MAL-2026-5590 Malicious code in 0x2ai-demo3 (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector a36d5f023e4740169d1e1e7a56ebe32552cfdc4a05bf50ecc0b648ecea502c0d On npm install, scripts/postinstall.cjs copies the entire payload/ tree into process.env.INITCWD the directory the developer ran the install from usi...

MAL-2026-5596 Malicious code in 0x2ai-demo8x (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector f6d1ce2d7b8faa5bde122eb2bc6e0a79fec5f5720cfa7de0718a0c8948b344d6 On npm install, scripts/postinstall.cjs copies the package's payload/ tree into INITCWD the consumer's project root using fs.cpSync,...

Malicious code in ranno (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector a1366783d9cb87471f1b5cfeb806508ee83b2a58ded724f8ea45d8391f4f68bc The package's advertised API ex calls gn in ranno/gn.py, which POSTs the caller's prompt — and, when a data= argument is supplied, the absolute file...

Malicious code in qazaq-cli (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 31fa15731b4c683297d550bb3157dff08f2bfa3db01c14952cd35c7c61407d0a The package's default AI provider hardcodes the destination opengateway.gitlawb.com/v1/chat/completions with header api-key: 'not-needed'...

CVE-2026-45387 Open WebUI: Sharing models for others to use (read permission) also exposes model details (system prompt leakage)

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.5, when setting model permissions so that a group has read access to it, intending for other users to use it, those users also can read the model's system prompt. However users may...

CVE-2026-45387 Open WebUI: Sharing models for others to use (read permission) also exposes model details (system prompt leakage)

Open WebUI is a self-hosted artificial intelligence platform designed to operate entirely offline. Prior to 0.9.5, when setting model permissions so that a group has read access to it, intending for other users to use it, those users also can read the model's system prompt. However users may...

Open WebUI: Sharing models for others to use (read permission) also exposes model details (system prompt leakage)

Summary When setting model permissions so that a group has read access to it, intending for other users to use it, those users also can read the model's system prompt. However users may consider their system prompt confidential, so we consider this a security issue. Compare...

GHSA-H2CW-7QW9-56XR Open WebUI: Sharing models for others to use (read permission) also exposes model details (system prompt leakage)

Summary When setting model permissions so that a group has read access to it, intending for other users to use it, those users also can read the model's system prompt. However users may consider their system prompt confidential, so we consider this a security issue. Compare...

GHSA-JH9G-8JQW-M2QX Open WebUI Exposes System Prompt to Regular User [Non-Admin]

Summary A regular user non-admin can view the system prompt of the model which is set by an admin. Details When a regular user non-admin logs into the application, a http://IP:8080/api/models? web request is initiated by the application and in response, it reveals the system prompt of available...

Open WebUI Exposes System Prompt to Regular User [Non-Admin]

Summary A regular user non-admin can view the system prompt of the model which is set by an admin. Details When a regular user non-admin logs into the application, a http://IP:8080/api/models? web request is initiated by the application and in response, it reveals the system prompt of available...

PT-2026-41189

Name of the Vulnerable Software and Affected Versions Open WebUI versions prior to 0.9.5 Description An issue exists in the self-hosted artificial intelligence platform where users can access the system prompt of a model they do not own if a group has been granted read access. This allows for...

PT-2026-41181

Name of the Vulnerable Software and Affected Versions Open WebUI versions prior to 0.8.9 Description When a non-administrative user logs into the application, a web request to the '/api/models?' endpoint is initiated. The response from this request reveals the system prompts of available models...

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts

The deployment of large language models LLMs in Swiss financial and regulatory contexts demands empirical evidence of both production reliability and adversarial security, dimensions not jointly operationalized in existing Swiss-focused evaluation frameworks. This paper introduces Swiss-Bench 003...

QueryIPI: Query-Agnostic Indirect Prompt Injection on Coding Agents

Modern coding agents integrated into IDEs combine powerful tools and system-level actions, exposing a high-stakes attack surface. Existing Indirect Prompt Injection IPI studies focus mainly on query-specific behaviors, leading to unstable attacks with lower success rates. We identify a more sever...

Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs

Large Language Models LLMs have seen rapid adoption in recent years, with industries increasingly relying on them to maintain a competitive advantage. These models excel at interpreting user instructions and generating human-like responses, leading to their integration across diverse domains,...

Enhancing Security in LLM Applications: a Performance Evaluation of Early Detection Systems

Prompt injection threatens novel applications that emerge from adapting LLMs for various user tasks. The newly developed LLM-based software applications become more ubiquitous and diverse. However, the threat of prompt injection attacks undermines the security of these systems as the mitigation a...

GHSA-4QJH-9FV9-R85R Potential Timing Side-Channel Vulnerability in vLLM’s Chunk-Based Prefix Caching

This issue arises from the prefix caching mechanism, which may expose the system to a timing side-channel attack. Description When a new prompt is processed, if the PageAttention mechanism finds a matching prefix chunk, the prefill process speeds up, which is reflected in the TTFT Time to First...

ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks

The integration of large language models LLMs into a wide range of applications has highlighted the critical role of well-crafted system prompts, which require extensive testing and domain expertise. These prompts enhance task performance but may also encode sensitive information and filtering...

AI Under the Microscope—What’s Changed in the OWASP Top 10 for LLMs 2025

As AI continues to evolve, so do the threats and vulnerabilities that surround Large Language Models LLMs. The OWASP Top 10 for LLM Applications 2025 introduces critical updates that reflect the rapid changes in how these models are applied in real-world scenarios. While the list includes...