5491 matches found
How Can We Effectively Use LLMs for Phishing Detection?: Evaluating the Effectiveness of Large Language Model-Based Phishing Detection Models
Large language models LLMs have emerged as a promising phishing detection mechanism, addressing the limitations of traditional deep learning-based detectors, including poor generalization to previously unseen websites and a lack of interpretability. However, LLMs' effectiveness for phishing...
PT-2025-46905
Name of the Vulnerable Software and Affected Versions GitLab EE versions 17.8 through 18.3.6 GitLab EE versions 18.4 through 18.4.4 GitLab EE versions 18.5 through 18.5.2 Description An authenticated attacker could potentially leak sensitive information from confidential issues. This is possible ...
Gitlab -- vulnerabilities
Gitlab reports: Cross-site scripting issue in k8s proxy impacts GitLab CE/EE Incorrect Authorization issue in workflows impacts GitLab EE Information Disclosure issue in GraphQL subscriptions impacts GitLab CE/EE Information Disclosure issue in access control impacts GitLab CE/EE Prompt Injection...
Prompt Injection in AI Browsers
This is why AIs are not ready to be personal assistants: A new attack called 'CometJacking' exploits URL parameters to pass to Perplexity's Comet AI browser hidden instructions that allow access to sensitive data from connected services, like email and calendar. In a realistic scenario, no...
New Browser Security Report Reveals Emerging Threats for Enterprises
According to the new Browser Security Report 2025 , security leaders are discovering that most identity, SaaS, and AI-related risks converge in a single place, the user's browser. Yet traditional controls like DLP, EDR, and SSE still operate one layer too low. What's emerging isn't just a...
Exploit for CVE-2025-64495
CVE-2025-64495-POC Open WebUI vulnerable to Stored DOM XSS via...
CVE-2025-64495
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. In versions 0.6.34 and below, the functionality that inserts custom prompts into the chat window is vulnerable to DOM XSS when 'Insert Prompt as Rich Text' is enabled, since the prompt body is...
DrAttack
DrAttack: Prompt Decomposition and Reconstruction Makes Powerf...
CVE-2025-64495
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. In versions 0.6.34 and below, the functionality that inserts custom prompts into the chat window is vulnerable to DOM XSS when 'Insert Prompt as Rich Text' is enabled, since the prompt body is...
CVE-2025-64495 Open WebUI vulnerable to Stored DOM XSS via prompts when 'Insert Prompt as Rich Text' is enabled resulting in ATO/RCE
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. In versions 0.6.34 and below, the functionality that inserts custom prompts into the chat window is vulnerable to DOM XSS when 'Insert Prompt as Rich Text' is enabled, since the prompt body is...
CVE-2025-64495
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. In versions 0.6.34 and below, the functionality that inserts custom prompts into the chat window is vulnerable to DOM XSS when 'Insert Prompt as Rich Text' is enabled, since the prompt body is...
CVE-2025-64495
Open WebUI (self-hosted offline AI platform) is affected by a Stored DOM XSS in RichTextInput when the “Insert Prompt as Rich Text” option is enabled. In versions 0.6.34 and earlier, the prompt body is parsed with marked.parse and then assigned to a temporary div’s innerHTML without sanitisation,...
CVE-2025-64495 Open WebUI vulnerable to Stored DOM XSS via prompts when 'Insert Prompt as Rich Text' is enabled resulting in ATO/RCE
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. In versions 0.6.34 and below, the functionality that inserts custom prompts into the chat window is vulnerable to DOM XSS when 'Insert Prompt as Rich Text' is enabled, since the prompt body is...
Injecting Falsehoods: Adversarial Man-In-The-Middle Attacks Undermining Factual Recall in LLMs
LLMs are now an integral part of information retrieval. As such, their role as question answering chatbots raises significant concerns due to their shown vulnerability to adversarial man-in-the-middle MitM attacks. Here, we propose the first principled attack evaluation on LLM factual memory unde...
RAG-Targeted Adversarial Attack on LLM-Based Threat Detection and Mitigation Framework
The rapid expansion of the Internet of Things IoT is reshaping communication and operational practices across industries, but it also broadens the attack surface and increases susceptibility to security breaches. Artificial Intelligence has become a valuable solution in securing IoT networks, wit...
Open WebUI 跨站脚本漏洞
Open WebUI is an extensible, feature-rich, user-friendly self-hosted WebUI from Open WebUI open source. A cross-site scripting vulnerability exists in Open WebUI version 0.6.34 and earlier, which stems from a failure to clean up the prompt body when assigning it to the DOM receiver innerHtml, whi...
CVE-2025-64495: Improper Neutralization of Input During Web Page Generation
Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. In versions 0.6.34 and below, the functionality that inserts custom prompts into the chat window is vulnerable to DOM XSS when 'Insert Prompt as Rich Text' is enabled, since the prompt body is...
GHSA-W7XJ-8FX7-WFCH Open WebUI vulnerable to Stored DOM XSS via prompts when 'Insert Prompt as Rich Text' is enabled resulting in ATO/RCE
Summary The functionality that inserts custom prompts into the chat window is vulnerable to DOM XSS when 'Insert Prompt as Rich Text' is enabled, since the prompt body is assigned to the DOM sink .innerHtml without sanitisation. Any user with permissions to create prompts can abuse this to plant ...
Cross-site Scripting (XSS)
Overview open-webui is an Open WebUI Affected versions of this package are vulnerable to Cross-site Scripting XSS via the replaceCommandWithText function, by allowing user-controlled HTML from a prompt body to be passed to tempDiv.innerHTML without proper sanitization. An attacker can execute...