CVE Vulnerabilities

CVE-2022-38652

Deserialization of Untrusted Data

Published: Nov 12, 2022 | Modified: Apr 11, 2024
CVSS 3.x
9.9
CRITICAL
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
CVSS 2.x
RedHat/V2
RedHat/V3
Ubuntu

A remote insecure deserialization vulnerability exixsts in VMWare Hyperic Agent 5.8.6. Exploitation of this vulnerability enables a malicious authenticated user to run arbitrary code or malware within a Hyperic Agent instance and its host operating system with the privileges of the Hyperic Agent process (often SYSTEM on Windows platforms). NOTE: prior exploitation of CVE-2022-38650 results in the disclosure of the authentication material required to exploit this vulnerability. NOTE: This vulnerability only affects products that are no longer supported by the maintainer.

Weakness

The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

Affected Software

Name Vendor Start Version End Version
Hyperic_agent Vmware 5.8.6 (including) 5.8.6 (including)

Extended Description

It is often convenient to serialize objects for communication or to save them for later use. However, deserialized data or code can often be modified without using the provided accessor functions if it does not use cryptography to protect itself. Furthermore, any cryptography would still be client-side security – which is a dangerous security assumption. Data that is untrusted can not be trusted to be well-formed. When developers place no restrictions on “gadget chains,” or series of instances and method invocations that can self-execute during the deserialization process (i.e., before the object is returned to the caller), it is sometimes possible for attackers to leverage them to perform unauthorized actions, like generating a shell.

Potential Mitigations

  • Make fields transient to protect them from deserialization.
  • An attempt to serialize and then deserialize a class containing transient fields will result in NULLs where the transient data should be. This is an excellent way to prevent time, environment-based, or sensitive variables from being carried over and used improperly.

References