A major cyberattack by Ukrainian hackers on Gazprom has resulted in severe data loss and operational disruptions within the Russian energy sector.

Around 165 terabytes of the company’s critical data was wiped out in a major Ukrainian cyberstrike.

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A new open-source project called CyberStrike is positioning itself as the first AI agent built specifically for offensive security, turning any existing Claude, GPT, or LLM subscription into an autonomous red-team operator. Rather than functioning as a simple chatbot wrapper, CyberStrike installs as a terminal-based tool that handles reconnaissance, vulnerability discovery, exploitation, and reporting without constant human prompting, making it relevant for penetration testers, bug bounty hunters, and security teams looking to scale their assessments. Getting started requires a single command, npm i -g @cyberstrike-io/cyberstrike@latest && cyberstrike , which launches a terminal interface that asks for an LLM provider and API key on first run. The real innovation lies in what the developers call the intelligence layer, a system that injects OWASP testing methodology, vulnerability patterns, and attack-chain reasoning into every model interaction. This means the underlying AI does not need built-in security knowledge; CyberStrike supplies it through schema normalization, context guarding, provider auto-detection, and intelligent tool orchestration. The platform supports over 150 AI providers and 5,300 models, including Anthropic, OpenAI, Google, Amazon Bedrock, Azure, and fully offline options like Ollama and LM Studio for air-gapped environments. CyberStrike AI-Powered Security Platform CyberStrike ships with 13 or more domain-specific agents, including dedicated modules for web applications following OWASP WSTG methodology, mobile testing aligned with MASTG and MASVS, cloud security built around CIS benchmarks, and internal network testing covering Active Directory and lateral movement. Supporting these agents are more than 7,600 Ed25519-signed security skill files covering attack methodologies such as JWT abuse, SSRF, SSTI, and GraphQL exploitation, alongside post-exploitation techniques for AWS, Azure, Kubernetes, Windows, and macOS. A standout feature is the built-in Chromium browser called HackBrowser, which captures live HTTP traffic as testers browse a target manually or crawl it autonomously with multiple credentials. This traffic feeds eight parallel proxy sub-testers that check for issues like IDOR , authorization bypass, mass assignment, and business logic flaws, each using a three-gate confirmation protocol to avoid false positives. The platform’s Bolt component allows security tools to run on remote servers rather than a local laptop, using Ed25519 key pairing to coordinate multiple toolkits and attack surfaces from one terminal. CyberStrike also integrates with an MCP ecosystem offering 176 additional tools across cloud auditing, GitHub security posture, CVE intelligence, and OSINT reconnaissance, plus a web interface accessible remotely through Cloudflare Tunnel with zero open ports and end-to-end encryption. CyberStrike is released under the AGPL-3.0 license, free for personal and open-source use, with commercial licensing available for enterprise deployment. Installation options span npm, Homebrew, Scoop, and a direct curl script, making setup accessible across macOS, Windows, and Linux environments. The project explicitly states it is intended for authorized security testing only, aligning with its published ethical use policy and code of conduct as it opens itself to community contributions across agents, skills, and MCP servers .  Strengthen Your SOC by Accelerating Threat Detection & Rapid Investigations. ->  Integrate ANY.RUN With Your SOC  Now . The post CyberStrike – AI-Powered Security Platform for Automated Penetration Testing appeared first on Cyber Security News .