Cyber Intelligence Brain is a large language model specifically fine-tuned for Capture the Flag (CTF) challenges and network security tasks. It is based on the Llama-3.1-8B-Instruct architecture and can assist in solving CTF problems, analyzing security vulnerabilities, conducting reverse engineering and cryptography challenges, and providing vulnerability exploitation reasoning while adhering to ethical guidelines.

Natural Language ProcessingSafetensorsMultiple Languages

This is a specialized cybersecurity version fine-tuned from the Unsloth-based DeepSeek-R1-Distill-Llama-8B model, focusing on generating and understanding network security-related content and providing support for tasks such as threat intelligence summarization and vulnerability analysis.

Natural Language ProcessingTransformersEnglish

An 8B cybersecurity large language model fused via Mergekit, combining security expertise with multilingual capabilities

Natural Language ProcessingTransformers

Foundation-Sec-8B is an 8-billion-parameter foundational language model specifically designed for cybersecurity, based on the Llama-3.1-8B extension, suitable for security scenarios such as threat detection and vulnerability assessment.

Natural Language ProcessingTransformersEnglish

A security-focused large language model fine-tuned by Alican Kiraz based on Qwen QwQ-32B, specializing in cybersecurity-related tasks

Natural Language ProcessingGgufOther

The world's first open-source large model for cybersecurity, specifically designed for cybersecurity scenarios, integrating core capabilities such as natural language understanding, code generation, and security knowledge reasoning.

Natural Language ProcessingSafetensorsChinese

BaronLLM is a large language model fine-tuned for offensive cybersecurity research and adversarial simulation, which can provide structured guidance, vulnerability reasoning, and red team scenario generation while implementing security constraints.

Natural Language ProcessingTransformersEnglish

A cybersecurity-focused code generation model fine-tuned on Qwen2.5-Coder-7B, specializing in attack-defense security scenarios

Natural Language ProcessingTransformersMultiple Languages

TTPXHunter is an NLP model specifically designed to automatically extract Tactics, Techniques, and Procedures (TTPs) from unstructured cybersecurity reports. It identifies adversary behaviors based on the MITRE ATT&CK framework and ensures high-precision extraction through confidence threshold filtering, providing actionable threat intelligence for security teams.

Natural Language ProcessingTransformersEnglish

WhiteRabbitNeo is an AI model series focused on the cybersecurity field, designed for offensive and defensive security testing and vulnerability analysis.

Natural Language ProcessingTransformers

WhiteRabbitNeo is an AI model series focused on cybersecurity, with the 33B version demonstrating its capabilities in offensive and defensive security and assessing social impact.

Natural Language ProcessingTransformers

ZySec-7B is an AI cybersecurity model designed for security professionals, developed based on the Zephyr language model series, providing expert-level guidance on cybersecurity issues.

Natural Language ProcessingTransformers

SecGPT is the world's first open-source large-scale cybersecurity model launched by Clouditera, specifically designed for cybersecurity scenarios. It integrates capabilities such as natural language understanding, code generation, and security knowledge reasoning to comprehensively enhance security protection efficiency and effectiveness.

Natural Language ProcessingTransformersMultiple Languages

A SecureBERT fine-tuned named entity recognition model for the cybersecurity domain, used to identify security entities such as malware and attack organizations

Natural Language ProcessingTransformersEnglish