CVE-2021-33653
📋 TL;DR
CVE-2021-33653 is a division by zero vulnerability in MindSpore's SpaceToBatch operator that occurs when block_shape parameter contains a value of 0. This can cause denial of service (DoS) by crashing the application. Affects users of MindSpore deep learning framework.
💻 Affected Systems
- MindSpore
📦 What is this software?
Mindspore by Mindspore
Mindspore by Mindspore
⚠️ Risk & Real-World Impact
Worst Case
Complete service disruption through application crash, potentially affecting dependent systems and causing data loss in processing pipelines.
Likely Case
Application crash leading to denial of service for the affected MindSpore process, interrupting machine learning operations.
If Mitigated
Controlled application termination with proper error handling, minimal impact on overall system stability.
🎯 Exploit Status
Exploitation requires ability to control model parameters or input data to the SpaceToBatch operator.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: MindSpore 1.3.0 and later
Vendor Advisory: https://gitee.com/mindspore/community/blob/master/security/security_advisory_list/mssa-2021-002_en.md
Restart Required: Yes
Instructions:
1. Check current MindSpore version. 2. Upgrade to MindSpore 1.3.0 or later using pip or package manager. 3. Restart all services using MindSpore. 4. Verify the fix by testing SpaceToBatch operations.
🔧 Temporary Workarounds
Input validation wrapper
allAdd validation to check block_shape parameter before passing to SpaceToBatch operator
# Python code snippet to validate block_shape
import numpy as np
def safe_spacetobatch(input_tensor, block_shape):
if 0 in block_shape:
raise ValueError('block_shape cannot contain 0')
# Proceed with normal SpaceToBatch operation
🧯 If You Can't Patch
- Implement strict input validation for all SpaceToBatch operator calls
- Isolate MindSpore processes and implement monitoring for crashes
🔍 How to Verify
Check if Vulnerable:
Check MindSpore version and test SpaceToBatch with block_shape containing 0Check Version:
python -c 'import mindspore; print(mindspore.__version__)'Verify Fix Applied:
After upgrade, test SpaceToBatch operator with block_shape containing 0 - should return error instead of crash📡 Detection & Monitoring
Log Indicators:
- Application crashes with division by zero errors
- MindSpore process termination
- Error logs mentioning SpaceToBatch or block_shape
Network Indicators:
- Sudden termination of ML inference services
- Failed model processing requests
SIEM Query:
process_name: 'python' AND (error: 'division by zero' OR error: 'SpaceToBatch')