PatchSiren cyber security CVE debrief
CVE-2026-67991 crmne CVE debrief
AI-assisted PatchSiren debrief based on the supplied source corpus. The CVE record was published on 2026-08-13T14:17:11.717Z and has not been modified since then. The crmne/ruby_llm repository at commit fa6f279847d6d7027814539d9c0dfc3bbdfd2a83 contains a polynomial-time regular expression denial-of-service condition in RubyLLM::Utils.underscore on Ruby 3.1.x. A very long crafted class, agent, or tool name can cause excessive CPU consumption and a denial of service. This condition can be mitigated by reviewing and applying vendor patches or updates for crmne/ruby_llm, implementing compensating controls such as input validation and rate limiting, and monitoring systems for excessive CPU consumption and denial-of-service conditions. Users of crmne/ruby_llm, especially those using Ruby 3.1.x, should be aware of this vulnerability and take necessary precautions to mitigate potential attacks.
- Vendor
- crmne
- Product
- ruby_llm
- CVSS
- HIGH 7.5
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-13
- Original CVE updated
- 2026-09-04
- Advisory published
- 2026-08-13
- Advisory updated
- 2026-09-04
Who should care
Users of crmne/ruby_llm, especially those using Ruby 3.1.x, should be aware of this vulnerability and take necessary precautions to mitigate potential attacks. This includes reviewing and applying vendor patches or updates, implementing compensating controls, monitoring systems, and performing inventory checks to identify potentially affected systems. Security teams and operators should prioritize this vulnerability due to its HIGH CVSS severity score of 7.5 and potential for denial-of-service conditions.
Technical summary
The crmne/ruby_llm repository at commit fa6f279847d6d7027814539d9c0dfc3bbdfd2a83 contains a polynomial-time regular expression denial-of-service condition in RubyLLM::Utils.underscore on Ruby 3.1.x. A very long crafted class, agent, or tool name can cause excessive CPU consumption and a denial of service. This condition can be mitigated by reviewing and applying vendor patches or updates for crmne/ruby_llm, implementing compensating controls such as input validation and rate limiting, and monitoring systems for excessive CPU consumption and denial-of-service conditions.
Defensive priority
High-priority defensive actions are recommended due to the HIGH CVSS severity score of 7.5 for this vulnerability.
Recommended defensive actions
- Review and apply vendor patches or updates for crmne/ruby_llm.
- Implement compensating controls, such as input validation and rate limiting, to mitigate potential attacks.
- Monitor systems for excessive CPU consumption and denial-of-service conditions.
- Perform inventory checks to identify potentially affected systems.
- Exception tracking and retesting should be conducted after applying patches or mitigations.
Evidence notes
Evidence from the NVD and CVE Program records indicates a polynomial-time regular expression denial-of-service condition exists in crmne/ruby_llm at commit fa6f279847d6d7027814539d9c0dfc3bbdfd2a83. Further review is needed to fully understand the vulnerability's impact and validate vendor remediation. Additional context suggests that users of crmne/ruby_llm, especially those using Ruby 3.1.x, should be aware of this vulnerability and take necessary precautions to mitigate potential attacks. The vulnerability allows for excessive CPU consumption and a denial of service through a very long crafted class, agent, or tool name.
Sources and references
Verified primary and authoritative sources
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CVE-2026-67991 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-67991
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-67991 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-67991
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
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Source reference
Unverified legacy reference
URL: https://gist.github.com/Zykis1024/9f2d68fa3fd4e3a0ab83063bbe61a8e2
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Source reference
Unverified legacy reference
URL: https://github.com/crmne/ruby_llm
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Source reference
Unverified legacy reference
URL: https://github.com/crmne/ruby_llm/blob/fa6f279847d6d7027814539d9c0dfc3bbdfd2a83/lib/ruby_llm/utils.rb
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Source reference
Unverified legacy reference
URL: https://github.com/crmne/ruby_llm/commit/9d75b033d7d00c4e1baa9b0afb4828faa8bd6602
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.