CVE-2021-37660
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 an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&&`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Overview
- CVE ID
- CVE-2021-37660
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2021-08-12T18:15:10
- Last Modified Date
- 2021-08-18T17:14:08
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-cm5x-837x-jf3c | Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/e86605c0a336c088b638da02135ea6f9f6753618 | Patch Third Party Advisory |
Sources
Source Name | Source URL |
---|---|
NIST | https://nvd.nist.gov/vuln/detail/CVE-2021-37660 |
MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37660 |
History
Created | Old Value | New Value | Data Type | Notes |
---|---|---|---|---|
2022-05-10 06:56:47 | Added to TrackCVE | |||
2022-12-05 08:06:06 | 2021-08-12T18:15Z | 2021-08-12T18:15:10 | CVE Published Date | updated |
2022-12-05 08:06:06 | 2021-08-18T17:14:08 | CVE Modified Date | updated | |
2022-12-05 08:06:06 | Analyzed | Vulnerability Status | updated |