Security Bulletin: IBM Maximo Application Suite - Visual Inspection component uses transformers which is vulnerable to CVE-2026-1839,CVE-2025-14920, CVE-2026-4372

Summary IBM Maximo Application Suite - Visual Inspection component uses transformers which is vulnerable to CVE-2026-1839,CVE-2025-14920,CVE-2026-4372. This bulletin contains information regarding the vulnerability and its remediation. Vulnerability Details CVEID:CVE-2025-14920 DESCRIPTION: Huggi...

PYSEC-2026-1979 Transformers vulnerable to ReDoS attack through its SETTING_RE variable

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the huggingface/transformers repository, specifically in version 4.49.0. The vulnerability is due to inefficient regular expression complexity in the SETTINGRE variable within the transformers/commands/chat.py file. The...

PYSEC-2026-1985 Transformers vulnerable to ReDoS attack through its get_imports() function

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically in the getimports function within dynamicmoduleutils.py. This vulnerability affects versions 4.49.0 and is fixed in version 4.51.0. The issue arises from a regular...

PYSEC-2026-1982 Transformers Regular Expression Denial of Service (ReDoS) vulnerability

A Regular Expression Denial of Service ReDoS vulnerability was identified in the huggingface/transformers library, specifically in the file tokenizationnougatfast.py. The vulnerability occurs in the postprocesssingle function, where a regular expression processes specially crafted input. The issu...

Transformers Deserialization of Untrusted Data vulnerability

The huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data within the loadrepocheckpoint function of the TFPreTrainedModel class. Attackers can execute arbitrary code and commands by crafting a malicious serialized payload, exploiting...

PYSEC-2026-2290

A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an attacker-controlled model repository to execute arbitrary code during model initialization. The issue arises because the trustremotecode parameter, intended to prevent remote code execution, is...

Unsafe Dependency Resolution

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Unsafe Dependency Resolution in the model initialization process when the trustremotecode parameter is overridden by untrusted configuration data. An...

CVE-2026-4372 Arbitrary Remote Code Execution via `_attn_implementation_internal` Config Injection in huggingface/transformers

A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious config.json file containing the attnimplementationinternal field set to an attacker-controlled HuggingFac...

PT-2026-42943

Name of the Vulnerable Software and Affected Versions HuggingFace transformers versions prior to 5.3.0 Description A critical remote code execution issue exists where an attacker can craft a malicious config.json file. By setting the attn implementation internal field to a repository ID controlle...

Security Bulletin: DataStage on Cloud Pak for Data is vulnerable to regular expression denial of service (ReDoS) due to the transformers package (CVE-2025-2099)

Summary The transformers package is used by DataStage on Cloud Pak for Data as part of machine learning processing. Vulnerability Details CVEID:CVE-2025-2099 DESCRIPTION: A vulnerability in the preprocessstring function of the transformers.testingutils module in huggingface/transformers version...

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...

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...

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...

Security Bulletin: IBM Maximo Application Suite - Monitor Component uses transformers-4.51.3-py3-none-any.whl which is vulnerable to CVE-2025-6638 and CVE-2025-3777.

Summary IBM Maximo Application Suite - Monitor Component uses transformers-4.51.3-py3-none-any.whl which is vulnerable to CVE-2025-6638 and CVE-2025-3777. This bulletin contains information addressing the vulnerability. Vulnerability Details CVEID:CVE-2025-6638 DESCRIPTION: A Regular Expression...

Arbitrary Code Injection

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Arbitrary Code Injection via the convertconfig function. An attacker can execute arbitrary code by supplying a malicious checkpoint file that is process...

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 parsing process of model files. An attacker can execute arbitrary code in the context of the current user by...

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 in the parsing of checkpoints. An attacker can achieve arbitrary code execution by tricking a user into opening a...

Security Bulletin: IBM Maximo Application Suite - Monitor Component uses transformers-4.51.3-py3-none-any.whl which is vulnerable to CVE-2025-6921.

Summary IBM Maximo Application Suite - Monitor Component uses transformers-4.51.3-py3-none-any.whl which is vulnerable to CVE-2025-6921. This bulletin contains information addressing the vulnerability. Vulnerability Details CVEID:CVE-2025-6921 DESCRIPTION: The huggingface/transformers library,...

Security Bulletin: IBM Maximo Application Suite - Monitor Component uses transformers-4.51.3-py3-none-any.whl which is vulnerable to CVE-2025-3933.

Summary IBM Maximo Application Suite - Monitor Component uses transformers-4.51.3-py3-none-any.whl which is vulnerable to CVE-2025-3933. This bulletin contains information regarding the vulnerability and its fixture. Vulnerability Details CVEID:CVE-2025-3933 DESCRIPTION: A Regular Expression Deni...

Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in transformers-4.48.3-py3-none-any.whl

Summary Security Bulletin: IBM watsonx Orchestrate Developer Edition affected by vulnerability in transformers-4.48.3-py3-none-any.whl Vulnerability Details CVEID:CVE-2025-2099 DESCRIPTION: A vulnerability in the preprocessstring function of the transformers.testingutils module in...