CVEvulnerability
CVE-2021-29525
7.8 HIGH
Official page ↗
- Status
- Modified
- Published
- 2021-05-14
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 2.5 LOW — CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
- CVSS 3.1 ([email protected])
- 7.8 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- CVSS 2.0 ([email protected])
- 4.6 MEDIUM — AV:L/AC:L/Au:N/C:P/I:P/A:P
- Weaknesses
- CWE-369
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.
Affected configurations
• google tensorflow (< 2.1.4)
• google tensorflow (>= 2.2.0 < 2.2.3)
• google tensorflow (>= 2.3.0 < 2.3.3)
• google tensorflow (>= 2.4.0 < 2.4.2)
Related
Weakness · CWE (1)
- CWE-369 Divide By Zero weakness
References
- https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535 Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm Exploit, Patch, Third Party Advisory