CVE-2025-12345

A security vulnerability has been detected in LLM-Claw 0.1.0/0.1.1/0.1.1a/0.1.1a-p1. The affected element is the function agentdeployinit of the file /agents/deploy/initiate.c of the component Agent Deployment. Such manipulation leads to buffer overflow. It is possible to launch the attack...

CVE-2025-12345

A security vulnerability has been detected in LLM-Claw 0.1.0/0.1.1/0.1.1a/0.1.1a-p1. The affected element is the function agentdeployinit of the file /agents/deploy/initiate.c of the component Agent Deployment. Such manipulation leads to buffer overflow. It is possible to launch the attack...

CVE-2025-12345

CVE-2025-12345 affects LLM-Claw versions 0.1.0–0.1.1a-p1 and is due to a buffer overflow in the function agent_deploy_init within /agents/deploy/initiate.c (Agent Deployment). Multiple sources (NVD, Red Hat, etc.) describe remote-exploitability, enabling an attacker to trigger overflow without us...

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks

LLM agents are evolving rapidly, powered by code execution, tools, and the recently introduced agent skills feature. Skills allow users to extend LLM applications with specialized third-party code, knowledge, and instructions. Although this can extend agent capabilities to new domains, it creates...

exploit-notes

🎯 Pentest Playbook Index Welcome to the comprehensive penetra...

PT-2026-42538

Name of the Vulnerable Software and Affected Versions LiteLLM versions prior to 1.83.14 Description An authenticated internal user can create API keys with access to routes not permitted by their role. This occurs because the allowed routes field is stored during key generation without verifying ...

GHSA-2QJ5-GWG2-XWC4 OpenClaw: Unsanitized CWD path injection into LLM prompts

Overview OpenClaw embedded the current working directory workspace path into the agent system prompt without sanitization. If an attacker can cause OpenClaw to run inside a directory whose name contains control/format characters for example newlines or Unicode bidi/zero-width markers, those...

UAT-9921 Deploys VoidLink Malware to Target Technology and Financial Sectors

A previously unknown threat actor tracked as UAT-9921 has been observed leveraging a new modular framework called VoidLink in its campaigns targeting the technology and financial services sectors, according to findings from Cisco Talos. "This threat actor seems to have been active since 2019,...

I Can't Believe It's Not a Valid Exploit

Recently Large Language Models LLMs have been used in security vulnerability detection tasks including generating proof-of-concept PoC exploits. A PoC exploit is a program used to demonstrate how a vulnerability can be exploited. Several approaches suggest that supporting LLMs with additional...

From Similarity to Vulnerability: Key Collision Attack on LLM Semantic Caching

Semantic caching has emerged as a pivotal technique for scaling LLM applications, widely adopted by major providers including AWS and Microsoft. By utilizing semantic embedding vectors as cache keys, this mechanism effectively minimizes latency and redundant computation for semantically similar...

Turning threat reports into detection insights with AI

Security teams routinely need to transform unstructured threat knowledge, such as incident narratives, red team breach-path writeups, threat actor profiles, and public reports into concrete defensive action. The early stages of that work are often the slowest. These include extracting tactics,...

vLLM vulnerable to Server-Side Request Forgery (SSRF) through MediaConnector

Summary A Server-Side Request Forgery SSRF vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The loadfromurl and loadfromurlasync methods obtain and process media from URLs provided by users, using different Python parsing libraries when restrictin...

GHSA-QH4C-XF7M-GXFC vLLM vulnerable to Server-Side Request Forgery (SSRF) through MediaConnector

Summary A Server-Side Request Forgery SSRF vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The loadfromurl and loadfromurlasync methods obtain and process media from URLs provided by users, using different Python parsing libraries when restrictin...

CVE-2023-4897

Relative Path Traversal in GitHub repository mintplex-labs/anything-llm prior to 0.0.1...

CVE-2025-23254

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering...

CVE-2025-62327 HCL DevOps Deploy is susceptible to insufficiently protected credentials

In HCL DevOps Deploy 8.1.2.0 through 8.1.2.3, a user with LLM configuration privileges may be able to recover a credential previously saved for performing authenticated LLM Queries...

PT-2026-1838

Name of the Vulnerable Software and Affected Versions HCL DevOps Deploy versions 8.1.2.0 through 8.1.2.3 Description A user possessing LLM configuration privileges may be able to recover credentials previously saved for authenticated LLM Queries. Recommendations Update HCL DevOps Deploy to a...

HCL DevOps Deploy 安全漏洞

HCL DevOps Deploy is an application from HCL India. It can be mapped to your organizational structure using flexible team-based and role-based security models. A security vulnerability exists in HCL DevOps Deploy versions 8.1.2.0 through 8.1.2.3, which stems from improperly configured permissions...

SUSE CVE-2025-62155

New API is a large language mode LLM gateway and artificial intelligence AI asset management system. Prior to version 0.9.6, a recently patched SSRF vulnerability contains a bypass method that can bypass the existing security fix and still allow SSRF to occur. Because the existing fix only applie...

Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection

Large Language Models LLMs have demonstrated significant potential in automated software security, particularly in vulnerability detection. However, existing benchmarks primarily focus on isolated, single-vulnerability samples or function-level classification, failing to reflect the complexity of...