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نماذج الذكاء الاصطناعي للأمن الهجومي: نماذج LLMs للأمن السيبراني غير الخاضعة للرقابة

Hacker News •
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A curated list of open-weight, uncensored AI models designed for authorized red teaming, penetration testing, and security research. All entries are sourced from Hugging Face model cards and official publications as of September 2026. The repository provides technical specifications, training methodologies, and download links for each model.

The collection includes Deep Hat V2 (White Rabbit Neo), a 7B/32B model trained on 1.7M security samples from USENIX Security 2024. Bug Trace AI-CORE-Apex (26B) and Bug Trace AI-CORE-Ultra (27B) leverage Hacker One data and CVE disclosures for offensive tooling generation. CYBER-FROST-3.8 (Blackfrost-AI) offers ~180B parameters with multi-GPU support and proprietary security corpus training.

Defensive-focused options include Cyber Pal 2.0 (20B) for CTI and SOC workflows, and Cyber-Prime 1.1 (2.6B) with RL-guided post-training on 75K cybersecurity rows. Cyber-Ornith-1.5-9B (Duo Neural) specializes in agentic cybersecurity with function-calling and terminal automation. All models specify VRAM requirements, context lengths, licenses, and Hugging Face download URLs.