_sophia-d39antoine-asm2vec-binary-learning-for-vulnerability-discovery.jpg "Sophia d'Antoine — asm2vec: Binary Learning for Vulnerability Discovery from asm tool Video Screenshot Preview")
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⏲ Duration: 42 min 52 sec
✓ Published: 08-Jun-2018
✓ Published: 08-Jun-2018
Description:
This talk will present a novel application of a machine learning model and a corresponding tool, asm2vec, for vulnerability discovery.Treating both program disassembly as a natural language, we construct embeddings of identifiers at scale using a concept similar to word2vec, in which the output is a vector of related identifiers and their proximity.nnIdentifiers in assembly vary but for this talk include: function contexts, variables, data flow, memory cells, and operations of interest (reads
This talk will present a novel application of a machine learning model and a corresponding tool, asm2vec, for vulnerability discovery.Treating both program disassembly as a natural language, we construct embeddings of identifiers at scale using a concept similar to word2vec, in which the output is a vector of related identifiers and their proximity.nnIdentifiers in assembly vary but for this talk include: function contexts, variables, data flow, memory cells, and operations of interest (reads
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