9374 matches found
Denial Of Service (DoS)
tensorflow is vulnerable to denial of service. A NULL pointer dereference in the linked snippet in eager mode allows an attacker to crash the application via segmentation fault when ctx-sessionstate returns nullptr...
EulerOS 2.0 SP3 : sqlite (EulerOS-SA-2020-2059)
According to the versions of the sqlite packages installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : - flattenSubquery in select.c in SQLite 3.30.1 mishandles certain uses of SELECT DISTINCT involving a LEFT JOIN in which the right-hand side is a...
EulerOS 2.0 SP3 : nss (EulerOS-SA-2020-2100)
According to the versions of the nss packages installed, the EulerOS installation on the remote host is affected by the following vulnerabilities : - A cached side channel attack during handshakes using RSA encryption could allow for the decryption of encrypted content. This is a variant of the...
Google TensorFlow code issue vulnerability (CNVD-2020-54473)
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in TensorFlow eager mode versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1, and 2.3.1, which can be exploited by attackers to cause segmentation errors...
Debian: Security Advisory (DLA-2381-1)
The remote host is missing an update for the Debian SPDX-FileCopyrightText: 2020 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...
[SECURITY] [DLA 2381-1] lua5.3 security update
Debian LTS Advisory DLA-2381-1 [email protected] https://www.debian.org/lts/security/ Roberto C. Sánchez September 26, 2020 https://wiki.debian.org/LTS Package : lua5.3 Version : 5.3.3-1+deb9u1 CVE ID : CVE-2020-24370 A vulnerability was discovered in lua5.3, a simple, extensible,...
CVE-2020-15212
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...
CVE-2020-15214
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...
CVE-2020-15210
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b a...
CVE-2020-15210
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b a...
CVE-2020-15214
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...
CVE-2020-15203
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the fill argument of tf.strings.asstring, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a printf call is constructed. This may result in segmentati...
CVE-2020-15204
In eager mode, TensorFlow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1 does not set the session state. Hence, calling tf.rawops.GetSessionHandle or tf.rawops.GetSessionHandleV2 results in a null pointer dereference In linked snippet, in eager mode, ctx-sessionstate returns nullptr. Since...
CVE-2020-15190
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the tf.rawops.Switch operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. Howeve...
PYSEC-2020-133
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b a...
PYSEC-2020-123
In Tensorflow before version 2.3.1, the RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the code sets ...
PYSEC-2020-270
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the tf.rawops.Switch operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. Howeve...
PYSEC-2020-137
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...
PYSEC-2020-329
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...
PYSEC-2020-270
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the tf.rawops.Switch operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. Howeve...