CVE-2022-23572
CVSS V2 Medium 4
CVSS V3 Medium 6.5
Description
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
Overview
- CVE ID
- CVE-2022-23572
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2022-02-04T23:15:14
- Last Modified Date
- 2022-02-10T16:17:48
Weakness Enumerations
CPE Configuration (Product)
| CPE | Vulnerable | Operator | Version Start | Version End |
|---|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.5.2 | |
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.6.0 | 2.6.2 |
| cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:* | 1 | OR |
CVSS Version 2
- Version
- 2.0
- Vector String
- AV:N/AC:L/Au:S/C:N/I:N/A:P
- Access Vector
- NETWORK
- Access Compatibility
- LOW
- Authentication
- SINGLE
- Confidentiality Impact
- NONE
- Integrity Impact
- NONE
- Availability Impact
- PARTIAL
- Base Score
- 4
- Severity
- MEDIUM
- Exploitability Score
- 8
- Impact Score
- 2.9
CVSS Version 3
- Version
- 3.1
- Vector String
- CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Attack Vector
- NETWORK
- Attack Compatibility
- LOW
- Privileges Required
- LOW
- User Interaction
- NONE
- Scope
- UNCHANGED
- Confidentiality Impact
- NONE
- Availability Impact
- HIGH
- Base Score
- 6.5
- Base Severity
- MEDIUM
- Exploitability Score
- 2.8
- Impact Score
- 3.6
References
| Reference URL | Reference Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174 | Exploit Third Party Advisory |
Sources
| Source Name | Source URL |
|---|---|
| NIST | https://nvd.nist.gov/vuln/detail/CVE-2022-23572 |
| MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-23572 |
History
| Created | Old Value | New Value | Data Type | Notes |
|---|---|---|---|---|
| 2022-05-10 06:33:12 | Added to TrackCVE | |||
| 2022-12-06 08:40:55 | 2022-02-04T23:15Z | 2022-02-04T23:15:14 | CVE Published Date | updated |
| 2022-12-06 08:40:55 | 2022-02-10T16:17:48 | CVE Modified Date | updated | |
| 2022-12-06 08:40:55 | Analyzed | Vulnerability Status | updated |