CVE-2022-23573

TensorFlow's AssignOp implementation can copy uninitialized data to a new tensor, causing undefined behavior. This CVE (CVE-2022-23573) affects the TensorFlow core kernel related to AssignOp. The issue arises because the left-hand side is initialized, but the right-hand side is not checked for in...

CVE-2022-23579 `CHECK`-failures during Grappler's `SafeToRemoveIdentity` in Tensorflow

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 SafeToRemoveIdentity would trigger CHECK failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

CVE-2022-23580 Abort caused by allocating a vector that is too large in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, a...

CVE-2022-23580

Summary: CVE-2022-23580 affects TensorFlow; during shape inference, TensorFlow may allocate a very large vector based on a user-controlled tensor value. This can lead to resource exhaustion. The issue has a fix in TensorFlow 2.8.0, with cherry-picks to 2.7.1, 2.6.3, and 2.5.3 for affected support...

CVE-2022-23581

CVE-2022-23581 concerns the Grappler optimizer in TensorFlow. The vulnerability arises when a SavedModel is altered in a way that triggers a CHECK failure in IsSimplifiableReshape, enabling a denial of service. Technical details in the connected documents specify the affected component as the Gra...

CVE-2022-23576 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number ...

CVE-2022-23588

CVE-2022-23588 affects TensorFlow: a malicious SavedModel can trigger Grappler optimizer to build a tensor using a reference dtype, causing a crash via a CHECK-fail in the Tensor constructor. The issue is fixed in TensorFlow 2.8.0; commits are cherry-picked to 2.7.1, 2.6.3, and 2.5.3 for affected...

CVE-2022-23589

CVE-2022-23589 affects the Grappler component of TensorFlow. The vulnerability is a null pointer dereference that can occur during constant folding when SavedModel nodes are missing, and similarly in IsIdentityConsumingSwitch. The fix is in TensorFlow 2.8.0, with cherry-picks to 2.7.1, 2.6.3, and...

CVE-2022-23586

TensorFlow vulnerability CVE-2022-23586 affects the SavedModel path via assertions in function.cc, enabling denial of service by a malicious SavedModel that crashes the Python interpreter. Root cause is CHECK/assertion failures in function.cc when a SavedModel is altered. Affected releases map to...

CVE-2022-23586 Multiple `CHECK`-fails in `function.cc` in Tensorflow

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...

CVE-2022-23583

TensorFlow vulnerability CVE-2022-23583: a type confusion caused by modifying the SavedModel’s tensor protobufs can let a remote attacker trigger CHECK failures in templated binary operators, leading to a denial of service. Affected: various TF releases up to 2.8.x (and cherry-picks on 2.7.1, 2.6...

CVE-2022-23583 `CHECK`-failures in binary ops in Tensorflow

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...

CVE-2022-23582 `CHECK`-failures in `TensorByteSize` in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. TensorShape constructor throws a CHECK-fail if shape is partial or has a number of elements that would overflow t...

CVE-2022-23582

CVE-2022-23582 affects TensorFlow: a malicious SavedModel can trigger a denial of service via TensorByteSize CHECK failures caused by shape handling in TensorShape/PartialTensorShape (shape partials or large element counts). Root cause is TensorShape throwing on partial/large shapes; PartialTenso...

CVE-2022-23584 Use after free in `DecodePng` in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After png::CommonFreeDecode&decode gets called, the values of decode.width and decode.height are in an unspecified state. The fix will be included in TensorFlow...

CVE-2022-23584

TensorFlow PNG decoding contains a use-after-free in png::CommonFreeDecode(&decode) where, after the call, decode.width and decode.height are in an unspecified state. This TF vulnerability (CVE-2022-23584) affects the TensorFlow PNG decode path and can lead to memory corruption or crashes when de...

CVE-2022-23587

CVE-2022-23587 concerns TensorFlow, specifically the Grappler cost-estimator path. The vulnerability is an integer overflow in the cost estimation for crop and resize within Grappler, triggered by user-controlled cropping parameters, which can lead to undefined behavior. The patch is committed (c...

CVE-2022-23592

CVE-2022-23592 : TensorFlow’s type inference can trigger a heap out-of-bounds read when input_idx controls ix, risking access beyond node_t.args. This occurs because bounds checks run via DCHECK (no-op in production). The issue affects the TensorFlow release line noted as the only affected versio...

CVE-2022-23587 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior...

CVE-2022-23595 Null pointer dereference in TensorFlow

Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so flr-configproto is nullptr. The fix will be included in TensorFlow...