SUSE CVE-2022-23583

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer...

SUSE CVE-2022-23581

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that IsSimplifiableReshape would trigger CHECK failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

SUSE CVE-2022-23586

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that assertions in function.cc would be falsified and crash the Python interpreter. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this comm...

SUSE CVE-2022-23588

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype. This would result in a crash due to a CHECK-fail in the Tensor constructor as...

SUSE CVE-2022-23589

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a SavedModel file fixing the first one would trigger the same...

SUSE CVE-2022-23590

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...

SUSE CVE-2022-23594

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow MLIR makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef i...

GHSA-GJQC-Q9G6-Q2J3 `CHECK`-failures in binary ops in Tensorflow

Impact A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that cas...

`CHECK`-failures in binary ops in Tensorflow

Impact A malicious user can cause a denial of service by altering a SavedModel such that any binary op would trigger CHECK failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the dtype no longer matches the dtype expected by the op. In that cas...

`CHECK`-failures in `TensorByteSize` in Tensorflow

Impact A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. cc int64t TensorByteSizeconst TensorProto& t // numelements returns -1 if shape is not fully defined. int64t numelems = TensorShapet.tensorshape.numelements; retur...

GHSA-4J82-5CCR-4R8V `CHECK`-failures in `TensorByteSize` in Tensorflow

Impact A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. cc int64t TensorByteSizeconst TensorProto& t // numelements returns -1 if shape is not fully defined. int64t numelems = TensorShapet.tensorshape.numelements; retur...

GHSA-5F2R-QP73-37MR `CHECK`-failures during Grappler's `SafeToRemoveIdentity` in Tensorflow

Impact The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that SafeToRemoveIdentity would trigger CHECK failures. Patches We have patched the issue in GitHub commit 92dba16749fae36c246bec3f9ba474d9ddeb7662. The fix will be included in...

`CHECK`-failures in Tensorflow

Impact An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated. Patches We have patched the issue in GitHub commit c2b31ff2d3151acb230edc3f5b1832d2c713a9e0. The fix will be included in TensorFlow 2.8.0. W...

Out of bounds read in Tensorflow

Impact The TFG dialect of TensorFlow MLIR makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can...

Stack overflow in TensorFlow

Impact The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel: library function signature name: "SomeOp" description:...

`CHECK`-fails due to attempting to build a reference tensor

Impact A malicious user can cause a denial of service by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype. This would result in a crash due to a CHECK-fail in the Tensor constructor as reference types are not allowed. Patches We have patch...

GHSA-FX5C-H9F6-RV7C `CHECK`-fails due to attempting to build a reference tensor

Impact A malicious user can cause a denial of service by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype. This would result in a crash due to a CHECK-fail in the Tensor constructor as reference types are not allowed. Patches We have patch...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. An attacker is able to alter a SavedModel on disk such that AttrDefs of some operation are duplicated, causing an assertion failure and application crash...

Google Tensorflow has an unspecified vulnerability (CNVD-2022-09891)

Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google TensorFlow has a security vulnerability that could be exploited by an attacker to cause a denial of service by changing SavedModel...

Google Tensorflow has an unspecified vulnerability (CNVD-2022-09882)

Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google Tensorflow has a security vulnerability that could be exploited to cause a denial of service by modifying SavedModel to trigger a CHECK failure...