Athena: Vulnerability-Affected Library Identification Via Knowledge Graph Completion

A single vulnerability in a widely used library can cascade through millions of dependent applications, yet more than half of vulnerability database entries contain missing or incorrect affected-library information. Existing automated approaches neglect the relational structure of vulnerability...

Ranked by the Matcher: A Reproducibility Audit of Knowledge Graph Extraction from Threat Reports

Security teams and researchers choose knowledge-graph extraction tooling for threat reports on the strength of published triple-F1 scores, yet those scores depend on how predicted triples are matched to gold annotations. We could reimplement the stated matching rule for only five of twelve...

Towards Behavior Tree-Guided Vulnerability Detection with Lightweight LLMs

Large Language Models LLMs are increasingly used for software vulnerability detection, but their performance depends on how source code is represented in the input. Most prompting approaches use source code in its original form, while some works propose the use of structured representations...

Using LLMs to Elicit Security Requirements for Service-Oriented Cyber Ranges

Cyber ranges are complex environments comprising many interacting components and stakeholders with different security concerns. The Service-Oriented Cyber Range SOR is no exception, particularly when it comes to training scenarios targeting critical infrastructure. Security concerns are translate...

HiveTraceGuard-Pro: A Compact Generative Guardrail for Prompt Injection, Jailbreaks, and Adversarial Obfuscation

Production LLMs must handle inputs that attempt to override system instructions, bypass safety policies or elicit harmful responses. A common mitigation is a separate guardrail model. Existing reports, however, provide little evidence on Russian prompt injection or Russian surface obfuscation. We...

CVE-2026-79745 MCPHub: Missing Authorization on Built-in Prompt & Resource CRUD (Unauthorized Tampering of Globally-Served Templates/Resources)

MCPHub is a unified hub for centrally managing and dynamically orchestrating multiple MCP servers/APIs into separate endpoints with flexible routing strategies. Prior to version 1.0.32, the built-in prompt and resource controllers perform no role checking. The mutating POST/PUT /api/prompts and...

Awesome-LLMs-for-Vulnerability-Detection — Updated!

Awesome Large Language Models for Vulnerability Detection A curated list of papers, projects, and agent skills on using LLMs for vulnerability detection and discovery. 📄 Papers Only showing 2025 and later. For earlier work, see Papers Archive 2024 and earlier. Title| Venue| Year| Paper| Github...

nightcrawler — Updated!

Nightcrawler An autonomous penetration testing agent that runs entirely on a smartphone. Drop the phone on a network, walk away, and it discovers hosts, maps services, finds vulnerabilities, and generates a pentest report — all without cloud connectivity. ░█▄░█ █ █▀▀ █░█ ▀█▀ █▀▀ █▀█ ▄▀█ █░█░█ █░░...

cowrie v3.0.12

.. SPDX-FileCopyrightText: 2014 Upi Tamminen [email protected] .. SPDX-FileCopyrightText: 2014-2025 Michel Oosterhof [email protected] .. .. SPDX-License-Identifier: BSD-3-Clause Cowrie What is Cowrie Cowrie is a medium to high interaction SSH and Telnet honeypot designed to log brute...

NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturing

The growing complexity of cyber-physical attack surfaces in advanced manufacturing has made cyber threat intelligence analysis increasingly difficult. Although large language models and retrieval-augmented generation have improved CTI workflows, text-based approaches remain vulnerable to...

The Fragility of Jailbreak Robustness across Operational States

Existing jailbreak evaluations typically characterize robustness using a single attack success rate ASR measured in a default configuration the vanilla state. However, user-LLM interactions can induce diverse operational states beyond the vanilla state. In this work, we find that jailbreak...

SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems

Safe agents can fail together. Multi-agent LLM systems MAS move information, state, decisions, and authority across principal boundaries, creating failures that local checks may miss. Without an execution-level view, a multi-agent setting can easily be mistaken for evidence of a genuinely...

ECLIPSE: Self-Evolving Stealthy Prompt Injection Attack against Long-Horizon Agentic Systems

Recently, large language model LLM agents, such as Codex, Claude Code, and OpenClaw, have become capable of planning and executing long-horizon tasks through repeated tool calls. This capability also creates new opportunities for prompt injection. Existing attacks either place the malicious...

CVE-2026-82640

browser-use web-ui versions 2.0.0 through 3.0.0 write configured LLM API keys to disk in cleartext without encryption or access restrictions. Attackers with read access to the temporary settings directory can recover provider API keys from predictably-named JSON files...

CVE-2026-82640 browser-use web-ui 2.0.0 through 3.0.0 Cleartext API Key Storage

browser-use web-ui versions 2.0.0 through 3.0.0 write configured LLM API keys to disk in cleartext without encryption or access restrictions. Attackers with read access to the temporary settings directory can recover provider API keys from predictably-named JSON files...

CVE-2026-82640 browser-use web-ui 2.0.0 through 3.0.0 Cleartext API Key Storage

browser-use web-ui versions 2.0.0 through 3.0.0 write configured LLM API keys to disk in cleartext without encryption or access restrictions. Attackers with read access to the temporary settings directory can recover provider API keys from predictably-named JSON files...

CVE-2026-82640: Cleartext Storage of Sensitive Information

browser-use web-ui versions 2.0.0 through 3.0.0 write configured LLM API keys to disk in cleartext without encryption or access restrictions. Attackers with read access to the temporary settings directory can recover provider API keys from predictably-named JSON files...

A Comprehensive Survey on Linguistic Steganography: Methods, Countermeasures, Evaluation, and Challenges

Linguistic steganography hides secret messages in natural language text. Large language models LLMs have reshaped the field, but a systematic account of how these scattered advances collectively reshape the field in this new era is still missing. We provide one along four axes: 148 steganographic...

CVE-2026-70331

Improper neutralization of input used for llm prompting in Microsoft Edge for iOS allows an unauthorized attacker to perform spoofing over a network...

9router: Unauthenticated `/v1` proxy access via `Host`-header spoofing → open AI relay + SSRF

Summary 9router's request guard decides a request is "local" and therefore exempt from API-key auth on the /v1 LLM proxy by reading the client-controlled Host header. Because 9router binds 0.0.0.0 by default and the CLI misleadingly prints "localhost", a remote, unauthenticated attacker who can...