filebuster

Filebuster An extremely fast and flexible web fuzzer What is it? Filebuster is a HTTP fuzzer / content discovery script with loads of features and built to be easy to use and fast! It uses one of the fastest HTTP classes in the world of PERL - Furl::HTTP. Also the thread modelling is optimized to...

chain-bench

📖 Documentationdocs Chain-bench is an open-source tool for auditing your software supply chain stack for security compliance based on a new CIS Software Supply Chain benchmark. The auditing focuses on the entire SDLC process, where it can reveal risks from code time into deploy time. To win the...

dynast-bench

DynAST-Bench A DAST benchmark of intentionally-vulnerable apps with ground-truth answer keys for scoring scanners. ⚠️ This repository contains DELIBERATELY INSECURE applications. They exist only to benchmark security tooling - DAST scanners, SAST engines, and LLM security agents. Every app binds t...

csf

ArmourBird CSF - Container Security Framework Note: The CSF Client is under active development and is getting converted into GoLang for better performace and architecture Table of Contents 1. About 2. Architecture Diagram 3. APIs-CSF Server 4. Installation/Usage 5. Building Docker Images 6. Sneak...

AMDH

AMDH Android Mobile Device Hardening written with python3. Android version, PObY-A Privacy Owned by You - Android, with malware and settings scans is available on the Play Store and the source code can be found HERE Motivations AMDH was created to help automate scanning installed applications on...

morty

Morty Web content sanitizer proxy as a service Morty rewrites web pages to exclude malicious HTML tags and attributes. It also replaces external resource references to prevent third party information leaks. The main goal of morty is to provide a result proxy for searx, but it can be used as a...

CUAHarm

Measuring Harmfulness of Computer-Using Agents 🤗 Hugging Face 📄 Paper 📋 Introduction CUAHarm is a benchmark designed to evaluate the safety risks of Computer-Using Agents CUAs - AI agents that can autonomously control computers to perform multi-step actions. Key Features 🔍 CUAHarm Dataset : A...

vulnrepro-benchmark

VulnRepro A benchmark that checks if an AI model can actually review vulnerable code, or if it just sounds confident. Most security benchmarks ask one question: can the model find the bug? That is only half the job. The other half, the part that actually wears you down in real review work, is not...

FinRED-paper

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming IEEE ICDM 2026 A red-team benchmark generation pipeline for safety evaluation in the financial domain. Supplementary Documentation Detailed materials referenced in the paper:...

StepJack

StepJack: Benchmarking Computer-Use Agent Safety Against Multi-Step Indirect Prompt Injection Setup 1. Python Environment Setup First, install all dependencies and ensure you’re running Python 3.10. conda create -n stepjack python=3.10 conda activate stepjack pip install -r requirements.txt 2...

EpiReal-Bench

FALSE CLAIMS, CREDIBLE IMAGES: A RED-TEAMING BENCHMARK FOR COMMERCIAL IMAGE GENERATORS Abstract Image-generation models can now produce text-rich, natural-looking visual artifacts that are hard to distinguish from real-world evidence, such as news reports and textbook pages. Yet, the same...

dns-benchmark-tool

⚠️ this project has moved and is no longer maintained. install the successor: pip install net-benchmark repository: https://github.com/net-benchmark/net-benchmark all existing commands and flags remain fully compatible. DNS Benchmark Tool Part of BuildTools - Network Performance Suite Fast,...

CyberArena: Benchmarking AI Agents in Live Symmetric Attack-And-Defense Combat

AI agents are demonstrating increasingly strong offensive and defensive cybersecurity capabilities in the real world. Current benchmarks mostly evaluate agents in isolation against static targets. Real cyber operations, however, are dynamic and coupled: security postures constantly change as...

terraform-aws-secure-baseline

terraform-aws-secure-baseline Terraform Module Registry Un módulo de Terraform para configurar tu cuenta de AWS con una línea base de seguridad razonablemente segura. La mayoría de las configuraciones se basan en CIS Amazon Web Services Foundations v1.4.0 y AWS Foundational Security Best Practice...

docker-bench-security

Docker Bench for Security Docker Bench for Security es un script que verifica docenas de buenas prácticas comunes en torno al despliegue de contenedores Docker en producción. Todas las pruebas están automatizadas y se basan en el CIS Docker Benchmark v1.6.0. Lo ponemos a disposición como una...

windows_hardening

HardeningKitty e Windows Hardening Introduzione Il progetto è nato come una semplice lista di hardening per Windows 10. Dopo qualche tempo, è stato creato HardeningKitty per semplificare l'hardening di Windows. Ora, HardeningKitty supporta le linee guida di Microsoft, CIS Benchmarks, DoD STIG e B...

agenticmem (>=0.1.4.1, <=0.1.5.0), biomni-bridge (>=0.3.1, <=0.3.3) +27 more potentially affected by CVE-2026-106443 via weasyprint (66.0.0)

weasyprint PYPI version 66.0.0 is affected by a known vulnerability. The following packages have a transitive dependency on weasyprint and may be impacted: - agenticmem =0.1.4.1, =0.3.1, =1.0.1, =0.1.2, =2025.1.0b3, =2026.3.0b2, =1.2.15, =2025.1.0b3, =1.0.3, =0.1.0, =1.59.6rc0, =1.67.5 and more...

[SECURITY] Fedora 45 Update: ocaml-benchmark-1.7-10.fc45

Benchmark provides functions to measure and compare the run-time of functions. It is inspired by the Perl module of the same name...

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

Retrieval-Augmented Generation RAG systems are vulnerable to prompt-injection attacks embedded in retrieved content. We introduce RAG-PIBench, a benchmark for RAG-style prompt-injection detection containing 4,876 contextual examples across frozen train, validation, and protected-test splits. Usin...

Towards a Unified Misuse Monitoring Benchmark

LLM agents increasingly act in multi-actor environments, exposing them to misuse from multiple sources: decomposition attacks, where a harmful request is split into innocuous sub-requests, and prompt injection attacks, where a compromised tool delivers a malicious instruction. Existing evaluation...