CVE-2021-37669
Crash in NMS ops caused by integer conversion to unsigned in TensorFlow
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a `std::vector`. However, as `std::vector::resize` takes the size argument as a `size_t` and `output_size` is an `int`, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in `CombinedNonMaxSuppression`. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. 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-2021-37669
To remediate CVE-2021-37669, 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 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d or later
- —upgrade to 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d or later
- —upgrade to 2.3.4 or later
- —upgrade to 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d or later
- —upgrade to 2.3.4 or later
Is CVE-2021-37669 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, < 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d, < b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
- from 0, < 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d, < b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58 | >= 2.3.0, < 2.3.4, >= 2.4.0, < 2.4.3
- from 0, < 2.3.4
- from 0, < 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d, < b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58 | >= 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:N/VI:N/VA:H/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | MEDIUM5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
References (8)
- ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-37669
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-582.yaml
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-780.yaml
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-291.yaml