CVE-2021-29529
CVSS V2 Medium 4.6
CVSS V3 High 7.8
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in `tf.raw_ops.QuantizedResizeBilinear` by manipulating input values so that float rounding results in off-by-one error in accessing image elements. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/44b7f486c0143f68b56c34e2d01e146ee445134a/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L62-L66) computes two integers (representing the upper and lower bounds for interpolation) by ceiling and flooring a floating point value. For some values of `in`, `interpolation->upper[i]` might be smaller than `interpolation->lower[i]`. This is an issue if `interpolation->upper[i]` is capped at `in_size-1` as it means that `interpolation->lower[i]` points outside of the image. Then, in the interpolation code(https://github.com/tensorflow/tensorflow/blob/44b7f486c0143f68b56c34e2d01e146ee445134a/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L245-L264), this would result in heap buffer overflow. 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-2021-29529
- Assigner
- security-advisories@github.com
- Vulnerability Status
- Analyzed
- Published Version
- 2021-05-14T20:15:11
- Last Modified Date
- 2021-05-20T16:26:16
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/commit/f851613f8f0fb0c838d160ced13c134f778e3ce7 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-jfp7-4j67-8r3q | Exploit Patch Third Party Advisory |
Sources
Source Name | Source URL |
---|---|
NIST | https://nvd.nist.gov/vuln/detail/CVE-2021-29529 |
MITRE | https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-29529 |
History
Created | Old Value | New Value | Data Type | Notes |
---|---|---|---|---|
2022-05-10 16:15:28 | Added to TrackCVE | |||
2022-12-05 02:21:01 | 2021-05-14T20:15Z | 2021-05-14T20:15:11 | CVE Published Date | updated |
2022-12-05 02:21:01 | 2021-05-20T16:26:16 | CVE Modified Date | updated | |
2022-12-05 02:21:01 | Analyzed | Vulnerability Status | updated |