Inlyse
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 blog post discussing INF-SCT fetch and execute techniques for bypass, evasion, and persistence
Java code implementing the AutoYara algorithm for automatic Yara rule generation from input samples.
Multi-cloud antivirus scanning API with CLAMAV and YARA support for AWS S3, Azure Blob Storage, and GCP Cloud Storage.
A Python script that finds endpoints in JavaScript files to identify potential security vulnerabilities.
angr is a Python 3 library for binary analysis with various capabilities like symbolic execution and decompilation.
A framework for reverse engineering Flutter apps with modified Flutter library for dynamic analysis and traffic monitoring.
A wordlist to bruteforce for Local File Inclusion (LFI) vulnerabilities
A PowerShell module for interacting with VirusTotal to analyze suspicious files and URLs.
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