Open Source Antivirus Software

Mirrors: * https://bitbucket.org/pxb1988/dex2jar * https://github.com/pxb1988/dex2jar dex2jar contains following compment * dex-reader is designed to read the Dalvik Executable (.dex/.odex) format. It has a light weight API similar with ASM. * dex-translator is designed to do the convert job. It reads the dex instruction to dex-ir format, after some optimize, convert to ASM format. * dex-ir used by dex-translator, is designed to represent the dex instruction dex-tools tools to work with .class files. * d2j-smali disassemble dex to smali files and assemble dex from smali files. different implementation to smali/baksmali, same syntax, but we support escape in type desc "Lcom/dex2jar\t\u1234;" * dex-writer write dex same way as dex-reader.

Dynamic and static analysis with Sandboxie for Windows, including EDR, ClamAV, YARA-X, custom machine learning AI, behavioral analysis, NLP-based detection, website signatures, Ghidra, Suricata, Sigma, and much more than you can imagine

PHP ClamAV - ClamAV Interface for PHP5 Scripts PHP-ClamAV is a PHP5 extension that allows to incorporate virus scanning features on your PHP5 scripts. It uses the Clam AV API for virus scanning.

Clam AntiVirus Client Library provides a simple API to the ClamAV daemon. ClamAVC does not require ClamAV to be installed. ClamAVC communicates with clamd using clamd's documented protocol using either TCP or a local Unix domain socket.

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 using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs. The tool extracts seven key features from an unknown binary, feeds them to one of the four classifiers or all of them, and presents its classification of the unknown binary.

This project is intended for generating a series of patches for the current version of QEMU to counter anti-detection and anti-debugging technics.

Clam4j is designed to be a java wrapper around ClamAV. Clam4j allows you to scan for viruses in java programs by providing a simple java interface which sends the data to clamd for scanning. The results of the scan are returned to the caller via a response object.

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