8778 matches found
SeClaw: Spec-Driven Security Task Synthesis for Evaluating Autonomous Agents
Autonomous LLM agents increasingly operate in stateful environments where they access tools, files, memory, and external services. While such capabilities enable complex real-world workflows, they also introduce security risks that are difficult to capture with existing evaluations. Current agent...
Poking around in the Dark: Why a Shared Understanding of Components Matters
By listing the components included in an application, Software Bills of Materials SBOMs are intended to support the timely identification of vulnerable components and ensure the security of the software supply chain. However, we question the underlying assumption that there is agreement on the...
Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning
The rapid proliferation of multi-cloud and SaaS platforms has transformed Identity Security Posture Management ISPM into a fundamentally cross-vendor challenge: critical misconfigurations and privilege escalation paths increasingly span multiple identity providers, infrastructure layers, and...
SkillGuard: A Permission Framework for Agent Skills
Agent skills extend LLM agents with reusable instructions, scripts, tool bindings, and contextual dependencies. However, current skill ecosystems largely rely on trust-based loading and static inspection, leaving a gap between what a skill can inject into an agent's context and what it can cause...
MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models
Diffusion large language models dLLMs generate text by iteratively denoising partially masked sequences under bidirectional context, exposing a safety surface distinct from autoregressive LLMs. Because mask tokens are native inputs and tokens are committed by confidence rather than position,...
UniFi Network Application Path Traversal Vulnerability Assessment Tool
This tool lets you safely detect whether a UniFi Network Application controller is vulnerable to CVE-2026-22557 without causing any disruption. CVE-2026-22557 is an unauthenticated path traversal vulnerability in the UniFi Network Application's guest captive portal that allows remote attackers to...
PeAR: A Static Binary Rewriting Framework for Binary-Only Fuzzing
Binary-only fuzzing is a key technique for finding bugs in close-source software. Without access to source code, the fuzzer must rely on static or dynamic binary instrumentation for coverage guidance. In practice, most fuzzers favor dynamic binary instrumentation DBI, accepting runtime overhead t...
SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems
Distributed event-based systems have become a common substrate for Internet-scale publish/subscribe services, IoT telemetry, cloud-native microservices, and security operations pipelines. Their loose coupling and asynchronous delivery improve scalability, but they also expand the attack surface:...
YellowKey Bitlocker Bypass Mitigation
YellowKey is a zero-day physical attack vulnerability discovered in May 2026 that allows attackers with physical access to completely bypass BitLocker encryption on Windows 11 devices. This is a mitigation that modifies the Windows Recovery Environment to remove or disable the vulnerable...
Human Factors in Cybersecurity in Icelandic Small and Medium-Sized Enterprises
Cybersecurity threats are increasing in all aspects of society due to the integration of digital systems into modern-day life and a volatile geo-political landscape. Technical factors are an ongoing arms race; however, the threat surface from human and social factors is still present, often...
Espanso 2.3.0 Configuration Security Auditor
This Python script implements a security auditing tool for Espanso configuration files. The EspansoSecurityAuditor class scans Espanso match configurations for potentially dangerous shell commands, insecure permissions, and suspicious execution patterns that could indicate malicious automation or...
FortiClient EMS 7.4.6 Detection Scanner
FortiClient EMS CVE-2026-35616 Detection Scanner is a non-destructive security assessment module designed to identify whether Fortinet hotfix protections for CVE-2026-35616 are properly applied on FortiClient EMS servers. The scanner performs safe behavioral validation by comparing server respons...
Needles at Scale: LLM-Assisted Target Selection for Windows Vulnerability Research
The attack surface of a modern operating system is a haystack: thousands of signed binaries and millions of functions, almost none relevant to any given vulnerability. A human analyst or an LLM agent must pick the function worth reading before analyzing it. At whole-OS scope, this target selectio...
Defenses and Enablers for Skill Injection Attacks on Terminal Based Agents
Large language model LLM agents increasingly rely on reusable skills i.e. documents describing task-specific procedures. However, this introduces a new attack surface for agents to manage. We study two complementary directions for this threat. First, we evaluate guardian-based defenses: an...
Formal Verification of Secure Encrypted Virtualization
Trusted execution environments TEEs provide a secure environment for data and code in use, ensuring that they are protected with respect to confidentiality and integrity. Virtual machine VM-based TEEs utilize virtualization technology to create isolated execution spaces that can support a complet...
On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection
Network intrusion detection is a core component of modern cybersecurity infrastructure, yet the deep learning models that dominate the field are computationally demanding, motivating interest in lightweight alternatives suited to edge and neuromorphic deployment. Spiking Neural Networks SNNs are...
A New Framework for Cybersecurity Refusals in AI Agents
Agentic scaffolds have dramatically improved LLM performance on complex, long-horizon tasks, yielding both broad benefits and amplified risks in domains like cybersecurity. Existing benchmarks for AI agents in cybersecurity focus mainly on measuring proficiency--how effectively agents can complet...
