CVE-2026-61484
9.8 CRITICALPublished 2026-08-05 · Updated 2026-08-06
AI risk analysis
- Summary
- The flaw is a deserialization vulnerability in Apache Lucy, allowing attackers to execute arbitrary code. This matters because it can lead to complete system compromise.
- Exploitability
- Exploitation is relatively easy given the deserialization vulnerability, requiring only that untrusted data be processed.
- Blast radius
- If exploited, this could result in complete system compromise and data loss.
- Detection
- No reliable host or network indicator is derivable from the published description.
- Prioritized remediation
- Disable the affected feature or restrict access to the instance to trusted users.
Analysis generated locally by qwen2.5:7b-instruct (no data left the box). AI-assisted — verify against primary sources before acting.
NVD description
** UNSUPPORTED WHEN ASSIGNED ** Deserialization of Untrusted Data vulnerability in Apache Lucy. This issue affects Apache Lucy: all versions. As this project is retired, we do not plan to release a version that fixes this issue. Users are recommended to find an alternative or restrict access to the instance to trusted users. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weaknesses
CWE-502
Vendors
apache
Products
lucy
All references
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
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