PYSEC-2022-55
Record from OSV · Published February 3, 2022
tensorflow-cpu is fixed in 2.6.3, 2.5.3 and 08d7b00c0a5a20926363849f611729f53f3ec022 (PyPI)
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Fixed versions
Upgrade to a fixed version or later. Language registries are listed first, then Linux distributions, then vendor products.
| Package | Ecosystem | Fixed in |
|---|---|---|
| tensorflow-cpu | PyPI | 2.6.3, 2.5.3, 08d7b00c0a5a20926363849f611729f53f3ec022 |
Risk scores
Affected products
| Vendor | Product | Versions |
|---|---|---|
| PyPI | tensorflow-cpu | 0, 0, 2.6.0 |
Timeline
- Feb 3, 2022 CVE Published
- Jul 13, 2026 CVE Updated
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References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m4hf-j54p-p353 advisory
- https://github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f611729f53f3ec022 patch
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/common_shape_fns.cc#L1961-L2059 url
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/framework/shape_inference.cc#L345-L358 url