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WADE: LSTM anomaly detection for WebAssembly runtime behavior
- Engineer — Learn: Novel behavioral detection approach for Wasm applications worth tracking if you ship WebAssembly workloads; the technique of training LSTM models on benign execution traces addresses Wasm’s lack of ASLR/stack canaries, but there’s no tooling ready to adopt yet.
- SOC/IR — Learn: The function-trace anomaly detection methodology is conceptually applicable to future Wasm-specific detection coverage, but the research produces no IOCs, no ATT&CK mappings, and no detection rules to act on today.
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