EUVD-2022-34117

Malicious code in bioql PyPI...

EUVD-2022-34112

Malicious code in bioql PyPI...

EUVD-2025-30889

Malicious code in bioql PyPI...

EUVD-2025-11671

Malicious code in bioql PyPI...

EUVD-2022-6940

Malicious code in bioql PyPI...

EUVD-2022-27408

Malicious code in bioql PyPI...

Quant Fever, Reasoning Blackholes, Schrodinger'S Compliance, and More: Probing GPT-OSS-20B

OpenAI's GPT-OSS family provides open-weight language models with explicit chain-of-thought CoT reasoning and a Harmony prompt format. We summarize an extensive security evaluation of GPT-OSS-20B that probes the model's behavior under different adversarial conditions. Using the Jailbreak Oracle J...

SUSE CVE-2025-6921

The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...

GHSA-4W7R-H757-3R74 Hugging Face Transformers vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer

The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...

Regular Expression Denial of Service (ReDoS)

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Regular Expression Denial of Service ReDoS via the douseweightdecay function. An attacker can cause excessive CPU consumption and make services...

Hugging Face Transformers vulnerable to Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer

The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...

CVE-2025-6921

The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...

CVE-2025-6921 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...

CVE-2025-6921 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service ReDoS in the AdamWeightDecay optimizer. The vulnerability arises from the douseweightdecay method, which processes user-controlled regular expressions in the includeinweightdecay...

CVE-2025-6921

CVE-2025-6921 affects the huggingface/transformers library prior to 4.53.0, causing a Regular Expression Denial of Service (ReDoS) in the AdamWeightDecay optimizer via unsafe handling in _do_use_weight_decay of include_in_weight_decay/exclude_from_weight_decay. IBM Maximo Application Suite Monito...

Defending against Stegomalware in Deep Neural Networks with Permutation Symmetry

Deep neural networks are being utilized in a growing number of applications, both in production systems and for personal use. Network checkpoints are as a consequence often shared and distributed on various platforms to ease the development process. This work considers the threat of neural networ...

transformers 资源管理错误漏洞

transformers is a Hugging Face open source application for machine learning. A resource management error vulnerability exists in transformers versions prior to 4.53.0, which stems from a flaw in the douseweightdecay method's handling of user-controlled regular expressions, which could lead to a...

Regular Expression Denial Of Service (ReDoS)

Hugging Face Transformers is vulnerable to Regular Expression Denial of Service ReDoS. The vulnerability is due to the use of a regex pattern /^/^// in the converttfweightnametoptweightname function, which allows attackers to craft malicious input strings causing catastrophic backtracking and...

Weight loss scams, or why ‘Jodie Foster’ wants me to lose weight

It seems like it's hard to move on social media without some kind of mention of weight-loss injections these days. And, sure, these drugs can have a positive affect for many people, but not all these cases of weight loss are real, nor are the people promoting them who they say they are. Weight-lo...

Regular Expression Denial of Service (ReDoS)

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Regular Expression Denial of Service ReDoS via the converttfweightnametoptweightname function. An attacker can cause excessive CPU consumption and disru...