Vulnerability Monitor

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CVE-2021-29525

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.

Published

2021-05-14T20:15:11.760

Last Modified

2024-11-21T06:01:18.550

Status

Modified

Source

[email protected]

Severity

CVSSv3.1: 2.5 (LOW)

CVSSv2 Vector

AV:L/AC:L/Au:N/C:P/I:P/A:P

Access Vector: LOCAL
Access Complexity: LOW
Authentication: NONE
Confidentiality Impact: PARTIAL
Integrity Impact: PARTIAL
Availability Impact: PARTIAL

Exploitability Score

3.9

Impact Score

6.4

Weaknesses

Type: Primary
CWE-369

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	google	tensorflow	< 2.1.4	Yes
Application	google	tensorflow	< 2.2.3	Yes
Application	google	tensorflow	< 2.3.3	Yes
Application	google	tensorflow	< 2.4.2	Yes

References

https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535 Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm Exploit, Patch, Third Party Advisory ([email protected])
https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535 Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm Exploit, Patch, Third Party Advisory (af854a3a-2127-422b-91ae-364da2661108)