CVE-2021-29525
Summary
| CVE | CVE-2021-29525 |
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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 | 2021-05-19 17:10:00 UTC |
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| Description | TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b40060c9f697b044e3107917c797ba052f4506ab/tensorflow/core/kernels/conv_grad_input_ops.h#L625-L655) does a division by a quantity that is controlled by the caller. 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 `Conv2DBackpropInput` · Advisory · tensorflow/tensorflow · GitHub |
CONFIRM |
github.com |
|
| Prevent yet another division by zero · tensorflow/tensorflow@2be2cdf · 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
- 982521 Python (pip) Security Update for tensorflow-gpu (GHSA-xm2v-8rrw-w9pm)
