CVE-2021-33647
📋 TL;DR
CVE-2021-33647 is an out-of-bounds write vulnerability in MindSpore's Tile operator that occurs during shape inference when non-integer data types are processed. This allows attackers to potentially execute arbitrary code or cause denial of service by accessing memory outside allocated buffers. Users of affected MindSpore versions are vulnerable when processing untrusted models or data.
💻 Affected Systems
- MindSpore
📦 What is this software?
Mindspore by Mindspore
Mindspore by Mindspore
⚠️ Risk & Real-World Impact
Worst Case
Remote code execution leading to complete system compromise if exploited in inference services processing malicious models.
Likely Case
Denial of service through application crashes or memory corruption when processing malformed input.
If Mitigated
Limited impact with proper input validation and sandboxing of model processing environments.
🎯 Exploit Status
Exploitation requires crafting malicious models with specific data types to trigger the vulnerability.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: MindSpore 1.2.0 and later
Vendor Advisory: https://gitee.com/mindspore/community/blob/master/security/security_advisory_list/mssa-2021-008_en.md
Restart Required: Yes
Instructions:
1. Upgrade to MindSpore 1.2.0 or later. 2. Update all dependencies. 3. Restart affected services. 4. Validate models work correctly with new version.
🔧 Temporary Workarounds
Input validation for Tile operator
allValidate all input data types to Tile operator are int32 before processing
Implement pre-processing checks in model loading code
Sandbox model execution
linuxRun MindSpore inference in isolated containers with limited privileges
docker run --security-opt=no-new-privileges --cap-drop=ALL -u nobody mindspore-container
🧯 If You Can't Patch
- Restrict model sources to trusted providers only
- Implement network segmentation to isolate MindSpore services from critical systems
🔍 How to Verify
Check if Vulnerable:
Check MindSpore version: if 1.1.0 or 1.1.1, system is vulnerable.
Check Version:
python -c "import mindspore; print(mindspore.__version__)"
Verify Fix Applied:
Confirm version is 1.2.0 or later and test Tile operator with various data types.
📡 Detection & Monitoring
Log Indicators:
- Segmentation faults in MindSpore processes
- Memory access violation errors
- Unexpected process termination during model inference
Network Indicators:
- Unusual outbound connections from inference services
- Increased error rates in model processing APIs
SIEM Query:
process_name:"python" AND (event_id:"1000" OR event_id:"1001") AND process_command_line:"mindspore"