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LLM Prompt Injection Attack Background
Critical Vulnerability

LLM Prompt Injection Attack

Comprehensive analysis of prompt injection attacks against Large Language Models, including attack vectors, real-world examples, and proven mitigation strategies.

Critical
Severity Level
95%
Success Rate
Medium
Detection Difficulty
8
Mitigation Methods
What is LLM Prompt Injection?

LLM Prompt Injection is a critical vulnerability where malicious prompts are crafted to manipulate Large Language Model behavior, bypassing safety mechanisms and extracting sensitive information or causing unintended actions.

Attack Mechanism

  • Crafted prompts override system instructions
  • Bypass content filters and safety measures
  • Extract sensitive training data or context
  • Manipulate model outputs for malicious purposes

Impact Areas

  • Data confidentiality breaches
  • System integrity compromise
  • Unauthorized access to resources
  • Reputation and trust damage
OWASP Classification
CategoryLLM01: Prompt Injection
Risk LevelCritical
PrevalenceHigh
ExploitabilityMedium
Affected Systems
GPT-based applications
ChatGPT plugins and integrations
Custom LLM implementations
AI-powered chatbots
Content generation systems