Guiding Symbolic Execution with Static Analysis and LLMs for Vulnerability Discovery

Symbolic execution detects vulnerabilities with precision, but applying it to large codebases requires harnesses that set up symbolic state, model dependencies, and specify assertions. Writing these harnesses has traditionally been a manual process requiring expert knowledge, which significantly...

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills

OpenClaw's ClawHub marketplace hosts over 13,000 community-contributed agent skills, and between 13% and 26% of them contain security vulnerabilities according to recent audits. Regex scanners miss obfuscated payloads; formal static analyzers cannot read the natural language instructions in...

Towards the Development of an LLM-Based Methodology for Automated Security Profiling in Compliance with Ukrainian Cybersecurity Regulations

In recent years, the pace of development of information technology in various areas has increased drastically, forcing cybersecurity specialists to constantly review existing processes in order to prevent unauthorized access to confidential information. Using Ukraine as a primary case study, this...

SAMSUNG多款产品 安全漏洞

SAMSUNG Exynos 980 and other products are manufactured by Samsung Electronics of South Korea. The SAMSUNG Exynos 980 is the first 5G-integrated SOC product, as well as the world’s first A77 architecture processor. The SAMSUNG Exynos 1280 is a processor for mobile devices. The SAMSUNG Exynos 850 i...

EUVD-2025-209251

An issue was discovered in Samsung Mobile Processor, Wearable Processor, and Modem Exynos 980, 850, 990, 1080, 2100, 1280, 2200, 1330, 1380, 1480, 2400, 1580, 2500, 1680, 9110, W920, W930, W1000, Modem 5123, Modem 5300, Modem 5400, and Modem 5410. The absence of proper input validation leads to a...

PYSEC-2026-2298

vLLM is an inference and serving engine for large language models LLMs. From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionReques...

PYSEC-2026-2298

vLLM is an inference and serving engine for large language models LLMs. From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionReques...

EUVD-2026-19351

vLLM is an inference and serving engine for large language models LLMs. From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionReques...

CVE-2026-34756 vLLM Affected by Unauthenticated OOM Denial of Service via Unbounded `n` Parameter in OpenAI API Server

vLLM is an inference and serving engine for large language models LLMs. From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionReques...

CVE-2026-34756 vLLM Affected by Unauthenticated OOM Denial of Service via Unbounded `n` Parameter in OpenAI API Server

vLLM is an inference and serving engine for large language models LLMs. From 0.1.0 to before 0.19.0, a Denial of Service vulnerability exists in the vLLM OpenAI-compatible API server. Due to the lack of an upper bound validation on the n parameter in the ChatCompletionRequest and CompletionReques...

SAMSUNG多款产品 安全漏洞

SAMSUNG Exynos 980 and other products are manufactured by Samsung Electronics of South Korea. The SAMSUNG Exynos 980 is the first 5G-integrated SOC product, as well as the world’s first A77 architecture processor. The SAMSUNG Exynos 990 is a mobile processor. The SAMSUNG Exynos 850 is also a mobi...

Samsung多款产品 安全漏洞

Samsung Mobile Processors are products of the South Korean company Samsung. Samsung Mobile Processors are a series of mobile processors. Samsung Wearable Processors are a series of wearable processors. Samsung Modem Exynos is a series of modem chips. Several Samsung products have security...

Samsung多款产品 安全漏洞

SAMSUNG Mobile Processors are products of South Korea’s Samsung Corporation. SAMSUNG Mobile Processors are a series of mobile processors. SAMSUNG Wearable Processors are a series of wearable processors. SAMSUNG Modem Exynos is a series of modem chips. Several Samsung products have security...

CVE-2026-4272

CVE-2026-4272 concerns a Missing Authentication for Critical Function in Honeywell Handheld Scanners. Affected are certain Handheld Scanner bases (C1, D1, A1/B1) with specific firmware/builds; vulnerable component Scope includes Ingenic x1000/x1600/IMX25 bases before listed GK/HE/BK firmware IDs....

CoopGuard: Stateful Cooperative Agents Safeguarding LLMs against Evolving Multi-Round Attacks

As Large Language Models LLMs are increasingly deployed in complex applications, their vulnerability to adversarial attacks raises urgent safety concerns, especially those evolving over multi-round interactions. Existing defenses are largely reactive and struggle to adapt as adversaries refine...

LLM-Enabled Open-Source Systems in the Wild: An Empirical Study of Vulnerabilities in GitHub Security Advisories

Large language models LLMs are increasingly embedded in open-source software OSS ecosystems, creating complex interactions among natural language prompts, probabilistic model outputs, and execution-capable components. However, it remains unclear whether traditional vulnerability disclosure...

Towards Unveiling Vulnerabilities of Large Reasoning Models in Machine Unlearning

Large language models LLMs possess strong semantic understanding, driving significant progress in data mining applications. This is further enhanced by large reasoning models LRMs, which provide explicit multi-step reasoning traces. On the other hand, the growing need for the right to be forgotte...

SecPI: Secure Code Generation with Reasoning Models Via Security Reasoning Internalization

Reasoning language models RLMs are increasingly used in programming. Yet, even state-of-the-art RLMs frequently introduce critical security vulnerabilities in generated code. Prior training-based approaches for secure code generation face a critical limitation that prevents their direct applicati...

Perceptual Gaps: ASCII Art and Overlapping Audio As CAPTCHA

As multimodal large language models LLMs advance, traditional CAPTCHAs have become obsolete at distinguishing humans from bots. To address this shift, this paper aims to investigate the possibility of using tasks for which humans have evolved highly specialised neural processing. We introduce two...

Your Agent Is More Brittle Than You Think: Uncovering Indirect Injection Vulnerabilities in Agentic LLMs

The rapid deployment of open-source frameworks has significantly advanced the development of modern multi-agent systems. However, expanded action spaces, including uncontrolled privilege exposure and hidden inter-system interactions, pose severe security challenges. Specifically, Indirect Prompt...