DEVOURED
Build your own vulnerability harness
Cloudflare built a model-agnostic vulnerability harness that scans 128 repositories, filtering 20,799 raw findings down to 7,245 verified actionable patches.
What: The system uses a multi-stage pipeline—Recon, Hunt, Validate—where different LLMs independently check each other's work to ensure security findings are adversarial and verified.
Why it matters: This highlights the shift from using LLMs as single-shot tools to treating them as interchangeable, adversarial components in a persistent, automated security-auditing pipeline.
Takeaway: Separate your security logic from the model provider by implementing a 'Vulnerability Validation System' that independently judges findings against source code.
Deep dive
- Operates as a two-stage operational framework: Vulnerability Discovery Harness (VDH) and Vulnerability Validation System (VVS).
- Uses a different model for VVS than VDH to enforce cross-model verification.
- Requires every finding to include a working PoC (Proof of Concept) and a functional git diff patch.
- System is model-agnostic, allowing interchangeable use of any frontier model based on performance.
- Employs deterministic code (non-LLM) to check schema adherence and run regression tests.
- Cross-repo tracing identifies systemic flaws by analyzing dependencies across the entire codebase fleet.
- Dedicated 'Dedup' agents cluster overlapping findings to identify common root causes.
Decoder
- Vulnerability Harness: An automated framework designed to scan, probe, and validate code for security weaknesses at scale.
- Adversarial Verification: A process where a second, independent agent attempts to disprove the findings of a first agent to eliminate false positives.
Original article
Full article content is not available for inline reading.
Explore all 55 articles in today's digest
Fresh dev news, AI-digested daily. Never miss a trend at devoured.fyi