247 matches found
CVE-2026-31252
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...
CVE-2026-31249
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its makeparquetlist.py data processing tool. The script loads PyTorch .pt files utterance embeddings, speaker embeddings, speech tokens using torch.load without...
CosyVoice 安全漏洞
CosyVoice is an open-source voice generation and AI voice cloning platform developed by FunAudioLLM. There was a security vulnerability in the previous version of CosyVoice. This vulnerability stemmed from the model loading component using torch.load to load model weight files without enabling th...
CVE-2026-31251
CVE-2026-31251 affects CosyVoice’s gRPC server component. During startup, the server loads the speech synthesis model from a user-specified directory via torch.load() without enabling the weights_only=True security parameter, enabling the pickle-based deserialization of arbitrary Python objects. ...
CVE-2026-31252
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...
CosyVoice 安全漏洞
CosyVoice is an open-source voice generation and AI voice cloning platform developed by FunAudioLLM. CosyVoice has a security vulnerability, which stems from the gRPC server component using torch.load to load the voice synthesis model without enabling the weights-only=True security parameter. Thi...
CVE-2026-31249
CosyVoice contains an insecure deserialization vulnerability (CWE-502) in its data processing tool make_parquet_list.py. The script loads PyTorch .pt files (utterance embeddings, speaker embeddings, speech tokens) with torch.load() without enabling weights_only=True, allowing the deserialization ...
CVE-2026-31253
The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 2025-13-04 contains an insecure deserialization vulnerability CWE-502 in its checkpoint loading mechanism. The loadcheckpoint function in checkpoint.py and the checkpoint loading code in eval.py use...
CVE-2026-31249
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its makeparquetlist.py data processing tool. The script loads PyTorch .pt files utterance embeddings, speaker embeddings, speech tokens using torch.load without...
FlashAttention 安全漏洞
FlashAttention is an efficient and memory-efficient attention mechanism implementation tool open-sourced by Dao AI Lab. There is a security vulnerability in FlashAttention, which stems from the checkpoint loading mechanism using torch.load to load checkpoint files without enabling the...
PT-2026-39637
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...
CVE-2026-31251
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its gRPC server component. When the server starts, it loads the speech synthesis model from a user-specified directory using torch.load without enabling the...
CosyVoice 安全漏洞
CosyVoice is an open-source voice generation and AI voice cloning platform developed by FunAudioLLM. CosyVoice has a security vulnerability. This vulnerability stems from the averagemodel.py model averaging tool, which loads checkpoint files using torch.load without enabling the weights-only=True...
CVE-2026-31250
CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e 2025-30-21 contains an insecure deserialization vulnerability CWE-502 in its averagemodel.py model averaging tool. The script loads PyTorch checkpoint files epoch.pt for model averaging using torch.load without enabling the...
CVE-2026-31252
CosyVoice Web UI vulnerability (CVE-2026-31252) arises from insecure deserialization (CWE-502) in the model loading component. The framework loads model weight files (e.g., llm.pt, flow.pt, hift.pt) with torch.load() without enabling weights_only=True, permitting arbitrary Python object deseriali...
openSUSE 16 Security Update : iproute2 (openSUSE-SU-2026:20696-1)
The remote openSUSE 16 host has packages installed that are affected by a vulnerability as referenced in the openSUSE- SU-2026:20696-1 advisory. Security issues fixed: - CVE-2024-58251: terminal lock up via ANSI terminal escape sequence set in argv0 bsc1254324. Other updates and bugfixes: - Fix...
CVE-2026-1839
A flaw was found in HuggingFace Transformers. A remote attacker can exploit this vulnerability by supplying a specially crafted checkpoint file e.g., rngstate.pth. The loadrngstate method in the Trainer class loads this file using torch.load without proper validation, specifically missing the...
Hugging Face Transformers 安全漏洞
Hugging Face Transformers is an open-source framework developed by Hugging Face for defining state-of-the-art machine learning models. It covers text, visual, audio, and multi-modal models, and can be used for both inference and training. There is a security vulnerability in Hugging Face...
Deserialization of Untrusted Data
Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the .pt2 Loading Handler. An attacker can execute arbitrary code or alter application behavior by providing...
Activation Surgery: Jailbreaking White-Box LLMs without Touching the Prompt
Most jailbreak techniques for Large Language Models LLMs primarily rely on prompt modifications, including paraphrasing, obfuscation, or conversational strategies. Meanwhile, abliteration techniques also known as targeted ablations of internal components have been used to study and explain LLM...