Search Results for "software development"
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Showing 9 open source projects for "software development"
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HydraDragonAntivirus
Dynamic and static analysis with Sandboxie for Windows, including EDR
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 -
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clam4j
A java wrapper for clamd
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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dex2jar
Tools to work with android .dex and java .class files
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... -
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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.
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The Live Malicious Software Removal Tool project is a set of Python scripts in a Debian based live environment with the goal of making virus removal easy for users. The following are minimum requirements: 1. Computer with mouse/keyboard/monitor/DVD drive. 2. Internet connectivity(optional) for antivirus updates. 3. Minimum of 2GB of RAM. 4. Hard disk with one of the following file systems; NTFS/FAT/EXT2/EXT3/EXT4.
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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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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.
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This project is intended for generating a series of patches for the current version of QEMU to counter anti-detection and anti-debugging technics.
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