CVE-2026-31217

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{"affected": [{"affectedData": [{"product": "n/a", "vendor": "n/a", "versions": [{"status": "affected", "version": "n/a"}]}], "source": "cve@mitre.org"}], "configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:nebuly:optimate:2024-07-21:*:*:*:*:*:*:*", "matchCriteriaId": "DED8DBE6-D034-4B06-AA5D-8D199E54AD87", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) allows arbitrary code execution. When a user supplies a directory path via the --model command-line argument, the function reads a module.py file from that directory and executes its contents directly using Python's exec() function. This design does not validate or sanitize the file's content, allowing an attacker who controls the input directory to execute arbitrary Python code in the context of the process running the script."}, {"lang": "es", "value": "La funci\u00f3n _load_model() en el script neural_magic_training.py del proyecto optimate en el commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) permite la ejecuci\u00f3n de c\u00f3digo arbitrario. Cuando un usuario proporciona una ruta de directorio a trav\u00e9s del argumento de l\u00ednea de comandos --model, la funci\u00f3n lee un archivo module.py de ese directorio y ejecuta su contenido directamente utilizando la funci\u00f3n exec() de Python. Este dise\u00f1o no valida ni sanitiza el contenido del archivo, permitiendo a un atacante que controla el directorio de entrada ejecutar c\u00f3digo Python arbitrario en el contexto del proceso que ejecuta el script."}], "id": "CVE-2026-31217", "lastModified": "2026-10-19T22:10:00.130", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.8, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 3.9, "impactScore": 5.9, "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-31217", "options": [{"exploitation": "none"}, {"automatable": "yes"}, {"technicalImpact": "total"}], "role": "CISA Coordinator", "timestamp": "2026-05-13T14:01:18.035202Z", "version": "2.0.3"}}]}, "published": "2026-05-12T16:16:13.600", "references": [{"source": "cve@mitre.org", "tags": ["Product"], "url": "https://github.com/nebuly-ai/optimate"}, {"source": "cve@mitre.org", "tags": ["Mitigation", "Third Party Advisory"], "url": "https://www.notion.so/CVE-2026-31217-35d1e13931888179ae40dea5258d2db9"}], "sourceIdentifier": "cve@mitre.org", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-94"}], "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "type": "Secondary"}]}

{}

{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": null}], "enrichment": {"confidence": 95.0, "confidence_source": "inferred", "scores": [{"score": 95.0, "source": "inferred"}]}, "original": {"product": "n/a", "source": "cna", "vendor": "n/a"}, "product": "optimate", "vendor": "nebuly-ai"}], "created": "2026-05-12T18:00:12.684292+00:00", "updated": "2026-05-17T19:42:30.400664+00:00", "vendors": ["nebuly-ai", "nebuly-ai$PRODUCT$optimate"]}