CVE-2021-37679
CVSS V2 Medium 4.6
CVSS V3 High 7.8
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The `t` and `z` outputs should be identical, however this is not the case. The last row of `t` contains data from the heap which can be used to leak other memory information. The bug lies in the conversion from a `Variant` tensor to a `RaggedTensor`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_from_variant_op.cc#L177-L190) does not check that all inner shapes match and this results in the additional dimensions. The same implementation can result in data loss, if input tensor is tweaked. We have patched the issue in GitHub commit 4e2565483d0ffcadc719bd44893fb7f609bb5f12. 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-2021-37679
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2021-08-12T23:15:08
- Last Modified Date
- 2021-08-19T13:55:26
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: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-g8wg-cjwc-xhhp | Third Party Advisory |
| https://github.com/tensorflow/tensorflow/commit/4e2565483d0ffcadc719bd44893fb7f609bb5f12 | Patch Third Party Advisory |
Sources
| Source Name | Source URL |
|---|---|
| NIST | https://nvd.nist.gov/vuln/detail/CVE-2021-37679 |
| MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-37679 |
History
| Created | Old Value | New Value | Data Type | Notes |
|---|---|---|---|---|
| 2022-05-10 06:56:41 | Added to TrackCVE | |||
| 2022-12-05 08:10:25 | 2021-08-12T23:15Z | 2021-08-12T23:15:08 | CVE Published Date | updated |
| 2022-12-05 08:10:25 | 2021-08-19T13:55:26 | CVE Modified Date | updated | |
| 2022-12-05 08:10:25 | Analyzed | Vulnerability Status | updated |