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 Memory leak in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item-kernel to nullptr but it is a simple OpKernel pointer so the memory that was previously allocated to it...

CVE-2022-23578

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item-kernel to nullptr but it is a simple OpKernel pointer so the memory that was previously allocated to it...

CVE-2022-23578 Memory leak in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of ImmutableExecutorState::Initialize. Here, we set item-kernel to nullptr but it is a simple OpKernel pointer so the memory that was previously allocated to it...

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 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-2022-23572 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-2022-23572 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-2022-23572

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

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 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-2022-23573 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-2022-23585 Memory leak in decoding PNG images in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling png::CommonInitDecode..., &decode, the decode value contains allocated buffers which can only be freed by calling...

CVE-2022-23585 Memory leak in decoding PNG images in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling png::CommonInitDecode..., &decode, the decode value contains allocated buffers which can only be freed by calling...

CVE-2022-23585 Memory leak in decoding PNG images in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling png::CommonInitDecode..., &decode, the decode value contains allocated buffers which can only be freed by calling...

CVE-2022-23585

CVE-2022-23585 refers to a memory-leak vulnerability in TensorFlow's PNG decoding path. After calling png::CommonInitDecode(..., &decode), allocated buffers may remain if an error path triggers OP_REQUIRES, and are not freed before function termination, creating a potential leak. The issue affect...

CVE-2022-23585

Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling png::CommonInitDecode..., &decode, the decode value contains allocated buffers which can only be freed by calling...

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...