Vulnerability Details : CVE-2021-37646
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. 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: Overflow
Products affected by CVE-2021-37646
- 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-2021-37646
0.04%
Probability of exploitation activity in the next 30 days
EPSS Score History
~ 10 %
Percentile, the proportion of vulnerabilities that are scored at or less
CVSS scores for CVE-2021-37646
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-2021-37646
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When converting from one data type to another, such as long to integer, data can be omitted or translated in a way that produces unexpected values. If the resulting values are used in a sensitive context, then dangerous behaviors may occur.Assigned by: security-advisories@github.com (Primary)
References for CVE-2021-37646
-
https://github.com/tensorflow/tensorflow/commit/c283e542a3f422420cfdb332414543b62fc4e4a5
Disallow negative ngram_widths values in tf.raw_ops.StringNGrams · tensorflow/tensorflow@c283e54 · GitHubPatch;Third Party Advisory
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https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h6jh-7gv5-28vg
Bad alloc in `StringNGrams` caused by integer conversion · Advisory · tensorflow/tensorflow · GitHubThird Party Advisory
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