CVE-2021-29550
CVSS V2 Low 2.1
CVSS V3 Medium 5.5
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.FractionalAvgPool`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_avg_pool_op.cc#L85-L89) computes a divisor quantity by dividing two user controlled values. The user controls the values of `input_size[i]` and `pooling_ratio_[i]` (via the `value.shape()` and `pooling_ratio` arguments). If the value in `input_size[i]` is smaller than the `pooling_ratio_[i]`, then the floor operation results in `output_size[i]` being 0. The `DCHECK_GT` line is a no-op outside of debug mode, so in released versions of TF this does not trigger. Later, these computed values are used as arguments(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_avg_pool_op.cc#L96-L99) to `GeneratePoolingSequence`(https://github.com/tensorflow/tensorflow/blob/acc8ee69f5f46f92a3f1f11230f49c6ac266f10c/tensorflow/core/kernels/fractional_pool_common.cc#L100-L108). There, the first computation is a division in a modulo operation. Since `output_length` can be 0, this results in runtime crashing. 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.
Overview
- CVE ID
- CVE-2021-29550
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2021-05-14T20:15:12
- Last Modified Date
- 2021-07-27T17:19:03
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:N/I:N/A:P
- Access Vector
- LOCAL
- Access Compatibility
- LOW
- Authentication
- NONE
- Confidentiality Impact
- NONE
- Integrity Impact
- NONE
- Availability Impact
- PARTIAL
- Base Score
- 2.1
- Severity
- LOW
- Exploitability Score
- 3.9
- Impact Score
- 2.9
CVSS Version 3
- Version
- 3.1
- Vector String
- CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Attack Vector
- LOCAL
- Attack Compatibility
- LOW
- Privileges Required
- LOW
- User Interaction
- NONE
- Scope
- UNCHANGED
- Confidentiality Impact
- NONE
- Availability Impact
- HIGH
- Base Score
- 5.5
- Base Severity
- MEDIUM
- Exploitability Score
- 1.8
- Impact Score
- 3.6
References
Reference URL | Reference Tags |
---|---|
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f78g-q7r4-9wcv | Exploit Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/548b5eaf23685d86f722233d8fbc21d0a4aecb96 | Patch Third Party Advisory |
Sources
Source Name | Source URL |
---|---|
NIST | https://nvd.nist.gov/vuln/detail/CVE-2021-29550 |
MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29550 |
History
Created | Old Value | New Value | Data Type | Notes |
---|---|---|---|---|
2022-05-10 15:52:46 | Added to TrackCVE | |||
2022-12-05 02:22:28 | 2021-05-14T20:15Z | 2021-05-14T20:15:12 | CVE Published Date | updated |
2022-12-05 02:22:28 | 2021-07-27T17:19:03 | CVE Modified Date | updated | |
2022-12-05 02:22:28 | Analyzed | Vulnerability Status | updated |