Canadian Centre for Cyber Security CCCS YARA Specification
The CCCS YARA Specification defines and validates the style and format of YARA rule metadata, allowing for automatic validation and generation of metadata, including unique id, rule fingerprint, and actor enrichment from ATT&CK. It also includes fields specific to the MITRE ATT&CK framework to identify techniques and universal threat groups, supporting tools like AssemblyLine and vscode-yara.
FEATURES
ALTERNATIVES
Collection of Python scripts for automating tasks and enhancing IDA Pro functionality
A tool to locally check for signs of a rootkit with various checks and tests.
Blazingly fast Yara queries for malware analysts with an analyst-friendly web GUI.
Multi-cloud antivirus scanning API with CLAMAV and YARA support for AWS S3, Azure Blob Storage, and GCP Cloud Storage.
A malware/botnet analysis framework with a focus on network analysis and process comparison.
A binary analysis and management framework for organizing and analyzing malware and exploit samples, and creating plugins.
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Fabric Platform by BlackStork
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Wiz
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
RoboShadow
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Adversa AI
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.