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DeepZero - Automated Vulnerability Research

  • What: New tool for automated zero-day vulnerability research
  • Impact: May influence future security research practices
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Hunt zero-days at scale. DeepZero is a highly concurrent orchestration engine for automated vulnerability research. Define custom, multi-stage pipelines to parse binaries, run heuristics, and orchestrate LLMs across massive datasets at scale. Start Hunting View Source INGEST 1. Binary Corpus Parsing MAP MAP MAP 2. Parallel AI & Heuristic Grading REDUCE 3. Validated Zero-Day Signals Filtered (Noise) Massive Parallel Triage Ingest massive datasets like the Snappy Driver Installer corpus. DeepZero parallelizes PE parsing, Ghidra headless decompilation, and static analysis natively across your hardware. Heuristic & AI Assessment LLMs are just one stage of the pipeline. DeepZero filters Windows IOCTL surfaces, excludes known loldrivers.io hashes, runs Semgrep rules, and uses LLMs only to assess exploitability on the highest-signal candidates. Resilient Orchestration Built for week-long hunting campaigns. DeepZero tracks atomic state per-sample. Interrupt it anytime, and resume instantly without losing a single cycle.

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