Tsunami is a general purpose network security scanner with an extensible plugin system for detecting high severity vulnerabilities with high confidence.
OWASP dependency-check is a software composition analysis utility that detects publicly disclosed vulnerabilities in application dependencies.
AIMSICD • Fight IMSI-Catcher, StingRay and silent SMS!
Dependency-Track is an intelligent Component Analysis platform that allows organizations to identify and reduce risk in the software supply chain.
The Apache Tika toolkit detects and extracts metadata and text from over a thousand different file types (such as PPT, XLS, and PDF).
State-of-the-Art Source Code Plagiarism & Collusion Detection. Check for plagiarism in a set of programs.
WiFi, Bluetooth and Ethernet Threat Detection.
Java agent to detect blocking calls from non-blocking threads.
A self-hosted, privacy-first location timeline platform: an open-source alternative to Google Timeline with automatic trip detection, Immich integration, and rich analytics.
Android on_device Face Recognition 、 Liveness detection and 1:N & M:N Face Search SDK 端侧可离线人脸识别 活体检测 以及1:N M:N 人脸搜索SDK
OWASP Benchmark is a test suite designed to verify the speed and accuracy of software vulnerability detection tools. A fully runnable web app written in Java, it supports analysis by Static (SAST), Dynamic (DAST), and Runtime (IAST) tools that support Java. The idea is that since it is fully runnable and all the vulnerabilities are actually exploitable, it’s a fair test for any kind of vulnerability detection tool. For more details on this project, please see the OWASP Benchmark Project home page.
Hardware-based attestation and intrusion detection app for Android. It provides both local verification with another Android device via QR codes and optional scheduled server-based verification with support for alert emails. It uses hardware-backed keys and attestation support as the foundation and chains trust to the app for software checks.
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Identifies and prioritizes Class and Package Cycles and Anti-pattens in Java & Kotlin codebases you should refactor first.
Java PDF table extraction & OCR library. Extract structured tables from text-based and scanned PDFs using stream, lattice (OpenCV-style grid detection), and hybrid parsing.
Build visual detection tasks fast with an open-source platform. Connect cameras, video streams, and heterogeneous vision models; define algorithms with prompts; configure frame sampling and detection regions; and manage alerts. Everything you need to put visual AI to work, in one place.
Burp Suite extension to find hardcoded secrets & hidden endpoints in JavaScript. 150+ detection patterns, active JS fetch, low-noise false-positive filter. Part of TrinetLayer.