Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(…, &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
CWE-401
CVE-2022-23578
Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item->kernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
CVE-2022-23159
Dell PowerScale OneFS, 8.2.2 – 9.3.0.x, contain a missing release of memory after effective lifetime vulnerability. An authenticated user with ISI_PRIV_LOGIN_SSH and/or ISI_PRIV_LOGIN_CONSOLE and ISI_PRIV_AUTH_PROVIDERS privileges could exploit this vulnerability, leading to a Denial-Of-Service. This can also impact a cluster in Compliance mode. Dell recommends to update at the earliest opportunity.
CVE-2022-22336
IBM Sterling External Authentication Server and IBM Sterling Secure Proxy 6.0.3.0, 6.0.2.0, and 3.4.3.2 could allow a remote user to consume resources causing a denial of service due to a resource leak. IBM X-Force ID: 219395.
CVE-2022-22240
An Allocation of Resources Without Limits or Throttling and a Missing Release of Memory after Effective Lifetime vulnerability in the routing protocol daemon (rpd) of Juniper Networks Junos OS and Junos OS Evolved allows a locally authenticated low privileged attacker to cause a Denial of Sevice (DoS). In a high-scaled BGP routing environment with rib-sharding enabled, two issues may occur when executing a specific CLI command. One is a memory leak issue with rpd where the leak rate is not constant, and the other is a temporary spike in rpd memory usage during command execution. This issue affects: Juniper Networks Junos OS 19.4 versions prior to 19.4R3-S9; 20.2 versions prior to 20.2R3-S5; 20.3 versions prior to 20.3R3-S2; 20.4 versions prior to 20.4R3-S1; 21.1 versions prior to 21.1R3; 21.2 versions prior to 21.2R1-S2, 21.2R2-S1, 21.2R3; 21.3 versions prior to 21.3R2. Juniper Networks Junos OS Evolved All versions prior to 20.4R3-S1-EVO; 21.1-EVO version 21.1R1-EVO and later versions; 21.2-EVO versions prior to 21.2R1-S2-EVO, 21.2R3-EVO; 21.3-EVO versions prior to 21.3R2-EVO. This issue does not affect Juniper Networks Junos OS versions prior to 19.2R1.
CVE-2022-22168
An Improper Validation of Specified Type of Input vulnerability in the kernel of Juniper Networks Junos OS allows an unauthenticated adjacent attacker to trigger a Missing Release of Memory after Effective Lifetime vulnerability. Continued exploitation of this vulnerability will eventually lead to an FPC reboot and thereby a Denial of Service (DoS). This issue affects: Juniper Networks Junos OS on vMX and MX150: All versions prior to 19.2R1-S8, 19.2R3-S4; 19.3 versions prior to 19.3R3-S5; 19.4 versions prior to 19.4R2-S5, 19.4R3-S6; 20.1 versions prior to 20.1R3-S2; 20.2 versions prior to 20.2R3-S3; 20.3 versions prior to 20.3R3-S1; 20.4 versions prior to 20.4R3; 21.1 versions prior to 21.1R2-S1, 21.1R3; 21.2 versions prior to 21.2R1-S1, 21.2R2; 21.3 versions prior to 21.3R1-S1, 21.3R2.