367 matches found
PYSEC-2026-2288
A vulnerability in the HuggingFace Transformers library, specifically in the Trainer class, allows for arbitrary code execution. The loadrngstate method in src/transformers/trainer.py at line 3059 calls torch.load without the weightsonly=True parameter. This issue affects all versions of the...
CVE-2026-1839
CVE-2026-1839 concerns the HuggingFace Transformers library, affecting the Trainer class. The root cause is an unsafe load in src/transformers/trainer.py: _load_rng_state() calls torch.load() without weights_only=True, which can allow arbitrary code execution when loading a malicious checkpoint (...
CVE-2026-1839 Arbitrary Code Execution via Unsafe torch.load() in Trainer Checkpoint Loading in huggingface/transformers
A vulnerability in the HuggingFace Transformers library, specifically in the Trainer class, allows for arbitrary code execution. The loadrngstate method in src/transformers/trainer.py at line 3059 calls torch.load without the weightsonly=True parameter. This issue affects all versions of the...
CVE-2026-1839 Arbitrary Code Execution via Unsafe torch.load() in Trainer Checkpoint Loading in huggingface/transformers
A vulnerability in the HuggingFace Transformers library, specifically in the Trainer class, allows for arbitrary code execution. The loadrngstate method in src/transformers/trainer.py at line 3059 calls torch.load without the weightsonly=True parameter. This issue affects all versions of the...
CVE-2026-1839
A vulnerability in the HuggingFace Transformers library, specifically in the Trainer class, allows for arbitrary code execution. The loadrngstate method in src/transformers/trainer.py at line 3059 calls torch.load without the weightsonly=True parameter. This issue affects all versions of the...
CVE-2026-1839 Arbitrary Code Execution via Unsafe torch.load() in Trainer Checkpoint Loading in huggingface/transformers
A vulnerability in the HuggingFace Transformers library, specifically in the Trainer class, allows for arbitrary code execution. The loadrngstate method in src/transformers/trainer.py at line 3059 calls torch.load without the weightsonly=True parameter. This issue affects all versions of 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...
Security Bulletin: IBM Maximo Application Suite - Maximo AI Service uses multiple third party dependencies which are vulnerable to multiple CVEs.
Summary IBM Maximo Application Suite - Maximo AI Service uses "torch-2.9.1-cp311-cp311-manylinux228x8664.whl, keras-3.12.0-py3-none-any.whl, hibernate-core-6.6.36.Final.jar" dependencies which are vulnerable to "CVE-2025-2998, CVE-2025-2999, CVE-2025-55552, CVE-2025-63396, CVE-2026-0897,...
The vulnerability of the weightsOnly parameter in the torch.load() function of the PyTorch machine learning framework allows a hacker to execute arbitrary code.
The vulnerability of the weightsOnly parameter in the torch.load function of the PyTorch machine learning framework is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability could allow a malicious actor to execute arbitrary code remotely...
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 via the loadstatedict function, used during unpickling. An attacker can corrupt heap memory by convincing a user to...
Arbitrary Code Execution via Unsafe torch.load() in Trainer Checkpoint Loading
Summary A critical arbitrary code execution vulnerability exists in HuggingFace Transformers' Trainer class. The loadrngstate method at src/transformers/trainer.py:3059 calls torch.load without the weightsonly=True parameter. While a safeglobals context manager wraps this call, it provides no...
CVE-2025-67729
LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute...
CVE-2025-67729
LMDeploy prior to v0.11.1 is affected by an insecure deserialization vulnerability in torch.load() called without weights_only=True when loading model checkpoint files (.bin/.pt). This can allow an attacker to execute arbitrary code on the victim's machine. The issue is patched in v0.11.1. Affect...
CVE-2025-67729 lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()
LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute...
CVE-2025-67729 lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load()
LMDeploy is a toolkit for compressing, deploying, and serving LLMs. Prior to version 0.11.1, an insecure deserialization vulnerability exists in lmdeploy where torch.load is called without the weightsonly=True parameter when loading model checkpoint files. This allows an attacker to execute...
EUVD-2025-205455
lmdeploy vulnerable to Arbitrary Code Execution via Insecure Deserialization in torch.load...
Deserialization of Untrusted Data
Overview Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the torch.load function. An attacker can execute arbitrary code by providing a specially crafted model file that is loaded without proper security parameters. Details Serialization is a process of...
PT-2025-53604
Name of the Vulnerable Software and Affected Versions LMDeploy versions prior to 0.11.1 Description LMDeploy is a toolkit used for compressing, deploying, and serving LLMs. A flaw exists where the torch.load function is called without the weights only=True parameter when loading model checkpoint...
