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Anthropic's vulnerability dashboard shows data discrepancies, raising review questions

An analysis of Anthropic's vulnerability disclosure dashboard reveals significant discrepancies between reported fixed findings and the actual numbers logged across various ledgers. The author questions whether AI assistance in reviewing these findings has led to under-reporting or inaccuracies, noting that the ledger's update frequency and reveal dates do not always align with the data presented. Despite these inconsistencies, the author acknowledges the value of AI tools like Claude in accelerating bug and vulnerability discovery in software. AI

IMPACT Highlights potential issues with AI-assisted vulnerability reporting and the need for robust human review.

RANK_REASON Analysis of a company's public data with discrepancies, questioning their reporting methods.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Anthropic's vulnerability dashboard shows data discrepancies, raising review questions

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Signal score
0 / 100
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Newsworthiness bucket
Commentary
Analysis of a company's public data with discrepancies, questioning their reporting methods.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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safety, other
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AI-industry relevance
High
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Same-day
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    "Anthropic’s own dashboard states 421 findings patched upstream, resulting in 462 advisories (GHSA/CVEs assigned); however, the ledger itself shows only 202 fix

    "Anthropic’s own dashboard states 421 findings patched upstream, resulting in 462 advisories (GHSA/CVEs assigned); however, the ledger itself shows only 202 fixed findings. If we look at the GHSA ledger, CVE ledger, and main ledger (yes, there are three), the numbers also don’t a…