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ISF (Industrial Exploitation Framework) - An exploitation framework for industrial systems with various ICS protocol clients and exploit modules.
A tool for advanced HTTPD logfile security analysis and forensics, implementing various techniques to detect attacks against web applications.
Modular framework for web services penetration testing with support for various attacks.
A service for better visibility on networking issues in Kubernetes clusters by detecting traffic denied by iptables.
A suite of tools for Wi-Fi network security assessment and penetration testing.
A new approach to computer network defense that leverages knowledge about advanced persistent threats, using a kill chain model to describe phases of intrusions and map adversary kill chain indicators to defender courses of action.
Small script to simplify format string exploitation.
A community-sourced repository of digital forensic artifacts in YAML format.
A community-driven public malware repository providing access to malware samples, tools, and resources for the cybersecurity community.
AWS account compliance using centrally managed Config Rules
Cloud Custodian (c7n) is a rules engine for managing public cloud accounts and resources with a focus on security, compliance, and cost optimization.
Online Java decompiler tool with support for modern Java features.
A tool for signature analysis of RTF files to detect potentially unique parts and malicious documents.
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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.
Free
Security Operations
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Blogs and News
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.
Commercial
Cloud Security
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.
Commercial
AI Security