cKEV Index Launches to Prioritize Vulnerabilities Using Urgent Patch Score Methodology

CyberOK has introduced the open cKEV Index, a catalog of high-priority vulnerabilities based on the Urgent Patch Score (UPS) framework that tracks signals such as exploit publication and confirmed attacks. The index addresses the growing gap between accelerated vulnerability discovery powered by AI and the slower pace of patching, testing, and deployment in real environments. It incorporates timelines from sources including Anthropic reports on AI-assisted campaigns GTG-50014 and GTG-50029, the rust-in-peace framework, Microsoft Exchange Server Subscription Edition delays, and Oracle’s record 1,434 CVE fixes. UPS defines progressive phases from Radar to Emergency/IR, allowing teams to link specific events like PoC releases or CISA KEV additions to concrete actions under resource constraints. Research using 2025 CISA KEV data shows that early signals enable 35–53% of patches to be completed before official exploitation confirmation. The public version displays only Urgent Patch and Emergency stages with event histories, while full data and API access are available to CyberOK customers.

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CyberOK has launched the cKEV Index, an open catalog of prioritized vulnerabilities built on the Urgent Patch Score (UPS) methodology. The project responds to the widening gap between AI-accelerated vulnerability discovery and the unchanged time required for compatibility testing, change approval, and safe deployment.

Artificial intelligence now assists attackers in reconnaissance, code analysis, exploit development, and data processing. Anthropic documented two campaigns, GTG-50014 and GTG-50029, where small teams or even single operators used AI agents to analyze Android applications, craft working exploits, and compromise at least four websites. Similar capabilities are lowering the cost of 1-day exploit creation against already disclosed vulnerabilities.

Defenders face the same pressure. CyberOK researchers released the open-source rust-in-peace framework that combines multiple AI-driven techniques for finding, reproducing, and verifying vulnerabilities in open-source projects, including the Linux kernel. Microsoft cited increased AI-assisted findings as a reason for delaying the first cumulative update of Exchange Server Subscription Edition. Oracle patched 1,434 CVEs in a single quarterly update, attributing part of the volume to expanded AI-assisted detection.

The UPS model records verifiable signals—publication dates, PoC availability, weaponized exploits, and confirmed attacks—and maps them to operational phases: Radar, Watch, Track, Prepare, Urgent Patch, and Emergency/IR. Strong signals can immediately elevate priority without traversing every stage. The public cKEV Index currently shows only the two most urgent phases together with abbreviated event histories, CVSS, EPSS, and exploitation details.

Empirical modeling based on 245 vulnerabilities added to CISA KEV in 2025 demonstrated that organizations using early UPS signals completed 35–53% of required patches before the official KEV inclusion date, even under constrained patching capacity. Teams are advised to begin with inventory mapping on broad lists and reserve detailed testing for confirmed high-urgency items affecting their environment.

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