Exploiting a Generative AI Chatbot – Prompt Injection to Remote Code Execution (RCE)

The NetSPI Agents demonstrate how prompt injection in AI chatbots can enable remote code execution and server compromise, exposing data and infrastructure through insecure AI deployments. The post walks through a hands-on test sequence showing Python execution, a verifiable external effect, and subsequent credential access within AWS via the Instance Metadata Service. #PromptInjection #RemoteCodeExecution

Keypoints

  • NetSPI Agents expose prompt-injection vulnerabilities in AI chatbots that can lead to unauthorized actions, including remote code execution.
  • The chatbot architecture includes an interface that can execute Python code and interact with the underlying OS, raising security risks when untrusted inputs are accepted.
  • The methodology uses prompting to elicit code execution, analyze results, and test security controls around input handling and isolation.
  • An evidence chain demonstrates a verifiable external effect by having the chatbot make an HTTP GET request to a NetSPI-controlled Collaborator server.
  • Attackers progress from code execution tests to a reverse shell, gaining shell access and viewing sensitive files on the hosting server.
  • Exploitation extends to cloud credentials via AWS Instance Metadata Service (IMDS), enabling retrieval of AccessKeyId/SecretAccessKey and potential AWS actions.
  • Recommendations emphasize strong authentication, isolation, input validation, monitoring, and regular security assessments for AI-powered systems.

MITRE Techniques

  • [T1059.006] Python – Execution of Python code via the chatbot using a subprocess-like mechanism. – ‘the chatbot can execute Python code in response to specific prompts.’
  • [T1059.004] Unix Shell – Reverse shell via a Python one-liner to gain shell access on the hosting server. – ‘initiate a reverse shell via a Python one-liner’
  • [T1071.001] Web Protocols – The chatbot performs external network communication (HTTP) to a NetSPI Collaborator instance to demonstrate a real external effect. – ‘make a HTTP GET request to a NetSPI controlled Collaborator instance’
  • [T1105] Ingress Tool Transfer – Download or retrieve the netspi.sh script from a NetSPI-controlled host to enable a writing/execution sequence. – ‘retrieve the “netspi.sh” script from a NetSPI controlled host running a Python Simple HTTP Server’
  • [T1550.004] Cloud Credentials from Instance Metadata – Abuse IMDS to extract AWS credentials (AccessKeyId/SecretAccessKey) and use them to access AWS resources. – ‘request a valid token from the Instance Metadata Service (IMDS)’ and ‘With the credentials in hand, we can authenticate to the AWS account directly and begin to take actions…’

Indicators of Compromise

  • [IP Address] 169.254.169.254 – AWS Instance Metadata Service used to retrieve temporary credentials and tokens.
  • [File Name] netspi.sh – Bash reverse shell script used to establish a backdoor on the hosting server.
  • [User] ubuntu – System user observed during the test indicating the OS environment used for code execution.
  • [URL] NetSPI Collaborator instance – HTTP GET requests to a NetSPI-controlled server used to verify external effects of code execution.
  • [Credential] AccessKeyId and SecretAccessKey – AWS credentials obtained via IMDS to access the target AWS account.

Read more: https://www.netspi.com/blog/technical-blog/ai-ml-pentesting/how-to-exploit-a-generative-ai-chatbot-using-prompt-injection/