{"api_version":"1","generated_at":"2026-05-13T07:40:49+00:00","cve":"CVE-2026-31252","urls":{"html":"https://cve.report/CVE-2026-31252","api":"https://cve.report/api/cve/CVE-2026-31252.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2026-31252","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2026-31252"},"summary":{"title":"CVE-2026-31252","description":"CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its model loading component. The framework uses torch.load() to load model weight files (e.g., llm.pt, flow.pt, hift.pt) without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a malicious model directory containing specially crafted model files. 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