ClawHub Security Signals: When VirusTotal, Static Analysis, and SkillSpector Disagree
Agent skills extend AI agents with reusable instructions, tools, scripts, references, and workflows, establishing a security boundary distinct from both model safety and traditional package-malware detection. ClawHub Security Signals is a sanitized dataset of 67,453 latest public OpenClaw skill...
Optimal Routing and Link Configuration for Covert Heterogeneous Wireless Networks in the Presence of a Friendly Jammer
In modern radio networks, nodes frequently access multiple communication interfaces such as WiFi, cellular, LoRa, and Zigbee. Optimal utilization of such heterogeneous networks HetNets at link and network levels is essential for ensuring efficient and secure communication. Some applications requi...
One (Thread) Can Keep a (PRNG) Secret, but Not Two
We present a novel, practical attack on the IPv6 Fragment ID generation algorithm of XNU, which is the kernel used by Apple products such as macOS and iOS. This attack exploits a race-condition vulnerability in the algorithm's pseudorandom number generator PRNG to cryptanalytically break, learn t...
GCVE: A Decentralized Model for Vulnerability Identification, Publication, and Operational Enrichment
The Global CVE initiative GCVE proposes a decentralized, open, and extensible model for vulnerability identification, publication, and enrichment. It addresses a gap in today's vulnerability ecosystem: centralized systems provide rigorous control and widely recognized identifiers, while many...
A Lightweight Hybrid MLP-Based Framework for Real-Time Phishing URL Detection Using Structural URL Features
Phishing attacks remain a major cybersecurity threat, exploiting deceptive URLs to steal sensitive user information. Traditional blacklist and rule-based detection approaches are reactive and often fail to identify newly emerging phishing URLs. This paper proposes a lightweight hybrid framework f...
NeuroLog: Reasoning You Can Audit -- Neuro-Symbolic Vulnerability Discovery Via LLM Facts, Datalog, and SMT
Vulnerability discovery on C/C++ source asks the analyst to choose between heavyweight static analysers, which need a working build before a single query runs, and free-form LLMs, which read source readily but invent details and lose track of cross-function dataflow on real codebases. We present...
Benchmarking Security Risk Detection and Verification in Open Agentic Skill Ecosystems
Open agent platforms allow community contributors to publish reusable skills that agents can invoke at runtime. This extensibility also creates a supply-chain risk: malicious contributors can hide harmful behavior inside skills that appear benign under superficial inspection. However, existing...
Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety
Current approaches to LLM adversarial testing suffer from coverage gaps: manual red-teaming does not scale, LLM-as-attacker methods exhibit mode collapse, and gradient-based approaches produce uninterpretable gibberish. We introduce a quality-diversity evolutionary framework that operates at the...
NICE: A Framework for Declarative and Machine-Checkable Vulnerability Reproduction
Reproducing software vulnerabilities is fundamental to security researchers, open-source maintainers, and educators. Yet, vulnerabilities remain hard to reproduce today, and even when they can be reproduced, recreating a software environment where the vulnerability can be exploited becomes harder...
Framework for Discovering GPS Spoofing Attacks in Drone Swarms
Swarm robotics, particularly drone swarms, are used in various safety-critical tasks. While a lot of attention has been given to improving swarm control algorithms for improved intelligence, the security implications of various design choices in swarm control algorithms have not been studied. We...
Stateful Online Monitoring Catches Distributed Agent Attacks
Language models can find thousands of severe software vulnerabilities, and agents are increasingly being misused for cyberattacks. To avoid detection, attackers frequently distribute their misuse, splitting a harmful task across many user accounts so each individual transcript looks benign. Becau...
Improving IoT Intrusion Detection through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
The detection of intrusions in IoT-based networks poses challenges that cannot be overcome using traditional machine learning methods. Perhaps the biggest of them is related to the presence of a class imbalance in the side-channel dataset, where the number of samples in the normal class compared ...
BadBone: Backdoor Attacks against Backbone Models in Visual Prompt Learning
Prompt learning is a new machine learning paradigm that has attracted ample attention due to its simplicity and proven efficacy. Despite its growing adoption, the security vulnerabilities associated with this paradigm remain underexplored. In this work, we take the first step to propose BadBone, ...
GETA: Generalized Encrypted Traffic Analysis
Traditional traffic analysis is being fundamentally challenged by the rapid adoption of encryption, tunnelling, and privacy-preserving protocols, which increasingly obscure packet payloads and limit the usefulness of Deep Packet Inspection DPI. Although machine learning has advanced encrypted...
Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection
Credential leakage in public source code repositories poses a critical security threat, with over 23.8 million secrets exposed in 2024 alone. Existing detection tools suffer from high false-positive rates because rigid pattern matching and binary classification schemes fail to distinguish genuine...
Joern 4.0.551
Joern is the bug hunter's workbench. With this tool, you can uncover attack surface, sloppy coding practices, and variants of known vulnerabilities using an interactive code analysis shell. Joern supports C, C++, LLVM bitcode, x86 binaries via Ghidra, JVM bytecode via Soot, and Javascript...
