GHSA-pg59-2f92-5cph
Dashboard / Vulnerabilities / GHSA-pg59-2f92-5cph
GHSA-pg59-2f92-5cph
Summary: Heap buffer overflow in Tensorflow
Details: ### Impact The `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L110-L117 In the sparse and ragged count weights are still accessed in parallel with the data: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L199-L201 But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. ### Patches We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release. We recommend users to upgrade to TensorFlow 2.3.1. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability is a variant of [GHSA-p5f8-gfw5-33w4](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p5f8-gfw5-33w4)
References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph, https://nvd.nist.gov/vuln/detail/CVE-2020-15196, https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-276.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-311.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-119.yaml, https://github.com/tensorflow/tensorflow, https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1
Affected packages
Package
Name: tensorflow
Purl: pkg:pypi/tensorflow
Affected ranges
Type: ECOSYSTEM
Events:
