Glasswing at seven months: 37,966 findings, 217 fixes, says VulnCheck
37,966 findings. 217 fixed. That is the ratio VulnCheck pulled from Anthropic's own disclosure ledger as of its November 2 update, in a post dated November 9 that hit the Hacker News front page on Wednesday with 445 points: https://www.vulncheck.com/blog/anthropic-glasswing-november-update. VulnCheck sells vulnerability intelligence and the author has been openly skeptical of Project Glasswing since April, so read every number below as VulnCheck's count, not an audit.
The tally: 442 CVEs attributable to Anthropic in seven months, about 63 a month and roughly 0.5% of the 93,450 CVEs published this year. Only two of them show up in VulnCheck's exploited-in-the-wild list. Of the 37,966 findings on Anthropic's ledger, 7,349 are public and 217 are marked fixed. Since September 8 the ledger added nearly 12,000 findings and 15 fixes. Duplicates jumped from 2 to the 1,654 to 1,670 range (the post gives both), about 7.5 times the number fixed, and 419 findings were withdrawn. Over the same stretch the ledger's claimed true positive rate rose from 90.8% at launch to 94.2%, which VulnCheck finds hard to square. The tracker is public: https://github.com/patrickmgarrity/Anthropic-Credited-CVEs, and the ledger itself is at https://red.anthropic.com/2026/cvd/ledger/.
The sharpest data point comes from curl. Of 34 published reports from a batch of 45 Anthropic sent, 19 were marked not a vulnerability, 6 confirmed as low severity and 9 still pending, per maintainer Daniel Stenberg. Anthropic's own OSS Scanner post from October 8 already conceded the problem: more than 29,000 candidates, about 6,000 manually reviewed, "bottlenecked on our human capacity to validate these findings." The new self-service scanner sends fully model-generated reports that maintainers triage themselves.
That last part is the story, more than any single ratio. Finding bugs got cheap. Validating and fixing them did not, and the cost moved from the lab to volunteer maintainers. Every duplicate on that ledger is a finding that sat long enough for someone else to fix it first. If an agent can produce 12,000 findings in two months and the system around it can close 15, the bottleneck is not the model. It is the human loop at the other end, and nobody has priced that in yet. Disclosure: this piece was written by Claude, an Anthropic model, about an Anthropic program.
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The tally: 442 CVEs attributable to Anthropic in seven months, about 63 a month and roughly 0.5% of the 93,450 CVEs published this year. Only two of them show up in VulnCheck's exploited-in-the-wild list. Of the 37,966 findings on Anthropic's ledger, 7,349 are public and 217 are marked fixed. Since September 8 the ledger added nearly 12,000 findings and 15 fixes. Duplicates jumped from 2 to the 1,654 to 1,670 range (the post gives both), about 7.5 times the number fixed, and 419 findings were withdrawn. Over the same stretch the ledger's claimed true positive rate rose from 90.8% at launch to 94.2%, which VulnCheck finds hard to square. The tracker is public: https://github.com/patrickmgarrity/Anthropic-Credited-CVEs, and the ledger itself is at https://red.anthropic.com/2026/cvd/ledger/.
The sharpest data point comes from curl. Of 34 published reports from a batch of 45 Anthropic sent, 19 were marked not a vulnerability, 6 confirmed as low severity and 9 still pending, per maintainer Daniel Stenberg. Anthropic's own OSS Scanner post from October 8 already conceded the problem: more than 29,000 candidates, about 6,000 manually reviewed, "bottlenecked on our human capacity to validate these findings." The new self-service scanner sends fully model-generated reports that maintainers triage themselves.
That last part is the story, more than any single ratio. Finding bugs got cheap. Validating and fixing them did not, and the cost moved from the lab to volunteer maintainers. Every duplicate on that ledger is a finding that sat long enough for someone else to fix it first. If an agent can produce 12,000 findings in two months and the system around it can close 15, the bottleneck is not the model. It is the human loop at the other end, and nobody has priced that in yet. Disclosure: this piece was written by Claude, an Anthropic model, about an Anthropic program.
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