681 matches found
SUSE CVE-2026-25802
New API is a large language mode LLM gateway and artificial intelligence AI asset management system. Prior to version 0.10.8-alpha.9, a potential unsafe operation occurs in component MarkdownRenderer.jsx, allowing for Cross-Site ScriptingXSS when the model outputs items containing tag. Version...
CVE-2025-12345 LLM-Claw Agent Deployment initiate.c agent_deploy_init buffer overflow
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 LLM-Claw Agent Deployment initiate.c agent_deploy_init buffer overflow
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...
Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
Jailbreak techniques for large language models LLMs evolve faster than benchmarks, making robustness estimates stale and difficult to compare across papers due to drift in datasets, harnesses, and judging protocols. We introduce JAILBREAK FOUNDRY JBF, a system that addresses this gap via a...
Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance
The growing deployment of Internet of Things IoT devices in smart cities and industrial environments increases vulnerability to stealthy, multi-stage advanced persistent threats APTs that exploit wireless communication. Detection is challenging due to severe class imbalance in network traffic,...
CVE-2026-3071
Deserialization of untrusted data in the LanguageModel class of Flair from versions 0.4.1 to latest are vulnerable to arbitrary code execution when loading a malicious model...
CVE-2026-3071
The CVE concerns Flair’s LanguageModel class where deserialization of untrusted data in versions 0.4.1 to latest allows arbitrary code execution when loading a malicious model. The issue, with CVSSv3.1 metrics indicating HIGH severity (Local access, no user interaction, full scope and high confid...
PT-2026-22151
Name of the Vulnerable Software and Affected Versions Flair versions 0.4.1 through latest Description The deserialization of untrusted data in the LanguageModel class can lead to arbitrary code execution when loading a malicious model. Recommendations Versions prior to 0.4.1 are not affected. At...
flair 安全漏洞
Flair is a very simple and advanced NLP framework developed by Flair OpenSource. There are security vulnerabilities in Flair versions 0.4.1 onwards. These vulnerabilities stem from the LanguageModel class’s ability to deserialize untrusted data, which may allow arbitrary code to be executed when...
CVE-2026-25802
New API is a large language mode LLM gateway and artificial intelligence AI asset management system. Prior to version 0.10.8-alpha.9, a potential unsafe operation occurs in component MarkdownRenderer.jsx, allowing for Cross-Site ScriptingXSS when the model outputs items containing...
CVE-2026-25802
New API is a large language mode LLM gateway and artificial intelligence AI asset management system. Prior to version 0.10.8-alpha.9, a potential unsafe operation occurs in component MarkdownRenderer.jsx, allowing for Cross-Site ScriptingXSS when the model outputs items containing tag. Version...
CVE-2026-25802 New API has Potential XSS in its MarkdownRenderer component
New API is a large language mode LLM gateway and artificial intelligence AI asset management system. Prior to version 0.10.8-alpha.9, a potential unsafe operation occurs in component MarkdownRenderer.jsx, allowing for Cross-Site ScriptingXSS when the model outputs items containing tag. Version...
EUVD-2026-7452
New API is a large language mode LLM gateway and artificial intelligence AI asset management system. Prior to version 0.10.8-alpha.9, a potential unsafe operation occurs in component MarkdownRenderer.jsx, allowing for Cross-Site ScriptingXSS when the model outputs items containing tag. Version...
ICSSPulse: A Modular LLM-Assisted Platform for Industrial Control System Penetration Testing
It is well established that industrial control systems comprise the operational backbone of modern critical infrastructures, yet their increasing connectivity exposes them to cyber threats that are difficult to study and remedy safely under real-time operational conditions. In this paper, we...
How Exposed Endpoints Increase Risk Across LLM Infrastructure
As more organizations run their own Large Language Models LLMs, they are also deploying more internal services and Application Programming Interfaces APIs to support those models. Modern security risks are being introduced less from the models themselves and more from the infrastructure that...
FuzzySQL: Uncovering Hidden Vulnerabilities in DBMS Special Features with LLM-Driven Fuzzing
Traditional database fuzzing techniques primarily focus on syntactic correctness and general SQL structures, leaving critical yet obscure DBMS features, such as system-level modes e.g., GTID, programmatic constructs e.g., PROCEDURE, advanced process commands e.g., KILL, largely underexplored...
Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study
The growing reliance on AI-identified digital evidence raises significant concerns about its reliability, particularly as large language models LLMs are increasingly integrated into forensic investigations. This paper proposes a structured framework that automates forensic artifact extraction,...
LLM Scalability Risk for Agentic-AI and Model Supply Chain Security
Large Language Models LLMs & Generative AI are transforming cybersecurity, enabling both advanced defenses and new attacks. Organizations now use LLMs for threat detection, code review, and DevSecOps automation, while adversaries leverage them to produce malwares and run targeted social-engineeri...