Automated Evasion Attacks and Fingerprinting Using Blackbox Differential Automata Learning
Explore a conference talk on SFADiff, an innovative approach to automated evasion attacks and fingerprinting using blackbox differential automata learning. Delve into the motivations behind evaluating web security products and the advantages of differential testing. Examine Symbolic Finite Automata (SFA) and the process of learning symbolic automata. Understand the concept of differential automata learning and its bootstrapping algorithm. Discover how to generate program fingerprints and construct fingerprint trees. Analyze the evaluation of the bootstrapping algorithm and its application in identifying differences in TCP/IP implementations, including a focus on the Mac OSX TCP/IP state machine. Gain valuable insights into this cutting-edge research presented at the 23rd ACM Conference on Computer and Communications Security.