Home

Methodology Last checked June 3, 2026

Methodology

Bugflation is a source-led ledger. We count public evidence of AI-attributed vulnerability discovery, not private telemetry or inferred model usage.


What counts

A finding enters the ledger when all of the following are true:

Attribution labels

Attribution is not binary. The ledger uses three labels:

What we exclude

Severity

When a CVE has an authoritative CVSS score, the ledger follows the vendor or CNA severity where practical. For clusters that group several CVEs in one release, the severity is editorial and is explained in the entry.

Evidence index

System profiles include an evidence index. It is not a capability score. It reflects the strength and density of public sources: direct upstream credits score higher than self-reported claims, and entries with multiple corroborating sources score higher than single-source entries.

Correction policy

If an entry overstates impact, mislabels attribution, or misses a primary source, we revise it. Corrections should be sent to hello@bugflation.com with links to the relevant source material.

Current source set

The launch ledger is based on public material from Google Project Zero, Google's security announcements, OSS-Fuzz updates, Chrome release notes, Apple security advisories, Mozilla security advisories, Anthropic research posts, FreeBSD security advisories, OpenSSL and wolfSSL release material, Microsoft Security Blog posts, OpenAI research and product-security posts, NVD, CVE.org, MSRC-linked CVE records, XBOW publications, AISLE publications, Calif.io MADBugs write-ups, Xint/Theori CopyFail material, the Xint public bug tracker, Linux kernel commits, ZeroPath research posts and Wall of Fame material, ProFTPD and Spinnaker release/advisory records, FFmpeg patch links, sudo upstream commits, Qualys CrackArmor material, Striga research and CVE material, Apache HTTP Server advisories, Apache NiFi advisories, oss-security postings, Bynario research posts, Bynario-linked Linux kernel commits, Apple product-security advisories, Horizon3.ai ActiveMQ research, Microsoft Security Blog and MSRC material for codename MDASH, V12 Fragnesia material, Linux netdev patch mail, distribution trackers for CVE-2026-46300, Anthropic's Project Glasswing CVD dashboard and ledger, DepthFirst NGINX Rift material, F5/NGINX-linked CVE records, Palo Alto Networks frontier-AI posts, security advisories, and advisory CSV, and HackerOne policy material.