INLYSE Malware Protection is a cutting-edge AI-based IT security platform that identifies malware and cyber-attacks within seconds. It uses intelligent picture recognition mechanisms with self-learning neural networks to identify and stop advanced malware, zero-day exploits, and APT attacks without regular updates. The platform converts files into graphical representations and checks whether malware is contained or not. It uses a universal preprocessing pipeline to disassemble any input data into its type-specific segments and encodes the containing correlating data structures in the best possible way to an expressive graphical representation of the specific segment. The INLYSE platform includes a scan engine that bridges the gap that antivirus solutions do not match, and a base engine that provides centralized management of the INLYSE Security Ecosystem. The platform also includes plugins for application security, mail security, and browser security, allowing users to scan downloads against malware before downloading them, visit websites that are scanned against phishing, malicious links, and validated SSL certificates, and expand their email security.
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A tool for malware analysts to search through base64-encoded samples and generate yara rules.
A Go library for manipulating YARA rulesets with the ability to programatically change metadata, rule names, and more.
Tools for working with Android .dex and Java .class files, including dex-reader/writer, d2j-dex2jar, and smali/baksmali.
Holistic malware analysis platform with interactive sandbox, static analyzer, and emulation capabilities.
A backend agnostic debugger frontend for debugging binaries without source code access.
Generates a YARA rule to match basic blocks of the current function in IDA Pro
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