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{}

{"acknowledgement": "Red Hat would like to thank Jiasheng Jiang for reporting this issue.", "bugzilla": {"description": "FFmpeg: Double-Free Vulnerability in FFmpeg TensorFlow DNN Backend", "id": "2406533", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2406533"}, "csaw": false, "cvss3": {"cvss3_base_score": "3.3", "cvss3_scoring_vector": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L", "status": "draft"}, "cwe": "CWE-415", "details": ["A flaw was found in FFmpeg\u2019s TensorFlow backend within the libavfilter/dnn_backend_tf.c source file. The issue occurs in the dnn_execute_model_tf() function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free condition, potentially causing FFmpeg or any application using it to crash when processing TensorFlow-based DNN models. This results in a denial-of-service scenario but does not allow arbitrary code execution under normal conditions."], "mitigation": {"lang": "en:us", "value": "Mitigation for this issue is either not available or the currently available options don't meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability."}, "name": "CVE-2025-12343", "public_date": "2025-10-27T00:00:00Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-12343\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-12343"], "statement": "The Red Hat Product Security team has assessed the severity of this vulnerability as Medium, as it can cause application crashes and denial of service but cannot be exploited for arbitrary code execution in normal configurations.", "threat_severity": "Moderate"}