offensive-knowledge
3 resources across 1 kinds
Security models
- In catalog →RedSage-Qwen3-8B-DPOserved herelicence
Qwen3-8B model trained on 11.8B cyber tokens for broad offensive-security knowledge, CLI/tool interpretation, and recon triage.
- Open ↗RedSagedual-use
An open-weight 8B language model specialized for cybersecurity tasks, trained on 11.8B tokens of curated security content and 266k multi-turn security dialogues, distributed on Hugging Face with vLLM deployment support. Ships an accompanying evaluation suite (RedSage-Bench, 30,000+ MCQs) for measuring cybersecurity capability.
- Open ↗Vext-labs-7Bdual-use
An open-weight 7B model built to support autonomous penetration testing: it interprets output from 25+ security tools (nmap, sqlmap, nuclei, Burp, etc.), plans multi-step attack strategies, classifies vulnerabilities, and generates remediation guidance. Apache-2.0, trained on data from authorized engagements against intentionally-vulnerable apps and bug-bounty targets, with documented run/target counts and responsible-use guidelines.