CVE-2021-29573
Summary
| CVE | CVE-2021-29573 |
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| State | PUBLIC |
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| Assigner | [email protected] |
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| Source Priority | CVE Program / NVD first with legacy fallback |
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| Published | 2021-05-14 20:15:00 UTC |
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| Updated | 2021-05-20 14:56:00 UTC |
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| Description | TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` is vulnerable to a division by 0. The implementation(https://github.com/tensorflow/tensorflow/blob/279bab6efa22752a2827621b7edb56a730233bd8/tensorflow/core/kernels/maxpooling_op.cc#L1033-L1034) fails to validate that the batch dimension of the tensor is non-zero, before dividing by this quantity. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. |
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NVD Known Affected Configurations (CPE 2.3)
| Type | Vendor | Product | Version | Update | Edition | Language |
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| Application |
Google |
Tensorflow |
All |
All |
All |
All |
References
| Reference | Source | Link | Tags |
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| Division by 0 in `MaxPoolGradWithArgmax` · Advisory · tensorflow/tensorflow · GitHub |
CONFIRM |
github.com |
|
| Don't do any work if output tensor is null (prevent div by 0) · tensorflow/tensorflow@376c352 · GitHub |
MISC |
github.com |
|
| CVE Program record |
CVE.ORG |
www.cve.org |
canonical |
| NVD vulnerability detail |
NVD |
nvd.nist.gov |
canonical, analysis |
No vendor comments have been submitted for this CVE.
Legacy QID Mappings
- 982476 Python (pip) Security Update for tensorflow-gpu (GHSA-9vpm-rcf4-9wqw)
