Security Vulnerabilities - CVEs Published In 2020
A temp directory creation vulnerability exists in all versions of Guava, allowing an attacker with access to the machine to potentially access data in a temporary directory created by the Guava API com.google.common.io.Files.createTempDir(). By default, on unix-like systems, the created directory is world-readable (readable by an attacker with access to the system). The method in question has been marked @Deprecated in versions 30.0 and later and should not be used. For Android developers, we recommend choosing a temporary directory API provided by Android, such as context.getCacheDir(). For other Java developers, we recommend migrating to the Java 7 API java.nio.file.Files.createTempDirectory() which explicitly configures permissions of 700, or configuring the Java runtime's java.io.tmpdir system property to point to a location whose permissions are appropriately configured.
CVSS Score
3.3
EPSS Score
0.001
Published
2020-12-10
iCMS 7 attackers to execute arbitrary OS commands via shell metacharacters in the DB_PREFIX parameter to install/install.php.
CVSS Score
9.8
EPSS Score
0.004
Published
2020-12-10
iCMS 7.0.14 attackers to execute arbitrary OS commands via shell metacharacters in the DB_NAME parameter to install/install.php.
CVSS Score
9.8
EPSS Score
0.004
Published
2020-12-10
The member center function in fastadmin V1.0.0.20200506_beta is vulnerable to a Server-Side Template Injection (SSTI) vulnerability.
CVSS Score
8.8
EPSS Score
0.005
Published
2020-12-10
Askey AP5100W_Dual_SIG_1.01.097 and all prior versions use a weak password at the Operating System (rlx-linux) level. This allows an attacker to gain unauthorized access as an admin or root user to the device Operating System via Telnet or SSH.
CVSS Score
9.8
EPSS Score
0.007
Published
2020-12-10
In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
CVSS Score
4.4
EPSS Score
0.001
Published
2020-12-10
In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
CVSS Score
4.4
EPSS Score
0.0
Published
2020-12-10
In affected versions of TensorFlow the tf.raw_ops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the memory area. If the file is too small, TensorFlow properly returns an error as the memory area has fewer bytes than what is needed for the tensor it creates. However, as soon as there are enough bytes, the above snippet causes a segmentation fault. This is because the allocator used to return the buffer data is not marked as returning an opaque handle since the needed virtual method is not overridden. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
CVSS Score
4.4
EPSS Score
0.0
Published
2020-12-10
In TensorFlow release candidate versions 2.4.0rc*, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel implementation of GetMatchingPaths but are not verified by the PRs introducing it (#40861 and #44310). Thus, we are completely rewriting the implementation to fully specify and validate these. This is patched in version 2.4.0. This issue only impacts master branch and the release candidates for TF version 2.4. The final release of the 2.4 release will be patched.
CVSS Score
7.5
EPSS Score
0.002
Published
2020-12-10
In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
CVSS Score
4.4
EPSS Score
0.0
Published
2020-12-10