Search Results for "malware analysis"
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Showing 15 open source projects for "malware analysis"
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LIEF
LIEF - Library to Instrument Executable Formats (C++, Python, Rust)
LIEF (Library to Instrument Executable Formats) is a cross-platform library that enables parsing, modifying, and abstracting executable formats such as ELF, PE, and Mach-O. It's widely used in reverse engineering and binary analysis. -
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Portable Executable Parser
lightweight Go package to parse, analyze and extract metadata
Saferwall PE is a lightweight Go package for parsing, analyzing, and extracting metadata from Portable Executable (PE) binaries. Designed with malware analysis in mind, it is robust against malformed PE files and provides detailed insights into executable structures. -
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hollows_hunter
Recognizes and dumps a variety of potentially malicious implants
Hollows Hunter is a command-line malware analysis tool based on the PE-sieve passive memory scanner. It scans running processes, or even the full system, to identify potentially malicious implants. The tool can recognize and dump suspicious artifacts such as replaced PEs, injected PEs, shellcode, hooks, and in-memory patches. Unlike PE-sieve’s more process-specific workflow, Hollows Hunter can select targets using broader criteria such as process IDs, process names, or creation time. ... -
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Capstone
Capstone disassembly/disassembler framework
Capstone is a disassembly framework with the target of becoming the ultimate disasm engine for binary analysis and reversing in the security community. Created by Nguyen Anh Quynh, then developed and maintained by a small community, Capstone offers some unparalleled features. Support multiple hardware architectures: ARM, ARM64 (ARMv8), Ethereum VM, M68K, Mips, MOS65XX, PPC, Sparc, SystemZ, TMS320C64X, M680X, XCore and X86 (including X86_64). Having clean/simple/lightweight/intuitive... -
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x64dbg
An open-source x64/x32 debugger for windows
An open-source binary debugger for Windows, aimed at malware analysis and reverse engineering of executables you do not have the source code for. There are many features available and a comprehensive plugin system to add your own. Fully customizable color scheme. Dynamically recognize modules and strings. Import reconstructor integrated (Scylla). Fast disassembler (Zydis). User database (JSON) for comments, labels, bookmarks, etc. -
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HydraDragonAntivirus
Open Source Antivirus/XDR for Windows operating system
Dynamic and static analysis with Real Time Malware Analysis with Antivirus for Windows, including open-source XDR (3 EDR projects), ClamAV, YARA-X, machine learning AI, behavioral analysis, Unpacker, Deobfuscator, Decompiler, website signatures, Ghidra, Suricata, Sigma, Kernel, Hypervisior based protection and much more than you can imagine. -
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url-checker-php-sdk
Official PHP SDK for the EmailVeritas URL Checker API
The EmailVeritas URL Checker PHP SDK provides real-time phishing and malicious link detection through the official EmailVeritas API. It enables developers to classify and analyze URLs directly from PHP applications using simple methods for URL Lookup and URL Scan. Lightweight and dependency-free, the SDK performs redirect-chain, WHOIS, and HTML metadata analysis. Composer support makes integration seamless with PSR-4 autoloading. Ideal for CRMs, contact forms, and security... -
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Volatility
An advanced memory forensics framework
Volatility is a widely used open-source framework for analyzing memory captures (RAM dumps) from Windows, Linux, and macOS systems. It enables investigators and malware analysts to extract process lists, network connections, DLLs, strings, artifacts, and more. Volatility supports many plugins for detecting hidden processes, malware, rootkits, and event tracing. It’s essential in digital forensics and incident response workflows. -
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readpe
The PE file analysis toolkit
readpe (formerly known as pev) is a multiplatform toolkit to work with PE (Portable Executable) binaries. Its main goal is to provide feature-rich tools for properly analyze binaries with a strong focus on suspicious ones. -
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What is DracOS GNU/Linux Remastered ? DracOS GNU/Linux Remastered ( https://github.com/dracos-linux ) is the Linux operating system from Indonesia , open source is built based on Debian live project under the protection of the GNU General Public License v3.0. This operating system is one variant of Linux distributions, which is used to perform security testing (penetration testing). Dracos linux in Arm by hundreds hydraulic pentest, forensics and reverse engineering. Use a GUI-based...
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Dr0p1t-Framework
A framework that create an advanced stealthy dropper
...It also incorporates techniques to avoid forensic analysis, such as self-deletion and cleaning traces after execution. The generated executables are optimized to be small and efficient, improving their ability to bypass security controls. -
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ESSPEE - Penetration Testing & Forensics
(Android Forensics & Malware Analysis Included)
...Thanks to Back Track, Blackbuntu, CAINE and DEFT and many others for inspiration. Being a sole developer to this distro, I wish it would help Open Source community with a better interface for Vulnerability Analysis, Penetration Testing, Malware analysis, Android and Cyber Forensics. I really enjoyed my work for the last three years. Please let me know about bugs and if possible provide solution also. -
13
Access Road
Simulator of access controls
...Access Road provides a full simulation of MySQL Server. This includes the components, the users, the hosts and the privileges at any level. The focus is on IT weak configurations, executing environments (malware analysis) and people authorizations. Reliability and the ability to explain the results are the main objectives. A 80 pages tutorial is provided. A powerful framework allows new simulations to be added. Access Road simulates and explains, combining complete modeling, visual results and detailed texts. -
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Malware Classifier
Perform quick, easy classification of binaries for malware analysis.
Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed... -
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A hardware supported hypervisor originally built for malware analysis. Features: Linux VM introspection, minimal detectability, small (~150KB), simple, and well documented. Can be used for other purposes. Support for Intel-VT & Windows coming soon.
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