https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-06T09:12:15.036170+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/cve-2022-23590 CVE-2022-23590 — Crash due to erroneous `StatusOr` in Tensorflow 2026-10-06T09:12:15.038194+00:00

Affected: tensorflow

Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

 https://cve.radiocsirt.org/vuln/ghsa-pqrv-8r2f-7278 GHSA-pqrv-8r2f-7278 — Crash due to erroneous `StatusOr` in TensorFlow 2026-10-06T09:12:15.038269+00:00

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu

### Impact A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering [a `StatusOr` value that is an error and forcibly extracting the value from it](https://github.com/tensorflow/tensorflow/blob/274df9b02330b790aa8de1cee164b70f72b9b244/tensorflow/core/graph/graph.cc#L560-L567):

```cc if (op_reg_data->type_ctor != nullptr) { VLOG(3) << "AddNode: found type constructor for " << node_def.name(); const auto ctor_type = full_type::SpecializeType(AttrSlice(node_def), op_reg_data->op_def); const FullTypeDef ctor_typedef = ctor_type.ValueOrDie(); if (ctor_typedef.type_id() != TFT_UNSET) { *(node_def.mutable_experimental_type()) = ctor_typedef; } } ``` If `ctor_type` is an error status, `ValueOrDie` results in a crash. ### Patches We have patched the issue in GitHub commit [955059813cc325dc1db5e2daa6221271406d4439](https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439). We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected.

### 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.