CVE-2020-36179

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Last Modified: UTC

Description

A flaw was found in jackson-databind. FasterXML mishandles the interaction between serialization gadgets and typing. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.

A flaw was found in jackson-databind. FasterXML mishandles the interaction between serialization gadgets and typing. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.

Statement

The following Red Hat products do ship the vulnerable component, but do not enable the unsafe conditions needed to exploit, lowering their vulnerability impact: * JBoss Data Grid 7 * Business Process Management Suite 6 * Business Rules Management Suite 6 * JBoss Data Virtualization 6 * Red Hat Fuse Service Works 6 * Red Hat OpenStack Platform * Red Hat OpenShift containers: ose-metering-hadoop, ose-metering-hive, ose-logging-elasticsearch5, ose-logging-elasticsearch6 These products may update the jackson-databind dependency in a future release. In Red Hat Openshift 4 there are no plans to maintain the ose-logging-elasticsearch5 container, therefore it has been marked wontfix at this time and may be fixed in a future update. The following Red Hat products ship OpenDaylight, which contains the vulnerable jackson-databind, but do not expose jackson-databind in a way that would make it exploitable: * Red Hat OpenStack Platform 13 As such, Red Hat will not be providing a fix for OpenDaylight at this time. The following Red Hat products are not affected by this flaw because they use a more recent version of jackson-databind that does not contain the vulnerable code: * CodeReady Studio 12.16.0 * Red Hat Enterprise Linux 8 * Red Hat Enterprise Virtualization * Red Hat Satellite 6 * Red Hat OpenShift container: ose-metering-presto

The following Red Hat products do ship the vulnerable component, but do not enable the unsafe conditions needed to exploit, lowering their vulnerability impact:

  • JBoss Data Grid 7
  • Business Process Management Suite 6
  • Business Rules Management Suite 6
  • JBoss Data Virtualization 6
  • Red Hat Fuse Service Works 6
  • Red Hat OpenStack Platform
  • Red Hat OpenShift containers: ose-metering-hadoop, ose-metering-hive, ose-logging-elasticsearch5, ose-logging-elasticsearch6
    These products may update the jackson-databind dependency in a future release.

In Red Hat Openshift 4 there are no plans to maintain the ose-logging-elasticsearch5 container, therefore it has been marked wontfix at this time and may be fixed in a future update.

The following Red Hat products ship OpenDaylight, which contains the vulnerable jackson-databind, but do not expose jackson-databind in a way that would make it exploitable:

  • Red Hat OpenStack Platform 13 As such, Red Hat will not be providing a fix for OpenDaylight at this time.

The following Red Hat products are not affected by this flaw because they use a more recent version of jackson-databind that does not contain the vulnerable code:

  • CodeReady Studio 12.16.0
  • Red Hat Enterprise Linux 8
  • Red Hat Enterprise Virtualization
  • Red Hat Satellite 6
  • Red Hat OpenShift container: ose-metering-presto

Mitigation

The following conditions are needed for an exploit, we recommend avoiding all if possible:
* Deserialization from sources you do not control
* `enableDefaultTyping()`
* `@JsonTypeInfo using `id.CLASS` or `id.MINIMAL_CLASS`
* avoid: oadd.org.apache.commons.dbcp.cpdsadapter.DriverAdapterCPDS, org.apache.commons.dbcp2.cpdsadapter.DriverAdapterCPDS, org.apache.tomcat.dbcp.dbcp.cpdsadapter.DriverAdapterCPDS, org.apache.tomcat.dbcp.dbcp2.cpdsadapter.DriverAdapterCPDS, org.docx4j.org.apache.xalan.lib.sql.JNDIConnectionPool, org.apache.tomcat.dbcp.dbcp2.datasources.PerUserPoolDataSource, org.apache.tomcat.dbcp.dbcp2.datasources.SharedPoolDataSource, org.apache.tomcat.dbcp.dbcp.datasources.PerUserPoolDataSource, org.apache.tomcat.dbcp.dbcp.datasources.SharedPoolDataSource, com.newrelic.agent.deps.ch.qos.logback.core.db.JNDIConnectionSource, com.newrelic.agent.deps.ch.qos.logback.core.db.DriverManagerConnectionSource
in the classpath

Additional information

  • Bugzilla 1913871: jackson-databind: mishandles the interaction between serialization gadgets and typing, related to oadd.org.apache.commons.dbcp.cpdsadapter.DriverAdapterCPDS
  • CWE-502: Deserialization of Untrusted Data
  • FAQ: Frequently asked questions about CVE-2020-36179

Common Vulnerability Scoring System (CVSS) Score Details

Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

CVSS v3 Score Breakdown
Red HatNVD

CVSS v3 Base Score

8.1

8.1

Attack Vector

Network

Network

Attack Complexity

High

High

Privileges Required

None

None

User Interaction

None

None

Scope

Unchanged

Unchanged

Confidentiality Impact

High

High

Integrity Impact

High

High

Availability Impact

High

High

CVSS v3 Vector

Red Hat: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

NVD: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Red Hat CVSS v3 Score Explanation

