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
