Full Report
Wiz is excited to announce "Prompt Airlines," a new cloud security Capture The Flag (CTF) event focused on AI vulnerabilities.
Analysis Summary
# Tool/Technique: Prompt Airlines CTF (AI Security Challenge)
## Overview
The "Prompt Airlines CTF" is a cloud security Capture The Flag event created by Wiz, focused specifically on testing participants' skills in identifying and exploiting **AI security vulnerabilities**. The challenge involves interacting with a fictional customer service chatbot to attempt to exploit its logic to obtain a free flight ticket, highlighting real-world Artificial Intelligence security risks.
## Technical Details
- Type: Technique / Educational Framework (Focus on AI Vulnerability Exploitation)
- Platform: Web/Chatbot Interaction (No specialized coding tools required)
- Capabilities: Hands-on learning experience focusing on adversarial interaction with Language Models (LLMs) or similar AI agents.
- First Seen: July 24, 2024 (Date of announcement)
## MITRE ATT&CK Mapping
Since the content describes an educational exercise based on discovered AI vulnerabilities rather than a specific known malware or tool used by a named APT, direct ATT&CK mapping is generalized based on the goals of the exploitation (manipulating an AI agent):
- **TA0001 - Initial Access** (If the LLM acts as an entry point)
- **T1566 - Phishing**
- T1566.002 - Spearphishing Link (If links/messages in the chat lead to compromise)
- **TA0002 - Execution** (If the prompt forces the AI to execute unintended backend functions)
- **T1613 - Data Obfuscation** (As the user attempts to obfuscate their intent via language)
- **TA0009 - Collection** (If successful exploitation leads to unauthorized data retrieval)
- **T1530 - Data from Information Repositories** (If the AI is tricked into revealing internal data)
*(Note: Specific AI/LLM ATT&CK techniques are emerging, but this summary reflects the general security context of the exercise.)*
## Functionality
### Core Capabilities
- Interactive challenge simulating real-world adversarial prompting against an AI customer service agent.
- Designed to test understanding of AI security risks and prompt injection defense failures.
- Requires only problem-solving abilities; no coding skills are necessary for participation.
### Advanced Features
- Highlights risks based on real AI vulnerabilities discovered by Wiz Research.
- Progress tracked individually, with team collaboration allowed.
- Awards a certificate acknowledging AI security skills upon completion.
## Indicators of Compromise
Since this is a controlled CTF environment designed for learning, traditional IoCs like malware hashes or C2 servers are not applicable. The 'IoCs' are inputs/interactions:
- File Hashes: N/A
- File Names: N/A
- Registry Keys: N/A
- Network Indicators: Interaction with the Challenge URL: `promptairlines[.]com` (Defanged)
- Behavioral Indicators: Malicious or manipulative conversational inputs designed to elicit unauthorized actions (e.g., requests for free tickets based on logical fallacy or crafted prompts).
## Associated Threat Actors
The challenge is sponsored and designed by **Wiz Research**. The techniques being practiced mirror those that could be used by unknown threat actors targeting enterprises utilizing similar deployed LLMs or AI agents.
## Detection Methods
Detection focuses on anomaly detection within conversational AI interfaces:
- Signature-based detection: N/A (Highly dependent on input patterns)
- Behavioral detection: Monitoring for prompts that attempt to bypass safety guardrails, exploit system instructions, or request privileged information/actions.
- YARA rules if available: N/A
## Mitigation Strategies
Mitigation focuses on hardening the deployed LLM/AI system:
- Prevention measures: Implementing robust input validation, sanitation, and instruction separation (e.g., system prompts vs. user input).
- Hardening recommendations: Employing advanced LLM defense mechanisms against prompt injection, denial-of-service via complex queries, and context window manipulation. Ensuring the AI agent only has permissions strictly necessary for its stated function.
## Related Tools/Techniques
- Prompt Injection Attacks
- LLM Adversarial Testing Frameworks
- Contextual Manipulation Techniques