There are sufficient factors beyond the attacker's control: 1. Accepts JSON content sent by untrusted client 2. Has the “gadget” class oadd.org.apache.commons.dbcp.cpdsadapter.DriverAdapterCPDS, org.apache.commons.dbcp2.cpdsadapter.DriverAdapterCPDS, org.apache.tomcat.dbcp.dbcp.cpdsadapter.DriverAdapterCPDS, org.apache.tomcat.dbcp.dbcp2.cpdsadapter.DriverAdapterCPDS, org.docx4j.org.apache.xalan.lib.sql.JNDIConnectionPool, org.apache.tomcat.dbcp.dbcp2.datasources.PerUserPoolDataSource, org.apache.tomcat.dbcp.dbcp2.datasources.SharedPoolDataSource, org.apache.tomcat.dbcp.dbcp.datasources.PerUserPoolDataSource, org.apache.tomcat.dbcp.dbcp.datasources.SharedPoolDataSource, com.newrelic.agent.deps.ch.qos.logback.core.db.JNDIConnectionSource, com.newrelic.agent.deps.ch.qos.logback.core.db.DriverManagerConnectionSource in the Java classpath: and specifically the class works with Jackson 3. Enable polymorphic type handling: objectMapper.enableDefaultTyping(); 4. Use version of Jackson that does not (yet) block “gadget” class br.com.anteros.dbcp.AnterosDBCPDataSource The vulnerability can be exploited only if all of these conditions are true. [1] This set of conditions, we feel reflects AC:H rather than AC:L. [1] https://medium.com/@cowtowncoder/on-jackson-cves-dont-panic-here-is-what-you-need-to-know-54cd0d6e8062

There are sufficient factors beyond the attacker's control:

  1. Accepts JSON content sent by untrusted client
  2. Has the “gadget” class oadd.org.apache.commons.dbcp.cpdsadapter.DriverAdapterCPDS, org.apache.commons.dbcp2.cpdsadapter.DriverAdapterCPDS, org.apache.tomcat.dbcp.dbcp.cpdsadapter.DriverAdapterCPDS, org.apache.tomcat.dbcp.dbcp2.cpdsadapter.DriverAdapterCPDS, org.docx4j.org.apache.xalan.lib.sql.JNDIConnectionPool, org.apache.tomcat.dbcp.dbcp2.datasources.PerUserPoolDataSource, org.apache.tomcat.dbcp.dbcp2.datasources.SharedPoolDataSource, org.apache.tomcat.dbcp.dbcp.datasources.PerUserPoolDataSource, org.apache.tomcat.dbcp.dbcp.datasources.SharedPoolDataSource, com.newrelic.agent.deps.ch.qos.logback.core.db.JNDIConnectionSource, com.newrelic.agent.deps.ch.qos.logback.core.db.DriverManagerConnectionSource in the Java classpath: and specifically the class works with Jackson
  3. Enable polymorphic type handling: objectMapper.enableDefaultTyping();
  4. Use version of Jackson that does not (yet) block “gadget” class br.com.anteros.dbcp.AnterosDBCPDataSource

The vulnerability can be exploited only if all of these conditions are true. [1] This set of conditions, we feel reflects AC:H rather than AC:L.

[1] https://medium.com/@cowtowncoder/on-jackson-cves-dont-panic-here-is-what-you-need-to-know-54cd0d6e8062

Understanding the Weakness (CWE)

CWE-502

Integrity

Technical Impact: Modify Application Data; Unexpected State

Attackers can modify unexpected objects or data that was assumed to be safe from modification. Deserialized data or code could be modified without using the provided accessor functions, or unexpected functions could be invoked.

Availability

Technical Impact: DoS: Resource Consumption (CPU)

If a function is making an assumption on when to terminate, based on a sentry in a string, it could easily never terminate.

Other

Technical Impact: Varies by Context

The consequences can vary widely, because it depends on which objects or methods are being deserialized, and how they are used. Making an assumption that the code in the deserialized object is valid is dangerous and can enable exploitation. One example is attackers using gadget chains to perform unauthorized actions, such as generating a shell.

Frequently Asked Questions

Why is Red Hat's CVSS v3 score or Impact different from other vendors?

My product is listed as "Under investigation" or "Affected", when will Red Hat release a fix for this vulnerability?

What can I do if my product is listed as "Will not fix"?

What can I do if my product is listed as "Fix deferred"?

What is a mitigation?

I have a Red Hat product but it is not in the above list, is it affected?

Why is my security scanner reporting my product as vulnerable to this vulnerability even though my product version is fixed or not affected?

My product is listed as "Out of Support Scope". What does this mean?

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