CVE Vulnerabilities

CVE-2018-19362

Deserialization of Untrusted Data

Published: Jan 02, 2019 | Modified: Nov 07, 2023
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
7.3 IMPORTANT
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
Ubuntu
MEDIUM

FasterXML jackson-databind 2.x before 2.9.8 might allow attackers to have unspecified impact by leveraging failure to block the jboss-common-core class from polymorphic deserialization.

Weakness

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

Affected Software

Name Vendor Start Version End Version
Jackson-databind Fasterxml 2.6.0 (including) 2.6.7.2 (including)
Jackson-databind Fasterxml 2.7.0 (including) 2.7.9.5 (excluding)
Jackson-databind Fasterxml 2.8.0 (including) 2.8.11.3 (excluding)
Jackson-databind Fasterxml 2.9.0 (including) 2.9.8 (excluding)
OpenShift Logging 5.0 RedHat openshift-logging/elasticsearch6-rhel8:v5.0.3-1 *
Red Hat Data Grid RedHat jackson-databind *
Red Hat Fuse 6.3 RedHat jackson-databind *
Red Hat Fuse 7.5.0 RedHat jackson-databind *
Red Hat Fuse Intergration Services 2.0 based on Fuse 6.3 R13 RedHat jackson-databind *
Red Hat JBoss BPMS 6.4 RedHat jackson-databind *
Red Hat JBoss BPMS 7.4 RedHat jackson-databind *
Red Hat JBoss BRMS 6.4.12 RedHat jackson-databind *
Red Hat JBoss BRMS 7.4 RedHat jackson-databind *
Red Hat JBoss Data Virtualization 6.4.8 RedHat jackson-databind *
Red Hat JBoss Enterprise Application Platform Continuous Delivery RedHat jackson-databind *
Red Hat OpenShift Container Platform 3.11 RedHat openshift3/ose-logging-elasticsearch5:v3.11.153-2 *
Red Hat OpenShift Container Platform 4.1 RedHat openshift4/ose-logging-elasticsearch5:v4.1.18-201909201915 *
Red Hat OpenShift Container Platform 4.6 RedHat openshift4/ose-logging-elasticsearch6:v4.6.0-202104161407.p0 *
Red Hat Software Collections for Red Hat Enterprise Linux 7 RedHat rh-maven35-jackson-databind-0:2.7.6-2.5.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.4 EUS RedHat rh-maven35-jackson-databind-0:2.7.6-2.5.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.5 EUS RedHat rh-maven35-jackson-databind-0:2.7.6-2.5.el7 *
Red Hat Software Collections for Red Hat Enterprise Linux 7.6 EUS RedHat rh-maven35-jackson-databind-0:2.7.6-2.5.el7 *
Text-Only RHOAR RedHat *
Jackson-databind Ubuntu bionic *
Jackson-databind Ubuntu cosmic *
Jackson-databind Ubuntu devel *
Jackson-databind Ubuntu disco *
Jackson-databind Ubuntu eoan *
Jackson-databind Ubuntu esm-apps/bionic *
Jackson-databind Ubuntu esm-apps/xenial *
Jackson-databind Ubuntu focal *
Jackson-databind Ubuntu groovy *
Jackson-databind Ubuntu hirsute *
Jackson-databind Ubuntu impish *
Jackson-databind Ubuntu jammy *
Jackson-databind Ubuntu kinetic *
Jackson-databind Ubuntu lunar *
Jackson-databind Ubuntu mantic *
Jackson-databind Ubuntu noble *
Jackson-databind Ubuntu oracular *
Jackson-databind Ubuntu trusty *
Jackson-databind Ubuntu trusty/esm *
Jackson-databind Ubuntu upstream *
Jackson-databind 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