CVE-2022-23564

CVE-2022-23564 (TensorFlow) : The issue is a denial-of-service in TensorFlow caused by an invalidated CHECK assertion when decoding a resource handle tensor from protobuf, triggered by user-controlled arguments. Affected: TensorFlow (TF) processes; root cause is an assertion failure path during r...

CVE-2022-23564 Reachable Assertion in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow...

CVE-2022-23564 Reachable Assertion in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow...

CVE-2022-23565

CVE-2022-23565 : TensorFlow contains a denial-of-service risk caused by an assertion failure when a SavedModel on disk has duplicated AttrDef entries for an operation. The issue’s root cause is described across connected sources as a SavedModel mismatch that can trigger a crash under certain on-d...

CVE-2022-23565 `CHECK`-failures in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...

CVE-2022-23565 `CHECK`-failures in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...

CVE-2022-23562 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...

CVE-2022-23562 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...

CVE-2022-23562

Tensorflow is an Open Source Machine Learning Framework. The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...

CVE-2022-23562

TensorFlow vulnerability CVE-2022-23562 concerns the Range implementation: integer overflows in Range can cause undefined behavior or extremely large allocations. Public notes indicate a fix will be included in TensorFlow 2.8.0, with cherry-picks to affected supported releases (2.7.1, 2.6.3, 2.5....

CVE-2022-23563 Insecure temporary file in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses tempfile.mktemp to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in...

CVE-2022-23563 Insecure temporary file in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses tempfile.mktemp to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in...

CVE-2022-23563

Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses tempfile.mktemp to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in...

CVE-2022-23563

TensorFlow (CVE-2022-23563) describes a TOCTOU race caused by tempfile.mktemp usage, where a temporary file could be created by another process between the check and the actual creation. Several connected sources confirm this insecure temporary-file pattern and note that the fix replaces mktemp w...

CVE-2022-23559

TensorFlow/TensorFlow Lite contains an integer overflow in embedding_lookup_sparse within TFLite. The vulnerability arises because embedding_size and lookup_size are computed as products of user-supplied values, enabling overflow during multiplication and potentially leading to a heap-based out-o...

CVE-2022-23559

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both embeddingsize and lookupsize are products of values provided by the user. Hence, a malicious user could trigger overflows in the...

CVE-2022-23559 Integer overflow in TFLite

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both embeddingsize and lookupsize are products of values provided by the user. Hence, a malicious user could trigger overflows in the...

CVE-2022-23559 Integer overflow in TFLite

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both embeddingsize and lookupsize are products of values provided by the user. Hence, a malicious user could trigger overflows in the...

CVE-2022-23560 Read and Write outside of bounds in TFLite

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We...

CVE-2022-23560

CVE-2022-23560 affects TensorFlow/TFLite: a vulnerability in converting sparse tensors to dense tensors allows limited reads/writes outside array bounds due to missing validation in sparsity_format_converter. The issue is addressed with the TensorFlow 2.8.0 fix, with cherry-picks to 2.7.1, 2.6.3,...