Next.js Concurrent Version Exposure / Vulnerability Audit Tool

This Python script is a lightweight defensive auditing utility designed to identify websites running Next.js and determine whether their detected version falls within predefined potentially vulnerable version ranges...

Steering LLM Viewpoints through Fabricated Evidence Injection

As chatbots increasingly influence daily decision-making, their potential to produce misleading responses poses substantial risks to users. This paper investigates a critical cognitive vulnerability in LLMs: their tendency to uncritically trust external context when presented with fabricated...

CodeQL 2.25.6

Discover vulnerabilities across a codebase with CodeQL, an industry-leading semantic code analysis engine. CodeQL lets you query code as though it were data. Write a query to find all variants of a vulnerability, eradicating it forever. Then share your query to help others do the same...

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

Autonomous spacecraft require rapid, lightweight, and reliable onboard detection of cyber-RF threats. Using the SPARTA attack model, we analyze the latency-accuracy trade-offs of TinyML-compatible classical models -- Random Forest, Logistic Regression, SVM, and MLP -- for detecting uplink jamming...

ExploitBench AI Exploit Benchmark Tool

ExploitBench measures how far AI agents climb, from reaching vulnerable code, to triggering the bug, to building exploit primitives, to arbitrary code execution...

GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks

Rule-based Intrusion Detection and Prevention Systems IDPS offer precise attack detection as well as mitigation, however their manually crafted, signature-driven rules limit adaptability to emerging and zero-day threats. Additionally, existing public datasets e.g., CICIDS2017, UNSW-NB15 focus on...

Cognitive Threat Intelligence and Explainable Federated Security Analytics for Distributed Infrastructure Systems

The increasing adoption of distributed infrastructure systems, cloud computing, Internet of Things IoT technologies, and edge-based architectures has significantly expanded the cybersecurity attack surface and introduced increasingly sophisticated cyber threats. Conventional centralized intrusion...

ExploitGym AI Exploit Benchmark Tool

ExploitGym is a large-scale, realistic benchmark built from real-world vulnerabilities designed to evaluate AI agents' ability to develop exploits...

Joern 4.0.554

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...

Exploring the Connection between Coding Habits and Cognitive Styles in Malware Developers

Malware research primarily studies the results, the methods, and the impact. Even from an offensive security perspective, what is examined is the method, not the development strategy of the offender. This study investigates the behavioral signatures and coding patterns embedded in the malware...

From Attack Simulation to SIEM Rule: Deterministic Detection-As-Code Synthesis with Probe-Level Traceability

Security teams routinely simulate attacks against their own systems to check whether their monitoring would catch a real intruder. These Breach-and-Attack-Simulation BAS tools surface findings, but the security information and event management SIEM systems that watch production need detection rul...

CISA: CISA and Partners Urge Hardening Automatic Tank Gauge Systems

The Cybersecurity and Infrastructure Security Agency CISA, the Federal Bureau of Investigation FBI, the National Security Agency NSA, the Department of Energy DOE, the Environmental Protection Agency EPA, the Transportation Security Administration TSA, the Department of Transportation DOT, and th...

TeleHunt: A Framework and Tool for Efficient Cybercriminal Community Discovery on Telegram

This paper presents TeleHunt, a framework and tool for evaluating the effectiveness of different strategies to discover cybercriminal communities on Telegram. TeleHunt employs a set of reference-driven snowballing strategies, integrating message-level classification, contextual filtering, and...

Description-Code Inconsistency in Real-World MCP Servers: Measurement, Detection, and Security Implications

The Model Context Protocol MCP has emerged as a critical standard empowering Large Language Models LLMs to utilize external tools. In this ecosystem, LLMs rely on natural language descriptions provided by MCP servers to select and execute functions. This interaction implicitly assumes that tool...

Linux Kernel FD-Race Monitoring

This C program is a defensive process-monitoring utility, not a privilege-escalation exploit. It continuously inspects /proc/pid/fd to detect suspicious activity related to excessive file descriptor usage, activity from sensitive SUID binaries, and potential file descriptor leakage or theft...

Online Safety Regulation Increases Privacy Risk: Evidence from the UK Online Safety Act

Governments worldwide are increasingly regulating digital platforms to reduce online harms, particularly those affecting children. However, access restrictions can alter user behaviour and introduce new privacy and security risks. The UK Online Safety Act OSA, passed in October 2023, illustrates...

NLLog: Lightweight, Explainable SOC Anomaly Detection Via Log-To-Language Rewriting

System-generated logs underpin security monitoring, yet their rigid template-based format hinders both automated analysis and human comprehension. We present NLLog Natural-Language Log, a lightweight pipeline that deterministically rewrites parsed templates into WHO-WHAT-SEVERITY sentences, pools...

SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation

Security misconfigurations remain a leading cause of OS-level compromise, and manually keeping systems compliant with standards like Defense Information Systems Agency DISA Security Technical Implementation Guides STIGs is a tedious and expensive process. Existing compliance automation tools can...

Revisiting Vul-RAG: Reproducibility and Replicability of RAG-Based Vulnerability Detection with Open-Weight Models

Large language models LLMs have shown strong potential for automated software vulnerability detection, particularly in retrieval-augmented generation RAG settings. However, for approaches relying on proprietary models and APIs, reproducibility and replicability remain largely unexplored, raising...

MCPJam Inspector 1.4.2 Defensive API Security Assessment Tool

This Python-based defensive auditing tool evaluates the exposure and security posture of MCP-related API endpoints in a controlled and authorized environment. It is designed to assist security teams in identifying insecure API configurations, exposed execution interfaces, and potential operationa...

Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts

Artificial intelligence poses many risks, ranging from familiar present-day harms to unprecedented and potentially catastrophic ones. Effective risk management requires prioritization: we must understand which risks are most severe, who is most vulnerable, and who is most responsible for addressi...

Remote Sunrise Helper for Windows GUI Boundary / Access Control Integrity Auditor

This is a script that tests GUI boundary and access controls in Remote Sunrise Helper for Windows. It launches the application, waits for the target window, and provides manual testing guidance. It does not validate process-boundary handling by itself, does not target any specific known...

CRESS: Quantifying Vulnerabilities of Attack Scenarios in Hardware Reverse Engineering

The safety, security, and reliability of microelectronic systems depend on a trustworthy, secured supply chain and design flow. Globally distributed supply chains or unintentional design weaknesses leave the door open for attacks on the hardware level. These scenarios encompass counterfeiting,...

American Fuzzy Lop plus plus 5.00c

Google's American Fuzzy Lop is a brute-force fuzzer coupled with an exceedingly simple but rock-solid instrumentation-guided genetic algorithm. afl++ is a superior fork to Google's afl. It has more speed, more and better mutations, more and better instrumentation, custom module support, etc...

CyberGym-E2E: Scalable Real-World Benchmark for AI Agents' End-To-End Cybersecurity Capabilities

AI has the potential to transform cybersecurity by enabling systems that can autonomously detect, analyze, and remediate software vulnerabilities. However, existing cybersecurity evaluations of AI systems are limited in scale or scope, and fail to capture the end-to-end lifecycle of real-world...

Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding

High-dimensional feature representations are widely used in machine learning-based cyberattack detection systems. However, they increase computational complexity and may hinder deployment in resource-constrained environments. In this paper, we investigate feature compression techniques for...

ZERO-APT: A Closed-Loop Adversarial Framework for LLM-Driven Automated Penetration Testing under Intelligent Defense

LLM-driven automated penetration testing agents are typically evaluated against static targets that neither detect nor respond to attacks, so their behavior under intelligent defense remains untested. The causal consistency of multi-step attack chains likewise hinges on unstable LLM reasoning, an...

TIBlender: Early-Warning Threat Intelligence from Cross-Platform Social Media Evidence

Cyber threat signals are fragmented across multiple social media platforms, yet no existing approach has fully automated their integration into actionable threat intelligence TI reports. We present TIBlender, a multi-agent system that monitors four platforms X, Reddit, Telegram, and Discord and...

The Coverage Gap: Chile's Cyber Disclosure Framework Versus the USA, EU and UK

We introduce the Coverage Gap as a measurable distance between the observable public exposure of critical-infrastructure operators and their declared capability to coordinate vulnerability disclosure. We instantiate it against the 915 Chilean Operadores de Importancia Vital OIVs -- Operators of...

CLIF: Cross-Layer LEO-ISL Fingerprinting for Physical and Network Attack Detection in Dense LEO Constellations

Low-Earth Orbit LEO mega-constellations such as Starlink by SpaceX and Kuiper by Amazon rely on optical Inter-Satellite Links ISLs for autonomous mesh routing to provide low-latency telecommunication, Internet of Things IoT, and security services globally. As commercial operators and governments...

Windows Telemetry Persistence

This simulation proof of concept code demonstrates conceptual persistence mechanisms registry-like structures and scheduled task representation without performing actual registry modifications, persistence installation, or execution...

Samba SMB Printer Share Utility Share Enumeration / File Access Testing Tool

This Python utility is a lightweight SMB interaction tool designed for enumerating Samba/Windows shares, identifying printer-related shares, testing write permissions, and uploading files to accessible SMB resources. It's written to target versions 4.22.10, 4.23.8 and 4.24.3...

AI Model Extraction Attacks: Bypassing Single-Client Assumptions in Defenses

Ensuring the protection of Artificial Intelligence AI models deployed in military Command and Control C2 systems and critical infrastructure is essential for maintaining information superiority. Model Extraction Attacks MEAs pose a significant threat, as they enable adversaries to replicate...

