CWE-489 Detail

CWE-489

Active Debug Code
Draft
2006-07-19
00h00 +00:00
2023-06-29
00h00 +00:00
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Name: Active Debug Code

The product is deployed to unauthorized actors with debugging code still enabled or active, which can create unintended entry points or expose sensitive information.

CWE Description

A common development practice is to add "back door" code specifically designed for debugging or testing purposes that is not intended to be shipped or deployed with the product. These back door entry points create security risks because they are not considered during design or testing and fall outside of the expected operating conditions of the product.

General Informations

Modes Of Introduction

Implementation : In web-based applications, debug code is used to test and modify web application properties, configuration information, and functions. If a debug application is left on a production server, this oversight during the "software process" allows attackers access to debug functionality.
Build and Compilation
Operation

Applicable Platforms

Language

Class: Not Language-Specific (Undetermined)

Technologies

Class: Not Technology-Specific (Undetermined)
Class: ICS/OT (Undetermined)

Common Consequences

Scope Impact Likelihood
Confidentiality
Integrity
Availability
Access Control
Other		Bypass Protection Mechanism, Read Application Data, Gain Privileges or Assume Identity, Varies by Context

Note: The severity of the exposed debug application will depend on the particular instance. At the least, it will give an attacker sensitive information about the settings and mechanics of web applications on the server. At worst, as is often the case, the debug application will allow an attacker complete control over the web application and server, as well as confidential information that either of these access.

Potential Mitigations

Phases : Build and Compilation // Distribution
Remove debug code before deploying the application.

Detection Methods

Automated Static Analysis

Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)
Effectiveness : High

Vulnerability Mapping Notes

Justification : This CWE entry is at the Base level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities.
Comment : Carefully read both the name and description to ensure that this mapping is an appropriate fit. Do not try to 'force' a mapping to a lower-level Base/Variant simply to comply with this preferred level of abstraction.

Related Attack Patterns

CAPEC-ID Attack Pattern Name
CAPEC-121 Exploit Non-Production Interfaces

An adversary exploits a sample, demonstration, test, or debug interface that is unintentionally enabled on a production system, with the goal of gleaning information or leveraging functionality that would otherwise be unavailable.
CAPEC-661 Root/Jailbreak Detection Evasion via Debugging
An adversary inserts a debugger into the program entry point of a mobile application to modify the application binary, with the goal of evading Root/Jailbreak detection. Mobile device users often Root/Jailbreak their devices in order to gain administrative control over the mobile operating system and/or to install third-party mobile applications that are not provided by authorized application stores (e.g. Google Play Store and Apple App Store). Rooting/Jailbreaking a mobile device also provides users with access to system debuggers and disassemblers, which can be leveraged to exploit applications by dumping the application's memory at runtime in order to remove or bypass signature verification methods. This further allows the adversary to evade Root/Jailbreak detection mechanisms, which can result in execution of administrative commands, obtaining confidential data, impersonating legitimate users of the application, and more.

NotesNotes

In J2EE a main method may be a good indicator that debug code has been left in the application, although there may not be any direct security impact.

References

REF-6

Seven Pernicious Kingdoms: A Taxonomy of Software Security Errors
Katrina Tsipenyuk, Brian Chess, Gary McGraw.
https://samate.nist.gov/SSATTM_Content/papers/Seven%20Pernicious%20Kingdoms%20-%20Taxonomy%20of%20Sw%20Security%20Errors%20-%20Tsipenyuk%20-%20Chess%20-%20McGraw.pdf

Submission

Name Organization Date Date release Version
7 Pernicious Kingdoms 2006-07-19 +00:00 2006-07-19 +00:00 Draft 3

Modifications

Name Organization Date Comment
Eric Dalci Cigital 2008-07-01 +00:00 updated Potential_Mitigations, Time_of_Introduction
KDM Analytics 2008-08-01 +00:00 added/updated white box definitions
CWE Content Team MITRE 2008-09-08 +00:00 updated Common_Consequences, Relationships, Other_Notes, Taxonomy_Mappings
CWE Content Team MITRE 2009-07-27 +00:00 updated Demonstrative_Examples
CWE Content Team MITRE 2009-10-29 +00:00 updated Common_Consequences
CWE Content Team MITRE 2011-06-01 +00:00 updated Common_Consequences
CWE Content Team MITRE 2011-06-27 +00:00 updated Common_Consequences
CWE Content Team MITRE 2012-05-11 +00:00 updated Relationships
CWE Content Team MITRE 2012-10-30 +00:00 updated Potential_Mitigations
CWE Content Team MITRE 2014-06-23 +00:00 updated Description, Modes_of_Introduction, Other_Notes, Time_of_Introduction
CWE Content Team MITRE 2014-07-30 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2017-11-08 +00:00 updated Applicable_Platforms, Relationships, White_Box_Definitions
CWE Content Team MITRE 2019-01-03 +00:00 updated Weakness_Ordinalities
CWE Content Team MITRE 2019-06-20 +00:00 updated Related_Attack_Patterns
CWE Content Team MITRE 2020-02-24 +00:00 updated Description, Name, References, Relationships
CWE Content Team MITRE 2021-03-15 +00:00 updated Related_Attack_Patterns
CWE Content Team MITRE 2021-07-20 +00:00 updated Alternate_Terms
CWE Content Team MITRE 2023-01-31 +00:00 updated Applicable_Platforms, Description, Relationships
CWE Content Team MITRE 2023-04-27 +00:00 updated Detection_Factors, Relationships
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
The information presented on CVE Find originates from several carefully selected reference sources. CVE data is provided by MITRE Corporation and the National Vulnerability Database (NVD). The Known Exploited Vulnerabilities (KEV) catalog is sourced from the Cybersecurity and Infrastructure Security Agency (CISA), while EPSS scores come from FIRST.org. Additionally, data regarding software weaknesses (CWE) and common attack patterns (CAPEC) is maintained by MITRE Corporation, and information on hardware and software configurations (CPE) is provided by the NVD.