Microsoft MDASH

Microsoft MDASH — multi-model agentic vulnerability-discovery harness finds 16 Windows CVEs in network-stack kernel components

Microsoft's Autonomous Code Security team published a detailed technical disclosure on 2026-05-12 of MDASH, an AI-orchestrated vulnerability-discovery pipeline running over 100 specialised agents across an ensemble of frontier and distilled models (Microsoft Security Blog, 2026-05-12). The pipeline executes a five-stage prepare → scan → validate → dedup → prove loop that ends with an automated end-to-end exploitability proof before a finding is sent to engineering — meaning every MDASH-disclosed CVE was validated as practically exploitable, not just theoretically reachable. In MDASH's first production run against Windows the harness produced 16 previously unknown CVEs concentrated in the network-exposed kernel attack surface — tcpip.sys (Windows TCP/IP stack), ikeext.dll (the Windows IKEv2 keying service for DirectAccess and Always-On VPN), netlogon.dll, and dnsapi.dll — split as 10 kernel-mode and 6 user-mode bugs, including four Critical RCEs. The harness scored 88.45% on the public CyberGym benchmark (1,507 real-world CVEs across 188 open-source projects) and achieved 100% recall on the tcpip.sys historical-CVE corpus (The Register, 2026-05-13). Microsoft has scheduled a customer-facing preview of the harness for June 2026.