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CVE Vulnerability

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NVD-CWE-Other

CVE-2020-26911

February 26, 2023 by

Certain NETGEAR devices are affected by lack of access control at the function level. This affects D6200 before 1.1.00.38, D7000 before 1.0.1.78, JR6150 before 1.0.1.24, R6020 before 1.0.0.42, R6050 before 1.0.1.24, R6080 before 1.0.0.42, R6120 before 1.0.0.66, R6220 before 1.1.0.100, R6260 before 1.1.0.64, R6700v2 before 1.2.0.62, R6800 before 1.2.0.62, R6900v2 before 1.2.0.62, R7450 before 1.2.0.62, and WNR2020 before 1.1.0.62.

CVE-2020-26916

February 26, 2023 by

Certain NETGEAR devices are affected by incorrect configuration of security settings. This affects D6200 before 1.1.00.38, D7000 before 1.0.1.78, JR6150 before 1.0.1.24, R6020 before 1.0.0.42, R6050 before 1.0.1.24, R6080 before 1.0.0.42, R6120 before 1.0.0.66, R6220 before 1.1.0.100, R6260 before 1.1.0.64, R6700v2 before 1.2.0.62, R6800 before 1.2.0.62, R6900v2 before 1.2.0.62, R7450 before 1.2.0.50, and WNR2020 before 1.1.0.62.

CVE-2020-26919

February 26, 2023 by

NETGEAR JGS516PE devices before 2.6.0.43 are affected by lack of access control at the function level.

CVE-2020-26831

February 26, 2023 by

SAP BusinessObjects BI Platform (Crystal Report), versions – 4.1, 4.2, 4.3, does not sufficiently validate uploaded XML entities during crystal report generation due to missing XML validation, An attacker with basic privileges can inject some arbitrary XML entities leading to internal file disclosure, internal directories disclosure, Server-Side Request Forgery (SSRF) and denial-of-service (DoS).

CVE-2020-26541

February 26, 2023 by

The Linux kernel through 5.8.13 does not properly enforce the Secure Boot Forbidden Signature Database (aka dbx) protection mechanism. This affects certs/blacklist.c and certs/system_keyring.c.

CVE-2020-26268

February 26, 2023 by

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.

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