Learn from Your Mistakes: Tree-Like Self-Play for Secure Code LLMs

While Large Language Models LLMs excel in code generation, they remain prone to replicating subtle yet critical vulnerabilities endemic to their training data. Current alignment techniques, such as Supervised Fine-Tuning SFT and Reinforcement Learning RL, typically apply coarse-grained optimizati...

WebADM LDAP Environment Audit / Data Extraction Engine

This is an authenticated assessment and auditing utility designed to collect and process directory information from a WebADM deployment using available application functionality, rather than a vulnerability proof-of-concept...

Towards Intrusion Detection Systems for RPL-Based IoT Networks Using Foundation Models

AI-based intrusion detection systems IDS have shown promise in detecting attacks on IoT systems. In this work, we explore the use of foundation models to detect and identify attacks, with a specific focus on RPL-based IoT networks. We study multiple attack types, attack variations, and network...

From Untrusted Input to Trusted Memory: A Systematic Study of Memory Poisoning Attacks in LLM Agents

Memory is a core component of AI agents, enabling them to accumulate knowledge across interactions and improve performance. However, persistent memory introduces the risk of memory poisoning, where a single adversarial memory write can exert long-term influence over agent behavior. We present a...

The Role of Domain-Specific Features in Malware Detection: A MacOS Case Study

Despite the growing popularity of macOS among end users and enterprise systems, malware research has primarily focused on Windows and Android operating systems, leaving the problem of macOS malware detection relatively unexplored. Indeed, the specificity of the operating system and the unique...

Detecting Aimbot Cheaters in MOGs

Multiplayer Online Games have become a multibillion dollar industry in the entertainment sector. However, the presence of cheaters undermines the experience of honest players and devalues the effort of game developers, as it directly affects player retention, competitive integrity, the legitimacy...

WebADM Security Auditor and Content Exposure Scanner

This Python script is a defensive security auditing tool designed to analyze a target web application for potential information exposure and security misconfigurations, specifically focusing on environments resembling WebADM. This was tested on version 2.4.17-1...

High-Precision APT Malware Attribution with Out-Of-Scope Resilience

Early attribution of Advanced Persistent Threat APT activity can help defenders prioritise investigation, select countermeasures, and reduce the impact of an intrusion. Malware provides useful attribution evidence, but automated APT malware attribution remains difficult in practice. Existing...

PCLink 4.1.1 Basic API Exposure / Header Misconfiguration Scanner

This Python script is a lightweight security auditing tool designed to assess a PCLink server for potential exposure of sensitive headers and extension-related API endpoints. It's written to analyze version 4.1.1...

FORGE: Multi-Agent Graduated Exploitation and Detection Engineering

Vulnerability disclosure volumes now far exceed organizational assessment capacity, yet three adjacent research communities proof-of-concept generation, vulnerability prioritization, and detection rule engineering operate largely in isolation. Existing automated exploit generation systems report...

FlowGuard: Flow Matching for Identity-Independent Detection of Data-Free Model Stealing Attacks on Energy System Intrusion Detection Systems

Artificial Intelligence AI-based Intrusion Detection Systems IDS deployed in energy infrastructure are vulnerable to model theft attacks, which allow adversaries to create evasive traffic offline. Current defences against model extraction rely either on identity-bound query monitoring, which is...

angr 9.2.220

angr is an open-source binary analysis platform for Python. It combines both static and dynamic symbolic "concolic" analysis, providing tools to solve a variety of tasks...

Samba Print Configuration Checker

This Python script is a lightweight configuration analysis tool designed to inspect Samba smb.conf printing settings and identify potentially unsafe print command configurations associated with command injection risks. It's written to target versions 4.22.10, 4.23.8 and 4.24.3...

Windows Scheduled Task Persistence Using S4U Authentication

This Python script defines a class called S4UPersistence that automates the creation of a Windows Scheduled Task to repeatedly execute an executable payload. It generates a Task Scheduler XML configuration and uses the S4U logon type, allowing the task to run without requiring an interactive...

Windows BITS Persistence Tool

This script implements a BITS-based persistence mechanism with an embedded HTTP server and remote payload delivery for Windows...

Dstack-Capsule: Pod-Level Remote Attestation for Confidential Workloads on Kubernetes

The rise of LLM-as-a-Service and other confidential cloud workloads demands cryptographic proof that user data is processed in a trusted, untampered environment. Existing solutions, notably Confidential Containers CoCo, enforce a strict "one Pod per VM" model that attests only the Guest OS stack,...

TOR Virtual Network Tunneling Tool 0.4.9.9

Tor is a network of virtual tunnels that allows people and groups to improve their privacy and security on the Internet. It also enables software developers to create new communication tools with built-in privacy features. It provides the foundation for a range of applications that allow...