CVE-2021-37663
Incomplete validation in `QuantizeV2` in TensorFlow
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in `tf.raw_ops.QuantizeV2`, 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/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/quantize_op.cc#L59) has some validation but does not check that `min_range` and `max_range` both have the same non-zero number of elements. If `axis` is provided (i.e., not `-1`), then validation should check that it is a value in range for the rank of `input` tensor and then the lengths of `min_range` and `max_range` inputs match the `axis` dimension of the `input` tensor. We have patched the issue in GitHub commit 6da6620efad397c85493b8f8667b821403516708. 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.
How to fix CVE-2021-37663
To remediate CVE-2021-37663, upgrade the affected package to a fixed version below.
- —upgrade to 2.3.4 or later
- —upgrade to 2.3.4 or later
- —upgrade to 6da6620efad397c85493b8f8667b821403516708 or later
- —upgrade to 6da6620efad397c85493b8f8667b821403516708 or later
- —upgrade to 2.3.4 or later
- —upgrade to 6da6620efad397c85493b8f8667b821403516708 or later
- —upgrade to 2.3.4 or later
Is CVE-2021-37663 being exploited?
Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.
Affected packages (7)
- >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3, >= 2.5.0, < 2.5.1
- from 0, < 2.3.4
- from 0, < 6da6620efad397c85493b8f8667b821403516708 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
- from 0, < 6da6620efad397c85493b8f8667b821403516708 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
- from 0, < 2.3.4
- from 0, < 6da6620efad397c85493b8f8667b821403516708 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
- from 0, < 2.3.4
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | HIGH7.8 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
References (7)
- ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-37663
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-576.yaml
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-774.yaml
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-285.yaml