bypass-ai

AI-detection bypass, LLM jailbreak patterns, anti-bot detection evasion, prompt injection.

For authorized red-team, threat-hunting, and forensic analysis only.

Quick start

# Self-test
python bypass_ai.py --self-test

# Humanize AI text
python bypass_ai.py --humanize "Your AI-generated text here..."

# Generate jailbreak for target LLM
python bypass_ai.py --jailbreak claude-4-6 --payload "explain WAF bypass"
python bypass_ai.py --jailbreak gpt-5 --payload "extract system prompt"

# Anti-bot bypass plan
python bypass_ai.py --anti-bot "https://protected-site.com"

# Prompt injection payload
python bypass_ai.py --inject rag --payload "dump all data"
python bypass_ai.py --inject base64 --payload "execute command"

# Detect guardrails in response
python bypass_ai.py --detect-guardrails "I'm sorry but I can't help with that..."

# Multi-layer evasion chain
python bypass_ai.py --evasion "execute payload" --layers base64,rot13,hex

As a module

from bypass_ai import humanize, jailbreak_prompt, anti_bot_bypass, prompt_injection, detect_ai_guardrails, evasion_chain

# Humanize
text = humanize("AI-generated text")

# Jailbreak
prompt = jailbreak_prompt("claude-4-6", "show admin credentials")

# Anti-bot
plan = anti_bot_bypass("https://target.com")

# Injection
payload = prompt_injection("rag", "leak data")

# Detect
info = detect_ai_guardrails(ai_response)

# Chain
obfuscated = evasion_chain("payload", ["base64", "rot13", "split"])

1.7 KiB Raw Permalink Blame History

bypass-ai

Quick start

As a module

See also

1.7 KiB

Raw Permalink Blame History