This vulnerability allows remote attackers to execute arbitrary code on affected installations of SolarWinds Network Performance Monitor 2020.2.1. Authentication is not required to exploit this vulnerability. The specific flaw exists within the SolarWinds.Serialization library. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of SYSTEM. Was ZDI-CAN-12213.

A vulnerability found in libxml2 in versions before 2.9.11 shows that it did not propagate errors while parsing XML mixed content, causing a NULL dereference. If an untrusted XML document was parsed in recovery mode and post-validated, the flaw could be used to crash the application. The highest threat from this vulnerability is to system availability.

A vulnerability was discovered in the PyYAML library in versions before 5.4, where it is susceptible to arbitrary code execution when it processes untrusted YAML files through the full_load method or with the FullLoader loader. Applications that use the library to process untrusted input may be vulnerable to this flaw. This flaw allows an attacker to execute arbitrary code on the system by abusing the python/object/new constructor. This flaw is due to an incomplete fix for CVE-2020-1747.

Red Hat JBoss A-MQ 6.x; BPM Suite (BPMS) 6.x; BRMS 6.x and 5.x; Data Grid (JDG) 6.x; Data Virtualization (JDV) 6.x and 5.x; Enterprise Application Platform 6.x, 5.x, and 4.3.x; Fuse 6.x; Fuse Service Works (FSW) 6.x; Operations Network (JBoss ON) 3.x; Portal 6.x; SOA Platform (SOA-P) 5.x; Web Server (JWS) 3.x; Red Hat OpenShift/xPAAS 3.x; and Red Hat Subscription Asset Manager 1.3 allow remote attackers to execute arbitrary commands via a crafted serialized Java object, related to the Apache Commons Collections (ACC) library.

The HTTP/2 protocol allows a denial of service (server resource consumption) because request cancellation can reset many streams quickly, as exploited in the wild in August through October 2023.

Aria Operations for Networks contains an information disclosure vulnerability. A malicious actor with network access to VMware Aria Operations for Networks may be able to perform a command injection attack resulting in information disclosure.

Aria Operations for Networks contains an authenticated deserialization vulnerability. A malicious actor with network access to VMware Aria Operations for Networks and valid 'member' role credentials may be able to perform a deserialization attack resulting in remote code execution.

A vulnerability in the Vector Packet Processor (VPP) of Cisco Packet Data Network Gateway (PGW) could allow an unauthenticated, remote attacker to stop ICMP traffic from being processed over an IPsec connection. This vulnerability is due to the VPP improperly handling a malformed packet. An attacker could exploit this vulnerability by sending a malformed Encapsulating Security Payload (ESP) packet over an IPsec connection. A successful exploit could allow the attacker to stop ICMP traffic over an IPsec connection and cause a denial of service (DoS).

A timing based side channel exists in the OpenSSL RSA Decryption implementation which could be sufficient to recover a plaintext across a network in a Bleichenbacher style attack. To achieve a successful decryption an attacker would have to be able to send a very large number of trial messages for decryption. The vulnerability affects all RSA padding modes: PKCS#1 v1.5, RSA-OEAP and RSASVE. For example, in a TLS connection, RSA is commonly used by a client to send an encrypted pre-master secret to the server. An attacker that had observed a genuine connection between a client and a server could use this flaw to send trial messages to the server and record the time taken to process them. After a sufficiently large number of messages the attacker could recover the pre-master secret used for the original connection and thus be able to decrypt the application data sent over that connection.

vRealize Network Insight (vRNI) contains a command injection vulnerability present in the vRNI REST API. A malicious actor with network access to the vRNI REST API can execute commands without authentication.