jadx-magic-strings

JADX Magic Strings Plugin A JADX plugin that extracts information from string constants. Features The plugin extracts and analyzes string constants from decompiled code to find: 1. Source File References : Detects references to Java/Kotlin source files .java, .kt, .kts, .scala, .groovy in string...

Gepetto

Gepetto Gepetto is a Python plugin which uses various large language models to provide meaning to functions decompiled by IDA Pro ≥ 7.6. It can leverage them to explain what a function does, and to automatically rename its variables. Here is a simple example of what results it can provide in mere...

zip4j

zip4j This repository contains decompiled source code for the zip4j library versions 1.3.2 vulnerable and 1.3.3 fixed for CVE-2018-1002202, for the CWE-Bench-Java dataset. The original zip4j repository on Github doesn't include code from these versions. Versions Version 1.3.2 Vulnerable Tag : 1.3...

jadx-magic-strings v1.0.3-dev

JADX Magic Strings Plugin A JADX plugin that extracts information from string constants. Features The plugin extracts and analyzes string constants from decompiled code to find: 1. Source File References : Detects references to Java/Kotlin source files .java, .kt, .kts, .scala, .groovy in string...

REFORGE: A Method for Benchmarking LLMs' Reverse Engineering Capabilities in Decompiled Binary Function Naming

Large language models LLMs are increasingly applied to reverse-engineering tasks, and recent threat-intelligence reporting shows them operating inside live offensive-security workflows. Claims about their capability, however, outpace our ability to measure it. Existing benchmarks for LLM-assisted...

PT-2026-48876

Name of the Vulnerable Software and Affected Versions Yarbo Android and iOS applications affected versions not specified Description The Android and iOS applications contain hard-coded MQTT broker credentials that are identical across all users and devices. These credentials, embedded in the...

Veritas: A Semantically Grounded Agentic Framework for Memory Corruption Vulnerability Detection in Binaries

Detecting memory corruption vulnerabilities in stripped binaries requires recovering object semantics, interprocedural propagation, and feasible triggers from low-level, lossy representations. Recent LLM-based approaches improve code understanding, but reliable detection still requires grounding ...

LLM-and-MCP

Detection and Exploitation of Vulnerabilities in Android Appli...

atool

ATOOL - Android Static Analysis & Exploit Scanner v1.0 !Pyth...

EUVD-2024-52028

Malicious code in bioql PyPI...

CVE-2025-59406

The Flock Safety Pisco application (com.flocksafety.android.pisco ) version 6.21.11 for Android contains a cleartext Auth0 client secret embedded directly in its codebase. This application is installed on Falcon and Sparrow License Plate Readers and Bravo Edge AI Compute Devices . Due to the ease...

CVE-2024-53683

A valid set of credentials in a .js file and a static token for communication were obtained from the decompiled IPA. An attacker could use the information to disrupt normal use of the application by changing the translation files and thus weaken the integrity of normal use...

ReCopilot: Reverse Engineering Copilot in Binary Analysis

Binary analysis plays a pivotal role in security domains such as malware detection and vulnerability discovery, yet it remains labor-intensive and heavily reliant on expert knowledge. General-purpose large language models LLMs perform well in programming analysis on source code, while...

Simple macOS kernel extension fuzzing in userspace with IDA and TinyInst

Posted by Ivan Fratric, Google Project Zero Recently, one of the projects I was involved in had to do with video decoding on Apple platforms, specifically AV1 decoding. On Apple devices that support AV1 video format starting from Apple A17 iOS / M3 macOS, decoding is done in hardware. However,...

IoC detection experiments with ChatGPT

ChatGPT is a groundbreaking chatbot powered by the neural network-based language model text-davinci-003 and trained on a large dataset of text from the Internet. It is capable of generating human-like text in a wide range of styles and formats. ChatGPT can be fine-tuned for specific tasks, such a...

CVE-2020-35587

In Solstice Pod before 3.0.3, the firmware can easily be decompiled/disassembled. The decompiled/disassembled files contain non-obfuscated code. NOTE: it is unclear whether lack of obfuscation is directly associated with a negative impact, or instead only facilitates an attack technique...

CVE-2020-35587

In Solstice Pod before 3.0.3, the firmware can easily be decompiled/disassembled. The decompiled/disassembled files contain non-obfuscated code. NOTE: it is unclear whether lack of obfuscation is directly associated with a negative impact, or instead only facilitates an attack technique...

CVE-2020-35587

Affected product: Solstice Pod firmware. Vulnerability: decompilation/disassembly yields non-obfuscated code in versions prior to 3.0.3; root cause and exact impact of lack of obfuscation are not explicitly quantified in the provided docs. Impact: not clearly stated beyond the presence of non-obf...

lem bracelet health APP has information leakage vulnerability

lem bracelet health APP is a smart bracelet information management APP produced by Shenzhen Lingmeng Technology Co. There is an information leakage vulnerability in lem bracelet health APP, an attacker can decompile the APK file of the APP and utilize the vulnerability to obtain the logic and...

CVE-2018-14581

Redgate .NET Reflector before 10.0.7.774 and SmartAssembly before 6.12.5 allow attackers to execute code by decompiling a compiled .NET object such as a DLL or EXE file with a specific embedded resource file...