Reliance on Untrusted Inputs in a Security Decision Affecting govulncheck-vulndb package, versions <0.0.20250207T224745-150000.1.32.1
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-SLES156-GOVULNCHECKVULNDB-8715769
- published12 Feb 2025
- disclosed11 Feb 2025
Introduced: 11 Feb 2025
NewCVE-2025-24369 (opens in a new tab)How to fix?
Upgrade SLES:15.6 govulncheck-vulndb to version 0.0.20250207T224745-150000.1.32.1 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream govulncheck-vulndb package and not the govulncheck-vulndb package as distributed by SLES.
See How to fix? for SLES:15.6 relevant fixed versions and status.
Anubis is a tool that allows administrators to protect bots against AI scrapers through bot-checking heuristics and a proof-of-work challenge to discourage scraping from multiple IP addresses. Anubis allows attackers to bypass the bot protection by requesting a challenge, formulates any nonce (such as 42069), and then passes the challenge with difficulty zero. Commit e09d0226a628f04b1d80fd83bee777894a45cd02 fixes this behavior by not using a client-specified difficulty value.
References
- https://www.suse.com/security/cve/CVE-2025-24369.html
- https://github.com/Xe/x/commit/7bd7b209f4f1b897de85ec8973458dc8be606a8b
- https://github.com/Xe/x/commit/e09d0226a628f04b1d80fd83bee777894a45cd02
- https://github.com/Xe/x/security/advisories/GHSA-56w8-8ppj-2p4f
- https://xeiaso.net/notes/2025/GHSA-56w8-8ppj-2p4f