CVE-2026-44246 nnU-Net: Agentic workflow injection in `.github/workflows/issue-triage.yml` of `MIC-DKFZ/nnUNet`

nnU-Net is a semantic segmentation framework that automatically adapts its pipeline to a dataset. Prior to 2.4.1, the nnU-Net Issue Triage workflow in .github/workflows/issue-triage.yml is vulnerable to Agentic Workflow Injection. The workflow sets allowednonwriteusers: $...

CVE-2026-44222

vLLM is an inference and serving engine for large language models LLMs. From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder...

CVE-2026-44222

vLLM is an inference and serving engine for large language models LLMs. From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder...

CVE-2026-44222

CVE-2026-44222 (vLLM) affects vLLM versions 0.6.1 through 0.19.x where a token-injection vulnerability in multimodal processing allows unauthenticated text prompts containing special tokens to be interpreted as control. When image/video placeholder sequences are provided without corresponding dat...

CVE-2026-44222 vLLM: Remote DoS via Special-Token Placeholders

vLLM is an inference and serving engine for large language models LLMs. From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder...

CVE-2026-44222 vLLM: Remote DoS via Special-Token Placeholders

vLLM is an inference and serving engine for large language models LLMs. From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder...

CVE-2026-44222 vLLM: Remote DoS via Special-Token Placeholders

vLLM is an inference and serving engine for large language models LLMs. From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder...

nnU-Net 安全漏洞

nnU-Net is an automatic adaptation dataset semantic segmentation framework developed by MIC-DKFZ. Versions of nnU-Net prior to 2.4.1 contained a security vulnerability. This vulnerability stemmed from the Issue Triage workflow, which allowed attackers to control content injection into the Claude...

vLLM 输入验证错误漏洞

vLLM is an open-source inference and service engine designed for LLM models, featuring high throughput and efficient memory usage. Versions of vLLM prior to 0.6.1 to 0.20.0 contained a vulnerability related to input validation errors. This vulnerability stemmed from token injection issues during...

Apple多款产品 安全漏洞

Apple iOS, among others, are products of the American company Apple. Apple iOS is an operating system developed for mobile devices. Apple macOS is a specialized operating system designed for Mac computers. Apple iPadOS is an operating system for iPad tablets. Several of Apple’s products have...

When Prompts Become Payloads: A Framework for Mitigating SQL Injection Attacks in Large Language Model-Driven Applications

Natural language interfaces to structured databases are becoming increasingly common, largely due to advances in large language models LLMs that enable users to query data using conversational input rather than formal query languages such as SQL. While this paradigm significantly improves usabili...

Re-Triggering Safeguards within LLMs for Jailbreak Detection

This paper proposes a jailbreaking prompt detection method for large language models LLMs to defend against jailbreak attacks. Although recent LLMs are equipped with built-in safeguards, it remains possible to craft jailbreaking prompts that bypass them. We argue that such jailbreaking prompts ar...

Remote Code Execution (RCE)

LiteLLM is vulnerable to Remote Code Execution RCE. The vulnerability is due to unsafe rendering of user-supplied prompt templates in the POST /prompts/test endpoint without sandboxing, allowing authenticated users to execute arbitrary code within the LiteLLM Proxy process and potentially access...

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security beyond Binary Scoring

Jailbreak attacks -- adversarial prompts that bypass LLM alignment through purely linguistic manipulation -- pose a growing operational security threat, yet the field lacks large-scale, reproducible infrastructure for generating, categorizing, and evaluating them systematically. This paper...

CVE-2026-42203

LiteLLM is a proxy server AI Gateway to call LLM APIs in OpenAI or native format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template could run arbitrary code inside the...

CVE-2026-42203 LiteLLM: Server-Side Template Injection in /prompts/test endpoint

LiteLLM is a proxy server AI Gateway to call LLM APIs in OpenAI or native format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template could run arbitrary code inside the...

CVE-2026-42203 LiteLLM: Server-Side Template Injection in /prompts/test endpoint

LiteLLM is a proxy server AI Gateway to call LLM APIs in OpenAI or native format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template could run arbitrary code inside the...

CVE-2026-42203

LiteLLM (proxy server) is affected from version 1.80.5 up to before 1.83.7 due to Server-Side Template Injection in the POST /prompts/test endpoint. The endpoint renders user-supplied prompt templates without sandboxing, enabling arbitrary code execution inside the LiteLLM Proxy process when auth...

EUVD-2026-28502

LiteLLM is a proxy server AI Gateway to call LLM APIs in OpenAI or native format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template could run arbitrary code inside the...

CVE-2026-42203 LiteLLM: Server-Side Template Injection in /prompts/test endpoint

LiteLLM is a proxy server AI Gateway to call LLM APIs in OpenAI or native format. From version 1.80.5 to before version 1.83.7, the POST /prompts/test endpoint accepted user-supplied prompt templates and rendered them without sandboxing. A crafted template could run arbitrary code inside the...