CVE Vulnerabilities

CVE-2022-1415

Deserialization of Untrusted Data

Published: Sep 11, 2023 | Modified: May 03, 2024
CVSS 3.x
8.8
HIGH
Source:
NVD
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
RedHat/V2
RedHat/V3
8.1 MODERATE
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
Ubuntu

A flaw was found where some utility classes in Drools core did not use proper safeguards when deserializing data. This flaw allows an authenticated attacker to construct malicious serialized objects (usually called gadgets) and achieve code execution on the server.

Weakness

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

Affected Software

Name Vendor Start Version End Version
Decision_manager Redhat 7.0 (including) 7.0 (including)
Drools Redhat 7.69.0 (including) 7.69.0 (including)
Jboss_middleware_text-only_advisories Redhat - (including) - (including)
Process_automation Redhat 7.0 (including) 7.0 (including)
RHPAM 7.13.1 async RedHat *

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