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The vulnerability exists within the Triton Python backend of the SageMaker SDK, where SSL certificate verification for HTTPS connections was globally disabled by default. This insecure configuration occurs when the SDK’s internal code sets the `verify` parameter to `False` for Python’s `requests` library or equivalent, or disables verification at the SSL context level. This flaw removes a critical layer of transport security. When the backend downloads machine learning models or their dependencies from a remote repository over HTTPS, the lack of certificate validation allows a man-in-the-middle (MITM) attacker to intercept the connection. The attacker can then present a fraudulent certificate and tamper with the traffic. This enables the substitution of a legitimate model file with a maliciously crafted one. When the Triton container loads this tampered model, it can lead to the execution of arbitrary code within the container, compromising the integrity and security of the SageMaker environment.
Platform: Amazon SageMaker Python SDK
Version: < v2.256.0, < v3.1.1
Vulnerability: SSL Verification Disabled
Severity: Critical
date:
Prediction: Patch released 2024
What Undercode Say:
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Check current SDK version
pip show sagemaker | grep Version
Example of insecure request that would be allowed
python3 -c "import requests; r=requests.get('https://repo', verify=False); print(r.status_code)"
Simulating the insecure context (example)
export CURL_CA_BUNDLE=""
How Exploit:
1. Attacker positions themself as MITM.
2. Intercepts HTTPS request for model.
3. Presents a self-signed certificate.
4. Serves a malicious model file.
5. Triton server loads file, executing payload.
Protection from this CVE
- Upgrade SDK immediately.
- Add private CA certificates.
- Never disable
verify.
Impact:
Arbitrary Code Execution
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Sources:
Reported By: github.com
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