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...

Google Tensorflow 代码问题漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow has a code issue vulnerability that stems from the simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow being prone to segmentation errors. No detailed...

PT-2022-16076 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions 2.5.3 through 2.7.1 TensorFlow version 2.8.0 is not affected, as it includes the fix. Description: An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits...

Google TensorFlow 安全漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google TensorFlow has a security vulnerability that could be exploited by an attacker to cause a denial of service by changing SavedModel...

Google Tensorflow 安全漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google Tensorflow has a security vulnerability that could be exploited to cause a denial of service by modifying SavedModel to trigger a CHECK failure...