CVE-2022-23594

TensorFlow MLIR/TFG GraphDef handling flaw: if a SavedModel is on disk with altered format, conversion to the MLIR-based IR can crash the Python interpreter and may enable heap out-of-bounds reads. Affected scope includes the MLIR import path and associated GraphDef assumptions; exploitation deta...

CVE-2022-23590 Crash due to erroneous `StatusOr` in Tensorflow

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...

CVE-2022-23590 Crash due to erroneous `StatusOr` in Tensorflow

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...

CVE-2022-23590 Crash due to erroneous `StatusOr` in Tensorflow

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...

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...

CVE-2022-23590

CVE-2022-23590 affects TensorFlow. A maliciously altered GraphDef from a SavedModel can trigger a crash by calling ValueOrDie on an error StatusOr, crashing the TensorFlow process. Patches exist in GitHub commits and will be included in TensorFlow 2.8.0 and 2.7.1; remediation in practice is to up...

CVE-2022-23591

TensorFlow’s GraphDef format allows self-recursive functions, which can cause a stack overflow when loading a SavedModel. Multiple sources (CVE-2022-23591 and related OSV/GHSA entries) describe the underlying issue as a self-recursive function in GraphDef leading to unbounded resolution of NodeDe...

CVE-2022-23591

Tensorflow is an Open Source Machine Learning Framework. 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. This...

CVE-2022-23591 Stack overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. 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. This...

CVE-2022-23591 Stack overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. 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. This...

CVE-2022-23591 Stack overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. 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. This...

CVE-2022-23593

TensorFlow CVE-2022-23593 affects the MLIR-TFRT simplifyBroadcast path. When shapes are scalar, maxRank becomes 0 and an empty SmallVector is built, leading to a segfault (denial of service). The fix is planned for TensorFlow 2.8.0; upgrading to that version (or newer) is the remediation if appli...

CVE-2022-23593

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector...

CVE-2022-23593 Segfault in `simplifyBroadcast` in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector...

CVE-2022-23593 Segfault in `simplifyBroadcast` in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. If all shapes are scalar, then maxRank is 0, so we build an empty SmallVector...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists due to a lack of validation on the value of batchdim and can result in a heap OOB read causing the system to crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists due to the lack of validation of the value of axis and an out-of-bound access allowing an attacker to crash the system via the implementation of Dequantize...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. The vulnerability exists due to an out-of-bounds in WithRankAtLeast allowing an attacker to crash the system via a segfault caused by a type confusion...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. A faulty bin count operation performed in SparseCountSparseOutput causes an assertion failure, allowing an attacker to pass malicious argument to trigger a CHECK-fail...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists due to a lack of sanitization on the division operation in the convolution parameters allowing an attacker to crash the system via a maliciously crafted TFLite model...