AZL-6745 CVE-2021-22940 affecting package nodejs for versions less than 16.14.0-1

Node.js before 16.6.1, 14.17.5, and 12.22.5 is vulnerable to a use after free attack where an attacker might be able to exploit the memory corruption, to change process behavior...

CVE-2021-22940

Node.js before 16.6.1, 14.17.5, and 12.22.5 is vulnerable to a use after free attack where an attacker might be able to exploit the memory corruption, to change process behavior...

Memory corruption

Node.js before 16.6.1, 14.17.5, and 12.22.5 is vulnerable to a use after free attack where an attacker might be able to exploit the memory corruption, to change process behavior...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. Empty tensors are not validated which allows an attacker to cause an undefined behavior by binding a reference to null pointer in tf.rawops.SparseFillEmptyRows...

CVE-2021-22940

Node.js before 16.6.1, 14.17.5, and 12.22.5 is vulnerable to a use after free attack where an attacker might be able to exploit the memory corruption, to change process behavior...

CVE-2021-22940

Node.js before 16.6.1, 14.17.5, and 12.22.5 is vulnerable to a use after free attack where an attacker might be able to exploit the memory corruption, to change process behavior...

CVE-2021-22940

CVE-2021-22940 affects Node.js before 16.6.1, 14.17.5, and 12.22.5 and is a use-after-free memory corruption issue in HTTP/2 close handling that could change process behavior. Exploitation details are present in connected sources (e.g., Arch Linux advisories) indicating remediation via upgrading ...

CVE-2021-37665

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

CVE-2021-37665

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-776

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

CVE-2021-37665

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-287

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

Null pointer dereference

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in tf.rawops.QuantizeV2, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. Th...

PYSEC-2021-578

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-776

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

CVE-2021-37665 Incomplete validation in MKL requantization in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

CVE-2021-37665

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

PYSEC-2021-288

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case...

PYSEC-2021-777

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.RaggedTensorToVariant. The implementation has an incomplete validation of the splits values, missing the case...

PYSEC-2021-293

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.Map and tf.rawops.OrderedMap operations. The implementation has a check in place to ensure that indices is in...