Binary instrumentation framework based on FRIDA

DIG is a numerical invariant generation tool. It infers program invariants or properties over (i) program execution traces or (ii) program source code. DIG supports many forms of numerical invariants, including nonlinear equalities, octagonal and interval properties, min/max-plus relations, and congruence relations.

Runtime analysis for Python programs

The Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes the technical processes for verifying the controls listed in the OWASP Mobile Application Security Verification Standard (MASVS).

Assemblyline 4 Malware detonation service (CAPEv2)

OPEM (Open Source PEM Fuel Cell Simulation Tool)

Explore dynamic code analysis in an interpreter for a language that allows on-the-fly customization of syntax rules, small-step operational semantics, and typing. This project facilitates real-time modifications to language interpretation, empowering users to adapt coding experiences according to specific needs.

AutoCorpus is a tool backed by a large language model (LLM) for automatically generating corpus files for fuzzing.

An analysis tool for Python that blurs the line between testing and type systems.

Frida plugin for Binary Ninja

Frida scripts for mobile application dynamic-analysis.

Packj stops ⚡ Solarwinds-, ESLint-, and PyTorch-like attacks by flagging malicious/vulnerable open-source dependencies ("weak links") in your software supply-chain

Did My Code Execute - C/C++ source code level tracer

Assemblyline 4 Malware detonation service (Cuckoo)

Conformance Analysis Tool For Microservice Applications

Elevate your 🐍 code with optimal data structure recommendations from pyggester.

Python antivirus evasion tool

EVM debugger

A Malware which records Key-presses, Clipboard & System Information, Chrome History, Microphone Audio, Gathers File Information, Takes Screenshots & Records Video. It supports data encryption, file transfer, runtime logging and data cleanup. We have a lightweight fused obfuscation framework to evade static and dynamic analysis of anti-malware tools

A malware image dataset based on dynamic analysis and a classification model based on capsule network.