Combing through the fuzz: Using fuzzy hashing and deep learning to counter malware detection evasion techniques

Today’s cybersecurity threats continue to find ways to fly and stay under the radar. Cybercriminals use polymorphic malware because a slight change in the binary code or script could allow the said threats to avoid detection by traditional antivirus software. Threat actors customize their wares...

Fedora: Security Advisory for yara (FEDORA-2021-f41d5fc954)

The remote host is missing an update for the Copyright C 2021 Greenbone Networks GmbH Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-or-later This program is free software; you can...

Microsoft researchers work with Intel Labs to explore new deep learning approaches for malware classification

The opportunities for innovative approaches to threat detection through deep learning, a category of algorithms within the larger framework of machine learning, are vast. Microsoft Threat Protection today uses multiple deep learning-based classifiers that detect advanced threats, for example,...

Unprotect Project: Classify Malwares Based on Known Evasion Techniques

PenTestIT RSS Feed One of the first steps in learning about a malware is to see if it is evasive in any sense and then proceed accordingly. The Unprotect Project helps you do this easily. It is an open source project in Python that proposes a malware classification techniques based on their evasi...

Malware Network Communication Provides Better Early Warning Signal

Research is expected to be unveiled today that challenges the industry’s current reliance on dynamic malware analysis as the best means of early detection of infections. Instead, researchers from the Georgia Institute of Technology, the IMDEA Software Institute and EURECOM posit that a better...

[SECURITY] Fedora 24 Update: yara-3.5.0-7.fc24

YARA is a tool aimed at but not limited to helping malware researchers to identify and classify malware samples. With YARA you can create descriptions of malware families or whatever you want to describe based on textual or binary patterns. Each description, a.k.a rule, consists of a set of strin...

Adobe releases open source malware classification tool

Adobe releases open source malware classification tool Adobe Systems has released a malware classification tool in order to help security incident first responders, malware analysts and security researchers more easily identify malicious binary files. The 'Adobe Malware Classifier' tool uses...