CVE-2020-15265
CVSS V2 Medium 5
CVSS V3 High 7.5
Description
In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
Overview
- CVE ID
- CVE-2020-15265
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2020-10-21T21:15:12
- Last Modified Date
- 2021-08-17T13:21:09
Weakness Enumerations
CPE Configuration (Product)
| CPE | Vulnerable | Operator | Version Start | Version End |
|---|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:-:*:*:* | 1 | OR | 2.4.0 |
CVSS Version 2
- Version
- 2.0
- Vector String
- AV:N/AC:L/Au:N/C:N/I:N/A:P
- Access Vector
- NETWORK
- Access Compatibility
- LOW
- Authentication
- NONE
- Confidentiality Impact
- NONE
- Integrity Impact
- NONE
- Availability Impact
- PARTIAL
- Base Score
- 5
- Severity
- MEDIUM
- Exploitability Score
- 10
- Impact Score
- 2.9
CVSS Version 3
- Version
- 3.1
- Vector String
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Attack Vector
- NETWORK
- Attack Compatibility
- LOW
- Privileges Required
- NONE
- User Interaction
- NONE
- Scope
- UNCHANGED
- Confidentiality Impact
- NONE
- Availability Impact
- HIGH
- Base Score
- 7.5
- Base Severity
- HIGH
- Exploitability Score
- 3.9
- Impact Score
- 3.6
References
| Reference URL | Reference Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808 | Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c | Exploit Patch Third Party Advisory |
| https://github.com/tensorflow/tensorflow/issues/42105 | Patch Third Party Advisory |
Sources
| Source Name | Source URL |
|---|---|
| NIST | https://nvd.nist.gov/vuln/detail/CVE-2020-15265 |
| MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15265 |
History
| Created | Old Value | New Value | Data Type | Notes |
|---|---|---|---|---|
| 2022-05-10 06:57:00 | Added to TrackCVE | |||
| 2022-12-05 00:48:29 | 2020-10-21T21:15Z | 2020-10-21T21:15:12 | CVE Published Date | updated |
| 2022-12-05 00:48:29 | 2021-08-17T13:21:09 | CVE Modified Date | updated | |
| 2022-12-05 00:48:29 | Analyzed | Vulnerability Status | updated |