CVE-2022-36011
TensorFlow vulnerable to null dereference on MLIR on empty function attributes
Description
### Impact When [`mlir::tfg::ConvertGenericFunctionToFunctionDef`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/functiondef_import.cc) is given empty function attributes, it gives a null dereference. ```cpp // Import the function attributes with a `tf.` prefix to match the current // infrastructure expectations. for (const auto& namedAttr : func.attr()) { const std::string& name = "tf." + namedAttr.first; const AttrValue& tf_attr = namedAttr.second; TF_ASSIGN_OR_RETURN(Attribute attr, ConvertAttributeValue(tf_attr, builder, tfgDialect)); attrs.append(name, attr); } ``` If `namedAttr.first` is empty, it will crash. ### Patches We have patched the issue in GitHub commit [1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b](https://github.com/tensorflow/tensorflow/commit/1cf45b831eeb0cab8655c9c7c5d06ec6f45fc41b). 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.
How to fix CVE-2022-36011
To remediate CVE-2022-36011, upgrade the affected package to a fixed version below.
- —upgrade to 2.7.2 or later
- —upgrade to 2.7.2 or later
- —upgrade to 2.7.2 or later
- —upgrade to 2.7.2 or later
Is CVE-2022-36011 being exploited?
Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.