AI Sec Watch

A ReDoS (regular expression denial of service, where carefully designed text input causes a regex pattern to consume excessive CPU) vulnerability was found in the Hugging Face Transformers library's DonutProcessor class, affecting versions 4.50.3 and earlier. The vulnerable regex pattern can be exploited through crafted input strings to cause the system to slow down or crash, disrupting document processing tasks that use the Donut model.

A WordPress plugin called 'Photos, Files, YouTube, Twitter, Instagram, TikTok, Ecommerce Contest Gallery' has a vulnerability called Stored Cross-Site Scripting (XSS, where an attacker can hide malicious code in a webpage that runs when others view it) in versions up to 26.0.8. Attackers with Author-level permissions or higher can inject harmful scripts through the upload title field because the plugin doesn't properly clean and secure user input.

CVE-2025-7021 is a vulnerability in OpenAI Operator SaaS on Web where an attacker can trick users into entering sensitive information like login credentials by creating a fake fullscreen interface that mimics browser controls and hides security warnings. The attacker overlays distracting elements (such as a fake cookie consent screen) to obscure notifications and deceive users into interacting with the malicious site. This vulnerability has a CVSS score of 6.9 (MEDIUM severity).

Google is automatically enabling its Gemini AI to access third-party apps like WhatsApp on Android devices, overriding previous user settings that blocked such access. Users who want to prevent this must take action, though Google's guidance on how to fully disable Gemini integrations is unclear and confusing, with the company stating that even when Gemini access is blocked, data is still stored for 72 hours.

Roo Code is an AI tool that can write code automatically. Before version 3.22.6, if a user had auto-approved write permissions, an attacker could send prompts to the agent that would modify VS Code settings files (configuration files that control how the editor works) and run malicious code on the user's computer. For example, an attacker could change a PHP validation setting to point to a harmful command, then create a PHP file to execute it.

Hugging Face Transformers versions up to 4.49.0 have a vulnerability in the `image_utils.py` file where URL validation (checking if a URL starts with certain text) can be tricked through URL username injection (adding fake credentials to a URL). Attackers can create fake URLs that look like they're from YouTube but actually point to malicious sites, risking phishing attacks, malware, or stolen data.

A ReDoS vulnerability (regular expression denial of service, where specially crafted text causes a regex pattern to consume excessive CPU) was found in Hugging Face Transformers library version 4.49.0, specifically in code that filters Python try/except blocks. Attackers could exploit this to crash or slow down systems using the library, potentially disrupting model serving or supply chain processes.

A ReDoS vulnerability (regular expression denial of service, where specially crafted input causes a program to use excessive CPU by making the regex engine work inefficiently) was found in the Hugging Face Transformers library version 4.49.0, specifically in a function that reads configuration files. An attacker could send malicious input to make the application slow down or crash by exhausting its computing resources.

A ReDoS vulnerability (regular expression denial of service, where inefficient pattern matching causes a system to slow down or crash) was found in the Hugging Face Transformers library version 4.49.0. The problem is in a regex pattern called `SETTING_RE` that uses inefficient repetition, causing it to take exponentially longer when processing specially crafted input strings, which can make the application unresponsive or crash.