Vulnerability Name: | CVE-2021-37665 (CCN-207432) | ||||||||||||
Assigned: | 2021-08-11 | ||||||||||||
Published: | 2021-08-11 | ||||||||||||
Updated: | 2021-08-19 | ||||||||||||
Summary: | TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantization_range_per_channel_op.cc) does not validate the dimensions of the `input` tensor. A similar issue occurs in `MklRequantizePerChannelOp`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantize_per_channel_op.cc) does not perform full validation for all the input arguments. We have patched the issue in GitHub commit 9e62869465573cb2d9b5053f1fa02a81fce21d69 and in the Github commit 203214568f5bc237603dbab6e1fd389f1572f5c9. 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. | ||||||||||||
CVSS v3 Severity: | 7.8 High (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) 6.8 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C)
6.8 Medium (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C)
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CVSS v2 Severity: | 4.6 Medium (CVSS v2 Vector: AV:L/AC:L/Au:N/C:P/I:P/A:P)
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Vulnerability Type: | CWE-20 | ||||||||||||
Vulnerability Consequences: | Gain Access | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2021-37665 Source: XF Type: UNKNOWN tensorflow-cve202137665-code-exec(207432) Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/203214568f5bc237603dbab6e1fd389f1572f5c9 Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/9e62869465573cb2d9b5053f1fa02a81fce21d69 Source: CCN Type: TensorFlow GIT Repository Incomplete validation in MKL requantization Source: CONFIRM Type: Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v82p-hv3v-p6qp Source: CCN Type: IBM Security Bulletin 6523816 (Watson Discovery) IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow | ||||||||||||
Vulnerable Configuration: | Configuration 1: Configuration CCN 1: Denotes that component is vulnerable | ||||||||||||
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