Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

GHSA-XF83-Q765-XM6M `CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode

Impact Another instance of CVE-2022-35991, where TensorListScatter and TensorListScatterV2 crash via non scalar inputs inelementshape, was found in eager mode and fixed. python import tensorflow as tf arg0=tf.random.uniformshape=2, 2, 2, dtype=tf.float16, maxval=None arg1=tf.random.uniformshape=2...

GHSA-66VQ-54FQ-6JVV Segfault in `tf.raw_ops.TensorListConcat`

Impact If tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack. python import tensorflow as tf tf.rawops.TensorListConcat inputhandle=tf.data.experimental.tovarianttf.data.Dataset.fromtensorslices1, 2, 3,...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Mozilla: Use-after-free of a JavaScript Realm

The Mozilla Foundation Security Advisory describes this flaw as: If an out-of-memory condition occurred when creating a JavaScript global, a JavaScript realm may be deleted while references to it lived on in a BaseShape. This could lead to a use-after-free causing a potentially exploitable crash...

Denial of Service (DoS)

Overview Affected versions of this package are vulnerable to Denial of Service DoS when tf.rawops.TensorListConcat is given elementshape=. Details Denial of Service DoS describes a family of attacks, all aimed at making a system inaccessible to its intended and legitimate users. Unlike other...

AZL-11530 CVE-2022-41891 affecting package tensorflow for versions less than 2.11.0-1

TensorFlow is an open source platform for machine learning. If tf.rawops.TensorListConcat is given elementshape=, it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix wil...

Stack overflow

TensorFlow is an open source platform for machine learning. An input sparsematrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.rawops.SparseMatrixNNZ. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in...

CVE-2022-41901

CVE-2022-41901 affects TensorFlow. The issue is a CHECK fail in tf.raw_ops.SparseMatrixNNZ triggered when input tensor is not a rank-0 matrix, which can cause a crash (denial of service). Fixed in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693; the fix will be included in TensorFlow 2.11 ...

PT-2022-26121

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.11 TensorFlow versions 2.10.1, 2.9.3, and 2.8.4 Description The issue arises when BCast::ToShape is given input larger than an int32, causing it to crash despite being supposed to handle up to an int64. An exampl...

Google TensorFlow 安全漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial of service vulnerability exists in Google TensorFlow versions prior to 2.8.4, 2.9.0 and later, 2.9.3 and later, 2.10.0 and later, and 2.10.1. TensorListConcat" is given "elementshape=", resulti...

PT-2022-26115

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.11 TensorFlow version 2.10.1 TensorFlow version 2.9.3 TensorFlow version 2.8.4 Description The issue arises when a numpy array is created with a shape such that one element is zero and the others sum to a large...