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Advisory Package Curation

CVE-2022-36016

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Advisory Summaries

github_osv/GHSA-g468-qj8g-vcjc

TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` ### Impact When `tensorflow::full_type::SubstituteFromAttrs` https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/math_ops.cc receives a `FullTypeDef& t` that is not exactly three args, it triggers a `CHECK`-fail instead of returning a status. ```cpp Status SubstituteForEach(AttrMap& attrs, FullTypeDef& t) { DCHECK_EQ(t.args_size(), 3); const auto& cont = t.args(0); const auto& tmpl = t.args(1); const auto& t_var = t.args(2); ``` ### Patches We have patched the issue in GitHub commit 6104f0d4091c260ce9352f9155f7e9b725eab012 https://github.com/tensorflow/tensorflow/commit/6104f0d4091c260ce9352f9155f7e9b725eab012. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### 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.

gitlab/pypi/tensorflow/CVE-2022-36016

Reachable Assertion TensorFlow is an open source platform for machine learning. When `tensorflow::full_type::SubstituteFromAttrs` receives a `FullTypeDef& t` that is not exactly three args, it triggers a `CHECK`-fail instead of returning a status. We have patched the issue in GitHub commit 6104f0d4091c260ce9352f9155f7e9b725eab012. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

pypa/tensorflow/PYSEC-2026-3184

TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` ### Impact When `tensorflow::full_type::SubstituteFromAttrs` https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/math_ops.cc receives a `FullTypeDef& t` that is not exactly three args, it triggers a `CHECK`-fail instead of returning a status. ```cpp Status SubstituteForEach(AttrMap& attrs, FullTypeDef& t) { DCHECK_EQ(t.args_size(), 3); const auto& cont = t.args(0); const auto& tmpl = t.args(1); const auto& t_var = t.args(2); ``` ### Patches We have patched the issue in GitHub commit 6104f0d4091c260ce9352f9155f7e9b725eab012 https://github.com/tensorflow/tensorflow/commit/6104f0d4091c260ce9352f9155f7e9b725eab012. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### 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.

pysec/PYSEC-2026-3184

TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs` ### Impact When `tensorflow::full_type::SubstituteFromAttrs` https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/math_ops.cc receives a `FullTypeDef& t` that is not exactly three args, it triggers a `CHECK`-fail instead of returning a status. ```cpp Status SubstituteForEach(AttrMap& attrs, FullTypeDef& t) { DCHECK_EQ(t.args_size(), 3); const auto& cont = t.args(0); const auto& tmpl = t.args(1); const auto& t_var = t.args(2); ``` ### Patches We have patched the issue in GitHub commit 6104f0d4091c260ce9352f9155f7e9b725eab012 https://github.com/tensorflow/tensorflow/commit/6104f0d4091c260ce9352f9155f7e9b725eab012. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### 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.