CVE-2021-29521
Segfault in SparseCountSparseOutput
Description
TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in `tf.raw_ops.SparseCountSparseOutput` results in a segmentation fault being thrown out from the standard library as `std::vector` invariants are broken. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L199-L213) assumes the first element of the dense shape is always positive and uses it to initialize a `BatchedMap<T>` (i.e., `std::vector<absl::flat_hash_map<int64,T>>`(https://github.com/tensorflow/tensorflow/blob/8f7b60ee8c0206a2c99802e3a4d1bb55d2bc0624/tensorflow/core/kernels/count_ops.cc#L27)) data structure. If the `shape` tensor has more than one element, `num_batches` is the first value in `shape`. Ensuring that the `dense_shape` argument is a valid tensor shape (that is, all elements are non-negative) solves this issue. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3.
How to fix CVE-2021-29521
To remediate CVE-2021-29521, upgrade the affected package to a fixed version below.
- —upgrade to 2.3.3 or later
- —upgrade to 2.3.3 or later
- —upgrade to c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5 or later
- —upgrade to c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5 or later
- —upgrade to 2.3.3 or later
- —upgrade to c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5 or later
- —upgrade to 2.3.3 or later
Is CVE-2021-29521 being exploited?
Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.
Affected packages (7)
- >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- >= 2.3.0, < 2.3.3
- from 0, < c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5 | >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- from 0, < c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5 | >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- >= 2.3.0, < 2.3.3
- from 0, < c57c0b9f3a4f8684f3489dd9a9ec627ad8b599f5 | >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- >= 2.3.0, < 2.3.3
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | LOW2.5 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L |
References (6)
- ADVISORYnvd.nist.gov/vuln/detail/CVE-2021-29521
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-449.yaml
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-647.yaml
- WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-158.yaml