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VulnerabilityPublished

CVE-2025-12345: LLM-Claw · Buffer Overflow

Affects LLM-ClawSource CVE Database V5

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Public exploit available · CVSS 8.7 High.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 4.0 base score
8.7High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 52% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 3 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: evidence found.

    CVSS exploit maturity: proof of concept public

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), CVSS vector, the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
LLM-ClawAffected
  • 0.1.0 – 0.1.1a-p1
4 affected builds
Fixed in–
GitHubLLM-Clawpkg:github/LLM-ClawOther threatsAffected
  • =0.1.0
  • =0.1.1
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

  1. Apply official patches from the LLM-Claw vendor immediately once available to remediate the buffer overflow in agent_deploy_init.
  2. Until patches are released, restrict network access to the Agent Deployment service using firewalls or network segmentation to limit exposure.
  3. Implement strict input validation and boundary checks on data sent to the agent_deploy_init function if custom modifications are possible.
  4. Monitor logs and network traffic for unusual activity related to agent deployment processes, including unexpected remote connections or crashes.
  5. Employ intrusion detection/prevention systems (IDS/IPS) with signatures or heuristics targeting buffer overflow attempts against LLM-Claw.
  6. Conduct regular security assessments and code reviews of LLM-Claw deployments to identify and mitigate similar vulnerabilities proactively.
  7. Educate development and operations teams on secure coding practices and the importance of timely patch management in AI-related software.
  8. Maintain up-to-date backups and incident response plans to minimize damage in case of exploitation.

Description

A security vulnerability has been detected in LLM-Claw 0.1.0/0.1.1/0.1.1a/0.1.1a-p1. The affected element is the function agent_deploy_init of the file /agents/deploy/initiate.c of the component Agent Deployment. Such manipulation leads to buffer overflow. It is possible to launch the attack remotely. A patch should be applied to remediate this issue.

References

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