Windows BITS Persistence Tool

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

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...

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...

Bastet: A Fine-Grained Expert-Labeled Dataset for DeFi Smart Contract Vulnerability Detection

Smart contract vulnerabilities in Decentralized Finance DeFi protocols resulted in over 1.49 billion USD in confirmed losses in 2024 alone, across 192 incidents 1. As LLM-based vulnerability detection emerges as a promising approach to address these threats, the quality of evaluation datasets has...

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...

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...

A Hybrid Approach for Malware Classification Using Secondary Features Fusion

The number of malware either variant or novel is rapidly increasing, making malware detection and mitigation a complex problem. One approach to improving malware mitigation is automatic detection and malware family classification. However, traditional malware detection methods cannot classify...

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...

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...

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...

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...

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...

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...

Backdoor Unlearning Generalization: A Path toward the Removal of Unknown Triggers in LLMs

Backdoor attacks in Large Language Models LLMs are a growing security concern, where models can generate adversary-chosen content. Existing defenses target backdoors one at a time and typically require knowledge of the trigger, leaving the defender at a structural disadvantage when unknown...

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...

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...

Quantum Secure Blind Decryption with Two Users

We propose two types of protocols for quantum secure blind decryption, involving two users and servers. User 1 holds the encrypted ciphertext. The servers store several indexed keys including the key encrypting the ciphertext. User 2 aims to obtain the decrypted text. The protocols are designed t...

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...

Patcher: Post-Hoc Patching of Backdoored Large Language Models

Large language models remain vulnerable to jailbreak backdoor attacks, where adversaries poison safety alignment data to embed hidden triggers that bypass safety mechanisms. Existing defenses often require comprehensive attack information or multiple triggered examples, making them impractical wh...

AgentRedBench: Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS Integrations

Indirect prompt injection in tool-use agents is a concrete production threat: LLM agents read from integrations third-party services such as Gmail, Salesforce, or Jira accessed through tool calls whose response content the user neither writes nor controls. Existing benchmarks under-measure the...

DMonitor 1.0.3 Outbound Connection / Port Configuration Auditor

This Python script is an outbound connection and port configuration auditor for DMonitor version 1.0.3...

KubeSec V1 Kubernetes Scanner

KubeSec is a Kubernetes security auditing tool designed to identify dangerous RBAC permissions, insecure pod configurations, exposed secrets, privileged workloads, risky host mounts, weak network exposure, and cluster hardening weaknesses across Kubernetes environments. performs automated read-on...

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...

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...

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...

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...

Quantum Resonance Encryption for Secure Data Storage and Communication with Quantum Kicked Top

In a shared quantum computer, how to ensure data privacy and protection from access by unauthorized parties? We propose a genuine quantum protocol for protecting user's data which is not accessible even to the service provider. The protocol is based on quantum kicked top -- the dynamics of a spin...

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...

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...

OpenBMC Denial of Service / Authentication Bypass

OpenBMC suffers from denial of service and authentication bypass vulnerabilities...

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:...

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,...

Apache ActiveMQ Jolokia Security Auditor

This is a security assessment tool for Apache ActiveMQ deployments that expose the Jolokia management interface. It verifies connectivity, evaluates authentication status, retrieves Jolokia agent information, and identifies accessible ActiveMQ broker instances through JMX endpoints...

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...

PyFEX: Uncovering Evasive Python-Based Threats Via Resilient and Exhaustive Path Exploration

The rapid expansion of the Python ecosystem has fueled two distinct but converging threats: adversaries increasingly target the software supply chain via the Python Package Index PyPI, while also building evasive, cross-platform malicious binaries compiled from source code written in Python...

Gate AI: LLM Security Benchmark Evaluation Methodology and Results

Published evaluations of prompt-injection and jailbreak detectors for Large Language Models often suffer from two systematic weaknesses: per-dataset threshold tuning and undisclosed operating points. We describe an evaluation harness that addresses both. The detector under evaluation is scored...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...