CVE-2021-37640
CVSS V2 Low 2.1
CVSS V3 Medium 5.5
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.
Overview
- CVE ID
- CVE-2021-37640
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2021-08-12T18:15:10
- Last Modified Date
- 2021-08-18T17:35:31
Weakness Enumerations
CPE Configuration (Product)
CPE | Vulnerable | Operator | Version Start | Version End |
---|---|---|---|---|
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.3.0 | 2.3.4 |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.4.0 | 2.4.3 |
cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:* | 1 | OR | ||
cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:* | 1 | OR | ||
cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:* | 1 | OR | ||
cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:* | 1 | OR |
CVSS Version 2
- Version
- 2.0
- Vector String
- AV:L/AC:L/Au:N/C:N/I:N/A:P
- Access Vector
- LOCAL
- Access Compatibility
- LOW
- Authentication
- NONE
- Confidentiality Impact
- NONE
- Integrity Impact
- NONE
- Availability Impact
- PARTIAL
- Base Score
- 2.1
- Severity
- LOW
- Exploitability Score
- 3.9
- Impact Score
- 2.9
CVSS Version 3
- Version
- 3.1
- Vector String
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Attack Vector
- LOCAL
- Attack Compatibility
- LOW
- Privileges Required
- LOW
- User Interaction
- NONE
- Scope
- UNCHANGED
- Confidentiality Impact
- NONE
- Availability Impact
- HIGH
- Base Score
- 5.5
- Base Severity
- MEDIUM
- Exploitability Score
- 1.8
- Impact Score
- 3.6
References
Reference URL | Reference Tags |
---|---|
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-95xm-g58g-3p88 | Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/4923de56ec94fff7770df259ab7f2288a74feb41 | Patch Third Party Advisory |
Sources
Source Name | Source URL |
---|---|
NIST | https://nvd.nist.gov/vuln/detail/CVE-2021-37640 |
MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37640 |
History
Created | Old Value | New Value | Data Type | Notes |
---|---|---|---|---|
2022-05-10 06:56:46 | Added to TrackCVE | |||
2022-12-05 08:05:54 | 2021-08-12T18:15Z | 2021-08-12T18:15:10 | CVE Published Date | updated |
2022-12-05 08:05:54 | 2021-08-18T17:35:31 | CVE Modified Date | updated | |
2022-12-05 08:05:54 | Analyzed | Vulnerability Status | updated |