CVE Vulnerabilities

CVE-2016-6814

Deserialization of Untrusted Data

Published: Jan 18, 2018 | Modified: Jul 15, 2020
CVSS 3.x
9.8
CRITICAL
Source:
NVD
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CVSS 2.x
7.5 HIGH
AV:N/AC:L/Au:N/C:P/I:P/A:P
RedHat/V2
RedHat/V3
9.6 IMPORTANT
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Ubuntu
MEDIUM

When an application with unsupported Codehaus versions of Groovy from 1.7.0 to 2.4.3, Apache Groovy 2.4.4 to 2.4.7 on classpath uses standard Java serialization mechanisms, e.g. to communicate between servers or to store local data, it was possible for an attacker to bake a special serialized object that will execute code directly when deserialized. All applications which rely on serialization and do not isolate the code which deserializes objects were subject to this vulnerability.

Weakness

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

Affected Software

Name Vendor Start Version End Version
Groovy Apache 1.7.0 (including) 2.4.3 (including)
Groovy Apache 2.4.4 (including) 2.4.7 (including)
Red Hat Enterprise Linux 7 RedHat groovy-0:1.8.9-8.el7_4 *
Red Hat JBoss A-MQ 6.3 RedHat *
Red Hat JBoss Data Virtualization 6.3 RedHat groovy *
Red Hat JBoss Fuse 6.3 RedHat *
Red Hat Software Collections for Red Hat Enterprise Linux 6 RedHat rh-maven33-groovy-0:1.8.9-7.19.el6 *
Red Hat Software Collections for Red Hat Enterprise Linux 6.7 EUS RedHat rh-maven33-groovy-0:1.8.9-7.19.el6 *
Red Hat Software Collections for Red Hat Enterprise Linux 7 RedHat rh-maven33-groovy-0:1.8.9-7.19.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.3 EUS RedHat rh-maven33-groovy-0:1.8.9-7.19.el7 *
Groovy Ubuntu esm-apps/xenial *
Groovy Ubuntu precise *
Groovy Ubuntu trusty *
Groovy Ubuntu upstream *
Groovy Ubuntu xenial *
Groovy Ubuntu yakkety *
Groovy2 Ubuntu esm-apps/xenial *
Groovy2 Ubuntu xenial *

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