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Showing posts with label Malware Classifier. Show all posts
Showing posts with label Malware Classifier. Show all posts

Softavir - Antivirus for Windows based on Whitelists


SoftAvir is a security tool that ensures complete protection for your computer by creating a whitelist. The user select the only programs that can be run avoiding in this way the execution of any other unwanted program.

How does it work?

Softavir is the first antimalware solution that relies operation in advanced cryptographic whitelisting technology.

After installed, the user must add the programs that can be run. Softavir will not allow the execution of any program that has not been added to the list (including viruses, tojans and other malware).

Who is it for?

Softavir is recommended to Microsoft Windows users. The current version is compatible with Microsoft Windows x86 operating systems. Soon will come out a version for Microsoft Windows x64 operating systems.

Main advantages:

  • 100% protection against new threats.
  • Does not require updates.
  • Improved software management.
  • Easy maintenance of your equipment.
  • Avoids the need of regular formatting.

[Malware Classifier] Malware Analysis Tool


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.