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

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-2022-23565

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-2022-23562

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-2022-23562 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-2022-23563

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-2022-23560

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,...

CVE-2022-23574

CVE-2022-23574 affects TensorFlow. A typo in SpecializeType leads to a heap out-of-bounds read/write by initializing arg to the i-th mutable argument in a loop, enabling writes/read beyond bounds. The issue is fixed in TensorFlow 2.8.0, with cherry-picks for TensorFlow 2.7.1 and 2.6.3. Affected r...

CVE-2022-23571

CVE-2022-23571 concerns TensorFlow, where decoding a tensor from protobuf can trigger a invalid CHECK assertion when tensors have an invalid dtype with 0 elements or an invalid shape, enabling a denial-of-service in affected TF processes. Root cause: CHECK failure during tensor protobuf decoding....

CVE-2022-23566 Out of bounds write in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in Grappler. The setoutput function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also...

CVE-2022-23566 Out of bounds write in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in Grappler. The setoutput function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also...

CVE-2022-23566

CVE-2022-23566 describes a heap out-of-bounds write in TensorFlow Grappler caused by the set_output function writing to an array at a specified index, enabling a potential write primitive. The issue is fixed in TensorFlow 2.8.0, with cherry-picks planned for TensorFlow 2.7.1, 2.6.3, and 2.5.3 (th...

CVE-2022-23577

CVE-2022-23577 : TensorFlow contains a null-pointer dereference in GetInitOp that can crash. The issue is documented with a fix in TensorFlow 2.8.0 and cherry-picks to 2.7.1, 2.6.3, and 2.5.3. Affected lines and patch are described in linked advisories (GitHub commit 4f38b1ac…, security advisorie...

CVE-2022-23578

TensorFlow vulnerability CVE-2022-23578 describes a memory leak: if a graph node is invalid, ImmutableExecutorState::Initialize can leak the previously allocated memory when item->kernel is reset to nullptr. The issue affects TensorFlow; the fix is planned for TensorFlow 2.8.0, with cherry-pic...

CVE-2022-23572

TensorFlow CVE-2022-23572 concerns a crash/denial of service caused by failure to specialize a type during shape inference. Root cause: DCHECK(ret.status()) is a no-op in production and asserts in debug builds, allowing execution to proceed to ValueOrDie with an error Status, causing an assertion...

CVE-2022-23572 Crash when type cannot be specialized in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first cas...

CVE-2022-23573 Uninitialized variable access in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of AssignOp can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized to minimize number of...

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...