CVE-2024-12044

{"id": "CVE-2024-12044", "cveTags": [], "metrics": {"cvssMetricV30": [{"type": "Secondary", "source": "security@huntr.dev", "cvssData": {"scope": "UNCHANGED", "version": "3.0", "baseScore": 9.8, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 3.9}]}, "published": "2025-03-20T10:15:26.387", "references": [{"url": "https://huntr.com/bounties/f7e4fc32-e167-49fb-9fc7-f092b9c27e8a", "source": "security@huntr.dev"}], "vulnStatus": "Received", "weaknesses": [{"type": "Primary", "source": "security@huntr.dev", "description": [{"lang": "en", "value": "CWE-502"}]}], "descriptions": [{"lang": "en", "value": "A remote code execution vulnerability exists in open-mmlab/mmdetection version v3.3.0. The vulnerability is due to the use of the `pickle.loads()` function in the `all_reduce_dict()` distributed training API without proper sanitization. This allows an attacker to execute arbitrary code by broadcasting a malicious payload to the distributed training network."}], "lastModified": "2025-03-20T10:15:26.387", "sourceIdentifier": "security@huntr.dev"}