AI Security Attack Techniques

Comprehensive database of attack techniques, tactics, and procedures targeting AI systems. Explore vulnerabilities across LLMs, GenAI, Agentic AI, and MCP implementations.

10
Total Attacks
2
Critical Severity
6
High Severity
4
Categories
Attack Categories

Explore Attack Categories

Browse attack techniques organized by AI system type and threat category

🤖
LLM Attacks
3 attack techniques

Large Language Model vulnerabilities including prompt injection, jailbreaking, and model manipulation techniques.

1 Critical2 High
🎨
GenAI Threats
3 attack techniques

Generative AI misuse including deepfakes, synthetic identity creation, and voice cloning attacks.

2 High
🤖
Agentic AI Attacks
2 attack techniques

Advanced threats from autonomous AI agents capable of independent exploitation and tool manipulation.

1 Critical1 High
🔗
MCP Security
2 attack techniques

Model Context Protocol vulnerabilities including server impersonation and context poisoning.

1 High
Featured Techniques

Featured Attack Techniques

Critical and high-severity attacks requiring immediate attention from security teams

Prompt Injection
CriticalLow Complexity
Critical vulnerability where malicious prompts manipulate LLM behavior to bypass safety measures.

Primary Impact:

Data ExfiltrationUnauthorized AccessSystem Manipulation
Autonomous Exploitation
CriticalHigh Complexity
AI agents that independently discover and exploit system vulnerabilities without human intervention.

Primary Impact:

System CompromiseLateral MovementData Breach
Deepfake Generation
HighMedium Complexity
Creation of synthetic media content using generative AI to impersonate individuals.

Primary Impact:

Identity TheftMisinformationSocial Engineering
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