A fine-tuned version of Mistral-7B-Instruct-v0.1 by Phishers of Men, optimized for security research and ethical hacking contexts.
Model Description
Phishstral is a 7B parameter language model fine-tuned with LoRA adapters on a curated dataset combining Python code, OpenHermes instruction data, and security-focused content. It is designed to assist security researchers, penetration testers, and CTF players with technical tasks where general-purpose models apply excessive filtering that impedes legitimate research workflows.
The model has reduced safety filtering compared to the base model in security research contexts, allowing it to discuss offensive security techniques, vulnerability classes, and related tooling more freely than standard instruction-tuned models.
Intended Use
Intended users:
Security researchers
Penetration testers
CTF (Capture the Flag) participants
Ethical hackers and red teamers
Students learning offensive security
Intended use cases:
Explaining vulnerability classes and exploitation techniques
Writing and reviewing security-relevant Python code
Assisting with CTF challenges
Generating payloads and proof-of-concept code for authorized testing
General-purpose instruction following with a security mindset
Training Details
Property
Value
Base model
mistralai/Mistral-7B-Instruct-v0.1
Fine-tuning method
LoRA (via Unsloth)
Training data
Python code, OpenHermes 2.5, security research data
Merged
Yes (full weights, not adapter-only)
Prompt Format
Phishstral uses the standard Mistral instruct format:
