jbxapi

Malware analysis tool

Provides an API wrapper to interact with the Joe Sandbox API for analyzing malicious files.

Python API wrapper for the Joe Sandbox API.

GitHub

64 stars
10 watching
24 forks
Language: Python
last commit: 10 months ago

Related projects:

Repository Description Stars
inquest/sandboxapi An API to integrate with various malware sandboxes for analysis and scoring 138
joesecurity/pafishmacro An Office document designed to test and analyze malware detection systems 278
joxeankoret/pyew A command-line tool for analyzing malware and disassembling binary files 386
rurik/java_idx_parser Analyzes the structure and content of Java Cache IDX files to extract relevant information about malware origins and infection vectors. 39
svdwi/bluebox Analyzes and enriches threat intelligence data from various sources to help detect malicious files, URLs, and domains. 39
hynekpetrak/malware-jail Sandbox for analyzing and understanding JavaScript malware 465
diogo-fernan/malsub A Python framework that provides an API interface to multiple online services for analyzing malware and threat intelligence 368
securityjoes/askjoe A tool that utilizes OpenAI to assist researchers in reverse engineering malware using Ghidra 121
jpcertcc/aa-tools A collection of tools and scripts for analyzing malware, reverse engineering malware, and decrypting encrypted data 455
areizen/android-malware-sandbox A tool designed to analyze and sandbox Android malware by injecting hooks into the application's behavior. 281
pjrinaldi/wombatforensics A multi-threaded GUI forensic analysis tool for Linux 48
13o-bbr-bbq/machine_learning_security An open-source project that explores the intersection of machine learning and security to develop tools for detecting vulnerabilities in web applications. 1,987
uqcyber/coldpress Automates malware analysis workflow by extracting features and indicators of compromise from malicious files using various tools and libraries. 16
detuxsandbox/detux Analyzes and captures malware traffic on Linux sandboxed environments using QEMU hypervisor and various CPU architectures. 261
joey711/shiny-phyloseq An interactive web application for analyzing microbiome census data 60