CVE-2021-29591
CVSS V2 Medium 4.6
CVSS V3 High 7.8
Description
TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be replaced by stack overflow due to too many recursive calls. For example, the `While` implementation(https://github.com/tensorflow/tensorflow/blob/106d8f4fb89335a2c52d7c895b7a7485465ca8d9/tensorflow/lite/kernels/while.cc) could be tricked into a scneario where both the body and the loop subgraphs are the same. Evaluating one of the subgraphs means calling the `Eval` function for the other and this quickly exhaust all stack space. 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. Please consult our security guide(https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
Overview
- CVE ID
- CVE-2021-29591
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2021-05-14T20:15:15
- Last Modified Date
- 2022-04-25T20:09:28
Weakness Enumerations
CPE Configuration (Product)
| CPE | Vulnerable | Operator | Version Start | Version End |
|---|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.1.4 | |
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.2.0 | 2.2.3 |
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.3.0 | 2.3.3 |
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 1 | OR | 2.4.0 | 2.4.2 |
CVSS Version 2
- Version
- 2.0
- Vector String
- AV:L/AC:L/Au:N/C:P/I:P/A:P
- Access Vector
- LOCAL
- Access Compatibility
- LOW
- Authentication
- NONE
- Confidentiality Impact
- PARTIAL
- Integrity Impact
- PARTIAL
- Availability Impact
- PARTIAL
- Base Score
- 4.6
- Severity
- MEDIUM
- Exploitability Score
- 3.9
- Impact Score
- 6.4
CVSS Version 3
- Version
- 3.1
- Vector String
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- Attack Vector
- LOCAL
- Attack Compatibility
- LOW
- Privileges Required
- LOW
- User Interaction
- NONE
- Scope
- UNCHANGED
- Confidentiality Impact
- HIGH
- Availability Impact
- HIGH
- Base Score
- 7.8
- Base Severity
- HIGH
- Exploitability Score
- 1.8
- Impact Score
- 5.9
References
| Reference URL | Reference Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cwv3-863g-39vx | Exploit Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/9c1dc920d8ffb4893d6c9d27d1f039607b326743 | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/c6173f5fe66cdbab74f4f869311fe6aae2ba35f4 | Patch Third Party Advisory |
Sources
| Source Name | Source URL |
|---|---|
| NIST | https://nvd.nist.gov/vuln/detail/CVE-2021-29591 |
| MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29591 |
History
| Created | Old Value | New Value | Data Type | Notes |
|---|---|---|---|---|
| 2022-05-10 06:26:41 | Added to TrackCVE | |||
| 2022-12-05 02:25:16 | 2021-05-14T20:15Z | 2021-05-14T20:15:15 | CVE Published Date | updated |
| 2022-12-05 02:25:16 | 2022-04-25T20:09:28 | CVE Modified Date | updated | |
| 2022-12-05 02:25:16 | Analyzed | Vulnerability Status | updated |