CVE-2025-0508
📋 TL;DR
This CVE describes an MD5 hash collision vulnerability in AWS SageMaker Python SDK's workflow component. It allows different workflow configurations that produce identical MD5 hashes to be treated as the same workflow, potentially causing incorrect workflow results or replacements. All users of AWS SageMaker Python SDK with workflow functionality are affected.
💻 Affected Systems
- aws/sagemaker-python-sdk
⚠️ Manual Verification Required
This CVE does not have specific version information in our database, so automatic vulnerability detection cannot determine if your system is affected.
Why? The CVE database entry doesn't specify which versions are vulnerable (no version ranges provided by the vendor/NVD).
🔒 Custom verification scripts are available for registered users. Sign up free to download automated test scripts.
- Review the CVE details at NVD
- Check vendor security advisories for your specific version
- Test if the vulnerability is exploitable in your environment
- Consider updating to the latest version as a precaution
⚠️ Risk & Real-World Impact
Worst Case
Critical ML pipelines produce incorrect results due to workflow substitution, leading to data corruption, model training on wrong datasets, or production system failures.
Likely Case
Workflow caching/reuse errors causing inconsistent pipeline behavior, requiring manual intervention to correct workflow execution.
If Mitigated
Minor workflow inconsistencies that are caught by validation checks or manual review before affecting production systems.
🎯 Exploit Status
Requires ability to create specific workflow configurations that produce MD5 collisions
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Versions with commit dcdd99f911e8b1a05d19cf1ad939b0fefae47864
Vendor Advisory: https://github.com/aws/sagemaker-python-sdk/commit/dcdd99f911e8b1a05d19cf1ad939b0fefae47864
Restart Required: No
Instructions:
1. Update sagemaker-python-sdk to latest version. 2. Verify workflow caching uses SHA256 instead of MD5. 3. Clear existing workflow caches if needed.
🔧 Temporary Workarounds
Disable workflow caching
allTemporarily disable workflow result caching to prevent hash collision issues
Set workflow caching configuration to disabled in SageMaker pipeline definitions
🧯 If You Can't Patch
- Implement manual workflow validation checks before production deployment
- Monitor workflow execution logs for unexpected cache hits or workflow substitutions
🔍 How to Verify
Check if Vulnerable:
Check if workflow caching uses MD5 hashing in sagemaker workflow configurationsCheck Version:
pip show sagemaker | grep VersionVerify Fix Applied:
Verify workflow caching now uses SHA256 hashing instead of MD5📡 Detection & Monitoring
Log Indicators:
- Unexpected workflow cache hits
- Workflow substitution events
- MD5 hash collisions in workflow logs
Network Indicators:
- N/A - internal workflow processing issue
SIEM Query:
source="sagemaker" AND ("MD5" OR "hash collision" OR "workflow substitution")