Vulnerability Details : CVE-2021-37677
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. 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.
Vulnerability category: Input validationDenial of service
Products affected by CVE-2021-37677
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:*
- cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*
Exploit prediction scoring system (EPSS) score for CVE-2021-37677
0.02%
Probability of exploitation activity in the next 30 days
EPSS Score History
~ 2 %
Percentile, the proportion of vulnerabilities that are scored at or less
CVSS scores for CVE-2021-37677
| Base Score | Base Severity | CVSS Vector | Exploitability Score | Impact Score | Score Source | First Seen |
|---|---|---|---|---|---|---|
|
2.1
|
LOW | AV:L/AC:L/Au:N/C:N/I:N/A:P |
3.9
|
2.9
|
NIST | |
|
5.5
|
MEDIUM | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
1.8
|
3.6
|
NIST | |
|
5.5
|
MEDIUM | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
1.8
|
3.6
|
GitHub, Inc. |
CWE ids for CVE-2021-37677
-
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.Assigned by: security-advisories@github.com (Secondary)
-
The product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.Assigned by: nvd@nist.gov (Primary)
References for CVE-2021-37677
-
https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764
Fix a shape inference issue leading to nullptr deref. · tensorflow/tensorflow@da857cf · GitHubPatch
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26
Missing validation in shape inference for `Dequantize` · Advisory · tensorflow/tensorflow · GitHubVendor Advisory
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