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

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

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

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...

PT-2026-30793

Name of the Vulnerable Software and Affected Versions HuggingFace Transformers versions prior to 5.0.0rc3 Description A flaw exists in the Trainer class within the HuggingFace Transformers library. The load rng state method, located in src/transformers/trainer.py at line 3059, utilizes torch.load...

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...

CVE-2026-1839: Deserialization of Untrusted Data

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...

Security Bulletin: Maximo AI Service uses multiple third party dependencies which is vulnerable to multiple CVEs.

Summary Maximo AI Service uses transformers-4.48.3-py3-none-any.whl, transformers-4.50.0-py3-none-any.whl, transformers-4.52.1-py3-none-any.whl, transformers-4.53.0-py3-none-any.whl, transformers-4.57.3-py3-none-any.whl, urllib3-1.26.19-py2.py3-none-any.whl, urllib3-2.1.0-py3-none-any.whl,...

The vulnerability in the Transformers/commands/chat.py script of the library allows a hacker to trigger a service failure.

The vulnerability in the Transformers/commands/chat.py library’s script is related to the use of a regular expression with inefficient computational complexity when processing the variable SETTINGRE. Exploiting this vulnerability could allow a malicious actor to cause service failures...

The vulnerability of the token2json() function in the Transformers library, which allows a hacker to trigger a service failure

The vulnerability of the token2json function in the Transformers library is related to the use of a regular expression with inefficient computational complexity. Exploiting this vulnerability could allow an attacker to cause service failures remotely...

The vulnerability of the get_configuration_file() function in the Transformers library allows a hacker to trigger a denial-of-service attack.

The vulnerability of the getconfigurationfile function in the Transformers library is related to the use of a regular expression with inefficient computational complexity. Exploiting this vulnerability could allow an attacker to cause a service failure remotely...

The vulnerability of the get_imports() function in the Transformers library allows a hacker to trigger a service failure.

The vulnerability of the getimports function in the Transformers library is related to the use of a regular expression with inefficient computational complexity. Exploiting this vulnerability could allow an attacker to cause service failures...

Security Bulletin: IBM Maximo Application Suite - Visual Inspection component uses transformers-4.57.3-py3-none-any.whl which is vulnerable to CVE-2025-14920, CVE-2025-14921, CVE-2025-14924, CVE-2025-14926, CVE-2025-14927, CVE-2025-14928, CVE-2025-14929.

Summary IBM Maximo Application Suite - Visual Inspection component uses transformers-4.57.3-py3-none-any.whl which is vulnerable to CVE-2025-14920, CVE-2025-14921, CVE-2025-14924, CVE-2025-14926, CVE-2025-14927, CVE-2025-14928, CVE-2025-14929.This bulletin contains information regarding the...

Security Bulletin: IBM Maximo Application Suite - Monitor Component uses transformers-4.53.0-py3-none-any.whl which is vulnerable to multiple CVEs.

Summary IBM Maximo Application Suite - Monitor Component uses transformers-4.53.0-py3-none-any.whl which is vulnerable to CVE-2025-14920, CVE-2025-14921, CVE-2025-14926, CVE-2025-14927, CVE-2025-14924, CVE-2025-14928, CVE-2025-14929, CVE-2025-14930. This bulletin contains information addressing t...

Arbitrary Remote Code Execution via `_attn_implementation_internal` Config Injection in transformers (No `trust_remote_code` Required)

Description A critical remote code execution vulnerability exists in the HuggingFace transformers library. An attacker can craft a malicious config.json containing the field attnimplementationinternal set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model usin...

LoRA-Based Parameter-Efficient LLMs for Continuous Learning in Edge-Based Malware Detection

The proliferation of edge devices has created an urgent need for security solutions capable of detecting malware in real time while operating under strict computational and memory constraints. Recently, Large Language Models LLMs have demonstrated remarkable capabilities in recognizing complex...

Deserialization of Untrusted Data

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the loadrngstate that uses unsafe torch.load function. An attacker can achieve an arbitrary code execution by...