CVE-2022-23576
CVSS V2 Medium 4
CVSS V3 Medium 6.5
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Overview
- CVE ID
- CVE-2022-23576
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2022-02-04T23:15:14
- Last Modified Date
- 2022-02-10T15:10:35
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/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617 | Exploit Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37 | Patch Third Party Advisory |
Sources
| Source Name | Source URL |
|---|---|
| NIST | https://nvd.nist.gov/vuln/detail/CVE-2022-23576 |
| MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-23576 |
History
| Created | Old Value | New Value | Data Type | Notes |
|---|---|---|---|---|
| 2022-05-10 06:33:14 | Added to TrackCVE | |||
| 2022-12-06 08:41:14 | 2022-02-04T23:15Z | 2022-02-04T23:15:14 | CVE Published Date | updated |
| 2022-12-06 08:41:14 | 2022-02-10T15:10:35 | CVE Modified Date | updated | |
| 2022-12-06 08:41:14 | Analyzed | Vulnerability Status | updated |