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import re
from typing import Dict, List, Tuple
def check_prompt_injection(message: str) -> Dict[str, any]:
"""
Checks if the message contains a prompt injection attempt.
Note: This function expects English text. If the model receives a message in another
language, it should translate it to English before calling this function.
Args:
message (str): The message to check (should be in English).
Returns:
Dict: A dictionary containing detection results with risk level and details.
"""
if not message or not isinstance(message, str):
return {
"is_injection": False,
"risk_level": "none",
"confidence": 0.0,
"detected_patterns": [],
"risk_score": 0,
"message": "No valid input to analyze"
}
message_lower = message.lower().strip()
risk_score = 0
detected_patterns = []
suspicious_chars = {
'{}': 2,
'><': 1,
'&': 1,
'%': 1,
'$': 2,
'#': 1,
'|': 2,
';': 3,
'`': 3,
'\\': 2,
}
char_score = 0
found_chars = []
for char, weight in suspicious_chars.items():
if char in message:
char_score += weight * message.count(char)
found_chars.append(char)
if char_score > 3:
risk_score += min(char_score, 10)
detected_patterns.append(f"Suspicious characters: {', '.join(found_chars)}")
# Prompt injection patterns
injection_patterns = [
# Direct instruction attempts
(r'\b(ignore|disregard|forget|skip)\s+(all\s+)?(previous|prior|above|earlier|past)\s+(instructions?|prompts?|rules?|commands?|directives?)', 9),
(r'\b(system|assistant|ai|bot):\s*', 6),
(r'\b(you\s+are\s+now|from\s+now\s+on|starting\s+now|new\s+instructions?)', 8),
(r'\b(act\s+as|pretend\s+to\s+be|roleplay\s+as|behave\s+like|simulate\s+being)', 6),
# System manipulation
(r'\[system\]|\[user\]|\[assistant\]|\[human\]', 8),
(r'<\s*(system|user|assistant|human)\s*>', 8),
(r'\b(override|bypass|circumvent|disable|turn\s+off)\s+(security|safety|guidelines|restrictions|filters)', 10),
(r'\b(jailbreak|break\s+free|escape\s+from|break\s+out)', 9),
# Data extraction attempts
(r'\b(repeat|echo|print|output|display|show|reveal)\s+(your|the)\s+(instructions?|prompts?|system\s+message|guidelines|rules)', 8),
(r'\b(what\s+(are\s+)?your|tell\s+me\s+your|give\s+me\s+your)\s+(instructions?|prompts?|guidelines|rules|system\s+message)', 7),
(r'\b(show\s+me|reveal|display|expose)\s+(your\s+)?(source|code|prompt|instructions?|system)', 7),
# Mode changes
(r'\b(developer|debug|admin|god|root|sudo)\s+mode', 8),
(r'\b(unrestricted|unlimited|uncensored|unfiltered)\s+(mode|access|version)', 8),
(r'\b(enable|activate|turn\s+on)\s+(developer|debug|admin)\s+mode', 9),
# Character breaking
(r'\b(break\s+character|step\s+out\s+of\s+character|ignore\s+your\s+role)', 7),
(r'\b(stop\s+being|quit\s+being|cease\s+being)\s+(an\s+)?(assistant|ai|bot)', 7),
# Social engineering
(r'\b(emergency|urgent|critical|important):\s*(ignore|override|bypass)', 6),
(r'\b(i\s+am\s+(your\s+)?(developer|creator|owner|admin|boss))', 5),
(r'\b(this\s+is\s+a\s+(test|drill|simulation|experiment))', 4),
(r'\b(for\s+research\s+purposes|educational\s+purposes)\s*(ignore|bypass)', 5),
# MCP/Tool specific
(r'\b(call|invoke|execute|use|run)\s+(tool|function|mcp|command)\s+(without|bypass|ignore|skip)\s+(safety|security|validation|checks?)', 9),
(r'\b(mcp|tool|function)\s+(override|bypass|ignore|disable)', 8),
(r'\b(raw|direct|unfiltered|unsafe)\s+(tool|mcp|function|command)\s+(access|call|execution)', 8),
(r'\b(disable|turn\s+off|deactivate|skip)\s+(safety|security|validation|filtering|checks?)', 9),
# Advanced manipulation
(r'\b(modify|change|alter|update)\s+(your\s+)?(behavior|instructions|guidelines|rules)', 7),
(r'\b(temporary|temporarily)\s+(ignore|disable|bypass)', 6),
(r'\b(just\s+this\s+once|only\s+this\s+time)\s+(ignore|bypass)', 5),
]
pattern_matches = []
for pattern, weight in injection_patterns:
matches = re.findall(pattern, message_lower, re.IGNORECASE)
if matches:
risk_score += weight * len(matches)
