Search Results for "malware detection"
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Showing 13 open source projects for "malware detection"
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AUR Malware Check
Detection tools for the June 2026 atomic-lockfile AUR supply-chain
AUR Malware Check is a community repository for detecting exposure to the June 2026 atomic-lockfile supply-chain attack against the Arch User Repository. It collects scattered indicators, affected package lists, and detection scripts into one place for easier review and contribution. The project helps users compare installed AUR packages against known compromised package lists. -
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LitterBox
A secure sandbox environment for malware developers and red teamers
LitterBox is a controlled malware-analysis and payload-testing sandbox aimed at red teams who need to validate evasions and behaviors before deployment. It provides an isolated environment to exercise payloads against modern detection stacks, verify signatures and heuristics, and observe runtime characteristics without leaking binaries to third-party vendors. The README frames typical use cases: testing evasion, validating detections, analyzing behavior, and keeping sensitive tooling in-house. ... -
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Maltrail
Malicious traffic detection system
Maltrail is a malicious traffic detection system, utilizing publicly available (black)lists containing malicious and/or generally suspicious trails, along with static trails compiled from various AV reports and custom user-defined lists, where trail can be anything from domain name, URL, IP address (e.g. 185.130.5.231 for the known attacker) or HTTP User-Agent header value (e.g. sqlmap for automatic SQL injection and database takeover tool). -
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LSG - Linux SecureGuard
Professional antivirus solution developed for Linux systems.
Professional antivirus solution developed for Linux systems. Protects your Linux servers and desktop systems with real-time protection, network security and advanced threat detection features. -
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5
Blank Grabber
The most powerful stealer written in Python 3
...It should not be used as a normal utility, administration tool, or learning project for general users. The safest way to describe it is as a malware sample for defensive analysis, detection engineering, and awareness of common stealer techniques. It is no longer actively maintained in the original repository. -
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PyExfil
A Python Package for Data Exfiltration
...In my eyes it’s still a messy PoC that needs a lot more work and testing to become stable. The purpose of PyExfil is to set as many exfiltrations, and now also communication, techniques that CAN be used by various threat actors/malware around to bypass various detection and mitigation tools and techniques. You can track changes at the official GitHub page. Putting it simply, it’s meant to be used as a testing tool rather than an actual Red Teaming tool. Although most techniques and methods should be easily ported and compiled to various operating systems, some stable some experimental, the transmission mechanism should be stable on all techniques. ... -
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Dr0p1t-Framework
A framework that create an advanced stealthy dropper
Dr0p1t-Framework is a penetration testing tool designed to generate advanced and stealthy droppers capable of delivering and executing payloads on target systems while evading detection mechanisms. A dropper is a type of malware used to download and install additional malicious software, and this framework focuses on making that process more flexible and difficult to detect. It provides a wide range of modules that allow users to customize payload delivery, persistence mechanisms, and execution methods. The framework includes features such as antivirus evasion, privilege escalation, and system persistence, enabling it to maintain access on compromised systems. ... -
8
M0Droid
A malware detection technique
This is an Android malware detection technique based on system call extraction. The code is written with Python 2.7 and require Android SDK to launch virtual Android device and communicate with it. This program uses correlation coefficient to compare the signature of the app with the dataset (blacklist). -
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Titan
Low Overhead and Multi-faceted Network Fingerprinting of a Bot
Botnets are an evolutionary form of malware, unique in requiring network connectivity for herding by a botmaster that allows coordinated attacks as well as dynamic evasion from detection. Thus, the most interesting features of a bot relate to its rapidly evolving network behavior. The few academic and commercial malware observation systems that exist, however, are either proprietary or have large cost and management overhead. -
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Botnet Detectors Comparer
Compares botnet detection methods
Compares botnet detection methods by computing the error metrics by reading the labels on a NetFlow file. The original NetFlow should have a new column for the ground-truth label, and a new column with the prediction label for each botnet detection method. This program computes all the error metrics (TPR, TNR, FPR, FNR, Precision, Accuracy, ErrorRate, FMeasure1, FMeasure2, FMeasure0.5) and output the comparison results. It also ouputs a png plot. The program can compare in a... -
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BUP Extractor
Unpack quarantined files from McAfee AV
McAfee VirusScan 8.7/8.8 packs and XORs malware to prevent the system from being re-infected and being re-detected by future AV scans. This tool is built using Python and extracts the malware into a folder with the information about the detection. -
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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.” ... -
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Hosting exploit/backdoor detection daemon.It's written in python , and uses inotify (pyinotify) to monitor file system activity.It checks files smaller then some size,compares their md5sum and hex signatures against DBs with known exploits/backdoor.
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