Inference-process crash via unchecked zero axis size
Published Jun 27, 2022 · Updated Aug 3, 2024
Divide by zero in MindSpore before 1.3.0 allows remote attackers to crash inference processes through a crafted Reduce operation. ReduceCPUKernel::Run passes a zero axis_size_ derived from axis_sizes into the reduction path without first rejecting it. A crafted model or operator input reaching the MindSpore Lite CPU kernel can terminate the hosting inference process, affecting availability only.
Summary
What happened
Divide by zero in MindSpore before 1.3.0 allows remote attackers to crash inference processes through a crafted Reduce operation. ReduceCPUKernel::Run passes a zero axis_size_ derived from axis_sizes into the reduction path without first rejecting it. A crafted model or operator input reaching the MindSpore Lite CPU kernel can terminate the hosting inference process, affecting availability only.
The record
- CVE
- CVE-2021-33652
- Published
- Jun 27, 2022
- Updated
- Aug 3, 2024
- Vendor
- MindSpore
- Product
- MindSpore
- Classifications
- CWE-369, T1499
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Jun 27, 2022CVE publishedPublication date reported by the CVE source.
- Aug 3, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=>= 0.7.0-beta, < 1.3.0
What conditions does exploitation require?
What is affected?
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Public exploit references
No public exploit references are available in this record.
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Technologies
Your stack
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Your stack
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