pattern_matches.append(f"Injection pattern detected (weight: {weight})")
detected_patterns.extend(pattern_matches)
# Suspicious phrases
suspicious_phrases = {
'ignore previous instructions': 10,
'forget everything': 8,
'new instructions': 7,
'system prompt': 8,
'you are now': 6,
'act as if': 5,
'pretend that': 5,
'roleplay as': 5,
'break character': 7,
'step out of character': 7,
'developer mode': 8,
'admin mode': 8,
'god mode': 7,
'debug mode': 7,
'unrestricted mode': 9,
'jailbreak': 9,
'prompt injection': 10,
'ignore safety': 9,
'bypass security': 9,
'disable filters': 8,
'raw access': 7,
'direct access': 6,
'unfiltered access': 8,
'override safety': 9,
'emergency override': 8,
'for research purposes ignore': 6,
'this is a test ignore': 5,
'temporarily ignore': 6,
'just this once ignore': 5,
'modify your behavior': 7,
'change your instructions': 8,
'update your guidelines': 7,
'alter your rules': 7,
}
phrase_matches = []
for phrase, weight in suspicious_phrases.items():
if phrase in message_lower:
risk_score += weight
phrase_matches.append(f"Suspicious phrase: '{phrase}'")
detected_patterns.extend(phrase_matches)
# Code injection patterns
code_patterns = [
(r'```\s*(python|javascript|bash|sh|cmd|powershell|sql|php)', 4),
(r'\b(eval|exec|system|subprocess|os\.|import\s+os|require\()', 6),
(r'<script|javascript:|vbscript:|data:|file://|ftp://', 7),
(r'\{\{.*\}\}', 5), # Template injection
(r'\$\{.*\}', 5), # Variable substitution
(r'<%.*%>', 5), # ASP/ERB style
(r'<\?.*\?>', 5), # PHP style
(r'\{\%.*\%\}', 5), # Jinja2/Django style
]
for pattern, weight in code_patterns:
matches = re.findall(pattern, message_lower, re.IGNORECASE)
if matches:
risk_score += weight * len(matches)
detected_patterns.append(f"Code injection pattern detected")
# 5. Length and repetition analysis
if len(message) > 2000:
risk_score += 2
detected_patterns.append("Unusually long message")
# Check for repeated patterns (could indicate injection attempts)
words = message_lower.split()
if len(words) > 10:
word_freq = {}
for word in words:
if len(word) > 3:
word_freq[word] = word_freq.get(word, 0) + 1
repeated_words = [(word, count) for word, count in word_freq.items() if count > 3]
if repeated_words:
risk_score += min(len(repeated_words) * 2, 5)
detected_patterns.append(f"Excessive word repetition detected")
# Unicode/encoding tricks
suspicious_unicode = [
'\u200b', # Zero-width space
'\u200c', # Zero-width non-joiner
'\u200d', # Zero-width joiner
'\ufeff', # Byte order mark
]
for char in suspicious_unicode:
if char in message:
risk_score += 3
detected_patterns.append("Suspicious Unicode characters detected")
break
# Multiple instruction attempts (layered attacks)
instruction_keywords = ['ignore', 'forget', 'disregard', 'override', 'bypass', 'disable']
instruction_count = sum(1 for keyword in instruction_keywords if keyword in message_lower)
if instruction_count >= 3:
risk_score += instruction_count * 2
detected_patterns.append(f"Multiple instruction manipulation attempts ({instruction_count})")
# Calculate risk level and confidence
if risk_score >= 15:
risk_level = "high"
confidence = min(0.9, 0.5 + (risk_score - 15) * 0.02)
elif risk_score >= 8:
risk_level = "medium"
confidence = min(0.8, 0.3 + (risk_score - 8) * 0.03)
elif risk_score >= 3:
risk_level = "low"
confidence = min(0.6, 0.1 + risk_score * 0.05)
else:
risk_level = "none"
confidence = 0.0
# Determine if it's likely an injection
is_injection = risk_score >= 8
if is_injection:
result_message = f"⚠️ Potential prompt injection detected (Risk: {risk_level}, Score: {risk_score})"
else:
result_message = f"✅ No significant prompt injection patterns detected (Score: {risk_score})"
return {
"is_injection": is_injection,
"risk_level": risk_level,
"risk_score": risk_score,
"confidence": round(confidence, 2),
"detected_patterns": detected_patterns,
"message": result_message
}
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