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VulnerabilityPublished Updated

CVE-2026-31217: optimate · CVE-2026-31217 is a critical arbitrary code execution

Affects optimateSource CVE Database V5

0

Not known to be exploited · CVSS 9.8 Critical.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 3.1 base score
9.8Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 36% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 12 May 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  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), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
GitHubnebuly-ai/optimatepkg:github/nebuly-ai/optimateOther threatsAffected
  • *
Fixed in–

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

AI-suggested

Until an official fix is available, avoid running the vulnerable script with untrusted input for the --model argument. Restrict access to the environment where the script runs to trusted users only and validate or sanitize input paths if possible to prevent supplying malicious directories.

Description

CVE-2026-31217 is a critical arbitrary code execution vulnerability in the optimate project's neural_magic_training.py script. The vulnerability arises because the _load_model() function executes the contents of a module.py file from a user-supplied directory without validation or sanitization. This allows an attacker controlling the input directory to run arbitrary Python code in the context of the running process. The vulnerability has a CVSS score of 9.8, indicating a high impact on confidentiality, integrity, and availability. No official patch or remediation guidance is currently available, and no known exploits have been reported in the wild.

References

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