Guest Describes $7,000-Bounty Email Prompt Injection Against AI Agents

· 10:12 · Watch on YouTube ↗

Summary

The host says the guest received a $7,000 bounty for an email prompt-injection technique. The guest describes using crafted content in data an AI agent reads to expose inbox information, and suggests testing coding assistants with Git commit messages.

Key points

  • The host says the guest received a $7,000 bounty; the guest says the technique has been used on real targets multiple times.
  • The guest describes placing prompt-injection content in email data an AI agent retrieves, then using spoofed tool output and mimicked conversation structure to influence the agent.
  • In the described example, the intended impact is exposing the victim's inbox by sending its contents to an attacker-controlled email address.
  • The guest says the risk applies to tool-connected AI applications that ingest content they did not write, including email and coding-assistant contexts.
  • The guest describes using benign requests to check whether an injection affects the model before escalating to the desired behavior.
  • The suggested practice challenge is to test an AI coding assistant with prompt-injection content in a Git commit message.

Article Details

Topics
  • [00:55] Tool spoofing and conversation-mimicking prompt injection
  • [02:20] Email tool-output injection and inbox data exposure
  • [05:19] Discovering and mimicking the AI tool context
  • [06:25] Testing whether an injection influences the model
  • [07:51] Prompt injection risks in email, browsers, and coding assistants
  • [08:57] Suggested prompt-injection exercise for coding assistants