| शीर्षक | lm-sys FastChat ≤ 0.2.36（“up to 0.2.36”） Deserialization of Untrusted Data;Improper Input Validation |
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| विवरण | A deserialization vulnerability exists in fastchat/model/apply_delta.py (functions split_files / apply_delta_low_cpu_mem) in FastChat ≤ 0.2.36. In our controlled tests, exploitation led to modification of model inference behavior (altered logits), and in multi-process environments persisted weight files were modified such that other processes observed integrity changes (Scope: Changed). The reported observations were performed in a controlled environment and are documented in a private demonstration video. No PoC is published publicly; encrypted evidence can be provided to CNA/NVD on request. |
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| स्रोत | ⚠️ Advisories: nvd.nist.gov/vuln/detail/CVE-2025-3677; github.com/lm-sys/FastChat/issues/3713. Exploit: no public PoC; private video on request. |
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| उपयोगकर्ता | Tianrui Song (UID 92554) |
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| सबमिशन | 12/11/2025 07:22 AM (11 महीनों पहले) |
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| संयम | 16/11/2025 05:04 PM (4 days later) |
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| स्थिति | प्रतिलिपि |
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| VulDB प्रविष्टि | 304966 [lm-sys fastchat तक 0.2.36 apply_delta.py split_files/apply_delta_low_cpu_mem अधिकार वृद्धि] |
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| अंक | 0 |
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