Adobe Acrobat and Reader versions 2019.021.20061 and earlier, 2017.011.30156 and earlier, 2017.011.30156 and earlier, and 2015.006.30508 and earlier have a stack exhaustion vulnerability. Successful exploitation could lead to memory leak .

A memory initialization issue was addressed with improved memory handling. This issue is fixed in iOS 13.4 and iPadOS 13.4, macOS Catalina 10.15.4, tvOS 13.4, watchOS 6.2. An application may be able to read restricted memory.

In VMware ESXi (6.7 before ESXi670-201908101-SG, 6.5 before ESXi650-202007101-SG), Workstation (15.x before 15.1.0), Fusion (11.x before 11.1.0), the VMCI host drivers used by VMware hypervisors contain a memory leak vulnerability. A malicious actor with access to a virtual machine may be able to trigger a memory leak issue resulting in memory resource exhaustion on the hypervisor if the attack is sustained for extended periods of time.

VMware ESXi (6.7 before ESXi670-202004101-SG and 6.5 before ESXi650-202005401-SG), VMware Workstation (15.x before 15.1.0) and VMware Fusion (11.x before 11.1.0) contain a memory leak vulnerability in the VMCI module. A malicious actor with local non-administrative access to a virtual machine may be able to crash the virtual machine's vmx process leading to a partial denial of service.

Adobe Acrobat and Reader versions 2019.021.20061 and earlier, 2017.011.30156 and earlier, 2017.011.30156 and earlier, and 2015.006.30508 and earlier have a stack exhaustion vulnerability. Successful exploitation could lead to memory leak .

A logic issue was addressed with improved state management. This issue is fixed in Security Update 2021-005 Catalina, macOS Big Sur 11.6. A remote attacker may be able to leak memory.

The actions implementation in the network queueing functionality in the Linux kernel before 2.6.36-rc2 does not properly initialize certain structure members when performing dump operations, which allows local users to obtain potentially sensitive information from kernel memory via vectors related to (1) the tcf_gact_dump function in net/sched/act_gact.c, (2) the tcf_mirred_dump function in net/sched/act_mirred.c, (3) the tcf_nat_dump function in net/sched/act_nat.c, (4) the tcf_simp_dump function in net/sched/act_simple.c, and (5) the tcf_skbedit_dump function in net/sched/act_skbedit.c.

Adobe Acrobat and Reader versions 2020.009.20074 and earlier, 2020.001.30002, 2017.011.30171 and earlier, and 2015.006.30523 and earlier have a disclosure of sensitive data vulnerability. Successful exploitation could lead to memory leak.

A Memory Leak vulnerability exists in SQLite Project SQLite3 3.35.1 and 3.37.0 via maliciously crafted SQL Queries (made via editing the Database File), it is possible to query a record, and leak subsequent bytes of memory that extend beyond the record, which could let a malicious user obtain sensitive information. NOTE: The developer disputes this as a vulnerability stating that If you give SQLite a corrupted database file and submit a query against the database, it might read parts of the database that you did not intend or expect.