UBUNTU-CVE-2025-50422

Cairo through 1.18.4, as used in Poppler through 25.08.0, has an "unscaled-face == NULL" assertion failure for cairoftunscaledfontfini in cairo-ft-font.c...

In-Context Learning of Vision Language Models for Detection of Physical and Digital Attacks against Face Recognition Systems

Recent advances in biometric systems have significantly improved the detection and prevention of fraudulent activities. However, as detection methods improve, attack techniques become increasingly sophisticated. Attacks on face recognition systems can be broadly divided into physical and digital...

Security update for MozillaThunderbird

This update for MozillaThunderbird fixes the following issues: Update to Mozilla Thunderbird 128.12 MFSA 2025-55, bsc1244670: CVE-2025-6424: Use-after-free in FontFaceSet bmo1966423 CVE-2025-6425: The WebCompat WebExtension shipped exposed a persistent UUID bmo1717672 CVE-2025-6426: No warning wh...

SUSE-SU-2025:02368-1 Security update for MozillaThunderbird

This update for MozillaThunderbird fixes the following issues: Update to Mozilla Thunderbird 128.12 MFSA 2025-55, bsc1244670: - CVE-2025-6424: Use-after-free in FontFaceSet bmo1966423 - CVE-2025-6425: The WebCompat WebExtension shipped exposed a persistent UUID bmo1717672 - CVE-2025-6426: No...

Security Bulletin: DataStage on Cloud Pak for Data has vulnerabilities due to transformers package (CVE-2024-11392, CVE-2024-11393, CVE-2024-11394)

Summary transformers is used by DataStage on Cloud Pak for Data as part of the model-definition framework. Vulnerability Details CVEID:CVE-2024-11392 DESCRIPTION: Hugging Face Transformers MobileViTV2 Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows...

Non-Adaptive Adversarial Face Generation

Adversarial attacks on face recognition systems FRSs pose serious security and privacy threats, especially when these systems are used for identity verification. In this paper, we propose a novel method for generating adversarial faces-synthetic facial images that are visually distinct yet...

IDFace: Face Template Protection for Efficient and Secure Identification

As face recognition systems FRS become more widely used, user privacy becomes more important. A key privacy issue in FRS is protecting the user's face template, as the characteristics of the user's face image can be recovered from the template. Although recent advances in cryptographic tools such...

FacialMotionID: Identifying Users of Mixed Reality Headsets Using Abstract Facial Motion Representations

Facial motion capture in mixed reality headsets enables real-time avatar animation, allowing users to convey non-verbal cues during virtual interactions. However, as facial motion data constitutes a behavioral biometric, its use raises novel privacy concerns. With mixed reality systems becoming...

From .pth to p0wned: Abuse of Pickle Files in AI Model Supply Chains

Executive summary Recent threat research highlights a growing risk in the Python and machine learning ML ecosystem: the exploitation of serialized model files, specifically those using Python’s pickle module. While commonly used for saving and loading ML models, pickle files can execute arbitrary...

PhreshPhish: a Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark

Phishing remains a pervasive and growing threat, inflicting heavy economic and reputational damage. While machine learning has been effective in real-time detection of phishing attacks, progress is hindered by lack of large, high-quality datasets and benchmarks. In addition to poor-quality due to...

Secure and Efficient UAV-Based Face Detection Via Homomorphic Encryption and Edge Computing

This paper aims to propose a novel machine learning ML approach incorporating Homomorphic Encryption HE to address privacy limitations in Unmanned Aerial Vehicles UAV-based face detection. Due to challenges related to distance, altitude, and face orientation, high-resolution imagery and...

Transformers is vulnerable to ReDoS attack through its DonutProcessor class

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's token2json method. This vulnerability affects versions 4.51.3 and earlier, and is fixed in version 4.52.1. The issue arises from the...

CVE-2025-3933

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's token2json method. This vulnerability affects versions 4.50.3 and earlier, and is fixed in version 4.52.1. The issue arises from the...

CVE-2025-3933 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's token2json method. This vulnerability affects versions 4.50.3 and earlier, and is fixed in version 4.52.1. The issue arises from the...

CVE-2025-3933

CVE-2025-3933 (Hugging Face Transformers) A ReDoS vulnerability exists in the DonutProcessor.token2json() implementation where the regex pattern (and a similar pattern in later mention) can cause catastrophic backtracking and high CPU usage. Affected: Transformers versions 4.50.3 and earlier. Im...

CVE-2025-3933 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's token2json method. This vulnerability affects versions 4.50.3 and earlier, and is fixed in version 4.52.1. The issue arises from the...

CVE-2025-3933 Regular Expression Denial of Service (ReDoS) in huggingface/transformers

A Regular Expression Denial of Service ReDoS vulnerability was discovered in the Hugging Face Transformers library, specifically within the DonutProcessor class's token2json method. This vulnerability affects versions 4.50.3 and earlier, and is fixed in version 4.52.1. The issue arises from the...

Hugging Face Transformers 安全漏洞

Hugging Face Transformers is Hugging Face's open source advanced natural language processing for Jax, PyTorch and TensorFlow. A security vulnerability exists in Hugging Face Transformers version 4.50.3 and earlier, which stems from a regular expression denial of service in the token2json method o...

Exploit for CVE-2024-3568

Exploitation of pickle deserialization vulnerabilities in Tran...

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...