EUVD-2023-28102

Malicious code in bioql PyPI...

EUVD-2023-0833

Malicious code in bioql PyPI...

EUVD-2022-5214

Malicious code in bioql PyPI...

EUVD-2025-27175

Malicious code in bioql PyPI...

EUVD-2025-22540

Malicious code in bioql PyPI...

EUVD-2025-16191

Malicious code in bioql PyPI...

EUVD-2022-0155

Malicious code in bioql PyPI...

EUVD-2024-54438

Malicious code in bioql PyPI...

EUVD-2025-20217

Malicious code in bioql PyPI...

EUVD-2024-48501

Malicious code in bioql PyPI...

EUVD-2024-27744

Malicious code in bioql PyPI...

EUVD-2024-50971

Malicious code in bioql PyPI...

EUVD-2025-25177

Malicious code in bioql PyPI...

EUVD-2025-20969

Malicious code in bioql PyPI...

USN-7015-7: Python 2.7 regression

USN-7015-4 fixed vulnerabilities in Python. It was discovered that the fix for CVE-2023-27043 for python2.7 was incorrectly applied on Ubuntu 16.04 LTS and Ubuntu 18.04 LTS. This update fixes the problem. We apologize for the inconvenience. Original advisory details: It was discovered that the...

USN-7015-7 python2.7 regression

USN-7015-4 fixed vulnerabilities in Python. It was discovered that the fix for CVE-2023-27043 for python2.7 was incorrectly applied on Ubuntu 16.04 LTS and Ubuntu 18.04 LTS. This update fixes the problem. We apologize for the inconvenience. Original advisory details: It was discovered that the...

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...

A Practical Adversarial Attack against Sequence-Based Deep Learning Malware Classifiers

Sequence-based deep learning models e.g., RNNs, can detect malware by analyzing its behavioral sequences. Meanwhile, these models are susceptible to adversarial attacks. Attackers can create adversarial samples that alter the sequence characteristics of behavior sequences to deceive malware...

CVE-2025-58451

Cattown is a JavaScript markdown parser. Versions prior to 1.0.2 used regular expressions with inefficient, potentially exponential worst-case complexity. This could cause excessive CPU usage due to excessive backtracking on crafted inputs. In turn, the excessive CPU usage could lead to resource...

PT-2025-36518

Name of the Vulnerable Software and Affected Versions: Cattown versions prior to 1.0.2 Description: Cattown is a JavaScript markdown parser susceptible to denial of service. The parser utilizes regular expressions with inefficient complexity, potentially leading to exponential worst-case...