced product of array expansion and disjunctive interval domains to produce syscall invariants; synthesis enumerates sketches and uses CEGIS-like blocking clauses. Evaluated on 674 apps (491 seccomp / 183 pledge), it blocks all recorded Linux privilege-escalation exploits for over 90% of apps, matches developer pledge policies exactly for ~60% (avg F1 ≈ 0.9), and runs in about 7.3 min analysis + 2.3 min synthesis per app.

AI-written summary · about

  1. 0:00Intro
  2. 0:31Syscall Whitelisting
  3. 1:09Attack Scenario
  4. 3:34Policy Synthesis with Abhaya
  5. 4:07Workflow
  6. 4:47Why overapproximate?
  7. 5:47Motivating Example
  8. 7:57Syscall Analysis
  9. 10:06Compute Syscall Invariant
  10. 11:12Why optimal synthesis?
  11. 12:43Highlights of Synthesis Algorithm
  12. 13:58Evaluation: Research Questions
  13. 14:13Evaluation: Setup
  14. 14:37Evaluation: Block Real World Exploits
  15. 15:23Comparison against Manually written policies
  16. 16:06How Efficient is Abhaya
  17. 16:34Conclusion
  18. 16:55Questions?
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