From Prompt Injection to Persistent Control: Defending Agentic Harness against Trojan Backdoors
LLM agents are evolving from conversational chatbots to operational tools in real-world workspaces. In local agentic harnesses, an LLM can read and write files, call tools, and reuse workspace state across sessions. While such capabilities enhance utility, they also expose a new attack surface fo...
A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)
Modern network intrusion detection systems NIDS are caught in a structural contradiction: the protocols carrying the highest threat intelligence are precisely those encrypted under TLS 1.3 and QUIC, where payload inspection yields nothing. We ask a simpler question -- what if the attack signature...
R+R: Reassessing Java Security API Misuse in Current LLMs: A Replication on JCA and JSSE APIs with External Security Knowledge
The misuse of Java security APIs is a serious security problem in software development. Research in 2024 has shown that this problem is widespread in LLM-generated code. However, it remains unclear whether this phenomenon persists in current models and how external security knowledge affects it...
How to Compare the Security of Code Written by Humans to LLM-Generated Code
Large language models LLMs are rapidly transforming how software is created and maintained. Comparing LLM-generated code against human-written standards is essential to determine whether these new tools uphold or erode the security baselines established by professional developers. Yet, we lack a...
Stochastic Analysis of Cybersecurity Defense Strategies under Single Attack Scenario
This research presents a novel stochastic framework for proactive cybersecurity defense timing under a single attack scenario. The approach models the defense process as a continuous observation mechanism in which the defense instant and the subsequent observation slot follow independent...
MAECO-Lite: Modular Ontology for Dynamic Malware Analysis
Capturing dynamic malware behavior in a practical but still semantically precise manner remains a significant challenge in cyber threat intelligence. While standards such as MAEC and STIX provide widely adopted vocabularies for describing malware artifacts and observations, they represent data wi...
Thou Shall Not Pass: Gatekeeping Outbound TLS Connections
Despite the widespread use of Transport Layer Security TLS, its security guarantees are frequently compromised by outdated versions and misconfigurations. To analyze this problem, we collected more than 50 million TLS handshakes over a two-week period at our research institution, Fondazione Bruno...
Free-Riding in the AI Economy: Demystifying Logic Flaws in X402-Enabled Payment Systems
The agentic economy demands programmatic financial rails, positioning the x402 protocol as the de facto standard for machine-to-machine payments. However, bridging synchronous HTTP requests with asynchronous blockchain finality introduces profound state synchronization challenges. In this work, w...
Confused ChatGPT: Cross-App Context Poisoning Via First-Party APIs
ChatGPT Apps, launched by OpenAI on Oct. 6, 2025, introduce an app-in-app paradigm in which third-party applications share a single chat context with the user and with every other connected app. The ecosystem grew from 122 apps in Dec. 2025 to 888 by May 2026, yet its security has remained...
Samba Unauthenticated Remote Code Execution
The printing subsystem of Samba suffers from an unauthenticated remote code execution vulnerability. Samba 4.22.10, 4.23.8 and 4.24.3 have been issued as security releases to correct the defect...
How Reliable Are AI Attackers against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency
Large language models LLMs can autonomously conduct multi-stage cyber attacks, but the consistency of their offensive behavior under repeated trials remains unstudied. This work presents the first large-scale empirical measurement of LLM attack consistency: 400 autonomous penetration testing runs...
Autopsy 4.23.1
Autopsy is the premier end-to-end open source digital forensics platform. Built by Sleuth Kit Labs with the core features you expect in commercial forensic tools, Autopsy is a fast, thorough, and efficient hard drive investigation solution that evolves with your needs...
Honeyval: A Comprehensive Evaluation Framework for LLM-Powered HTTP Honeypots
Honeypots are decoy systems mimicking real system components designed to defend against cyber attacks. Recently, LLMs increasingly serve as simulation backbones for honeypots. They enable defenders to construct high-interaction honeypots with low system security risks. However, LLM-powered honeyp...
Dissecting the Black Box: Circuit-Level Analysis of LLM Vulnerability Detection
Large language models LLMs can detect software vulnerabilities, but how do they actually identify vulnerable code? We address this question using mechanistic interpretability; analyzing the internal computations of a neural network to understand its reasoning process.Using Circuit Tracer on...
Hijacking Agent Memory: Stealthy Trojan Attacks through Conversational Interaction
Large language model LLM agents increasingly leverage long term memory to support persistent and autonomous task execution. However, this capability also introduces a new attack surface: memory poisoning, where adversaries can inject malicious information to influence future behavior. Existing...
The Surface You Test Is Not the Surface That Breaks
Tool-augmented LLM agents are vulnerable to prompt injection: a third party who controls part of the agent's context can plant instructions that the agent then executes as if they came from the user. Current evaluations report a single attack success rate per model on one channel, the tool output...