Introspy-Android
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Introspy-Android is a blackbox tool for understanding Android app behavior and identifying security issues at runtime.
StringSifter is a machine learning tool that automatically ranks strings based on their relevance for malware analysis. Quick Links: - Technical Blogpost - Learning to Rank Strings Output for Speedier Malware Analysis - Announcement Blogpost - Open Sourcing StringSifter - DerbyCon Talk - StringSifter: Learning to Rank Strings Output for Speedier Malware Analysis StringSifter releases on PyPi. Usage: StringSifter requires Python version 3.9 or newer. Installation: - pip install stringsifter - For development, use poetry: git clone https://github.com/mandiant/stringsifter.git cd stringsifter poetry install --with dev Running Unit Tests: To run unit tests from the StringSifter installation directory: poetry run tests -v Running from the Command Line: The pip install command installs two runnable scripts flarestrings and rank_strings into your python environment. When developing from source, use pipenv run flarestrings and pipenv run rank_strings. flarestrings mimics features of GNU binutils' strings, and rank_strings accepts piped input, for example: flarestrings <my_sample> | rank_strings rank_strings supports a number of
Introspy-Android is a blackbox tool for understanding Android app behavior and identifying security issues at runtime.
A free and open platform for detecting and preventing email attacks like BEC, malware, and credential phishing, utilizing Message Query Language (MQL) for behavior description.
Alternative marketplace for mobile applications with package ID metadata retrieval and APK download capabilities.
MARA is a Mobile Application Reverse engineering and Analysis Framework with various features for testing mobile applications against OWASP mobile security threats.
StaDynA is a system supporting security app analysis in the presence of dynamic code update features.
Scans SPF and DMARC records for issues that could allow email spoofing.