Improper Output Neutralization for Logs
The product does not neutralize or incorrectly neutralizes output that is written to logs.
Description
This can allow an attacker to forge log entries or inject malicious content into logs.
Log forging vulnerabilities occur when:
Data enters an application from an untrusted source.
The data is written to an application or system log file.
Background
Applications typically use log files to store a history of events or transactions for later review, statistics gathering, or debugging. Depending on the nature of the application, the task of reviewing log files may be performed manually on an as-needed basis or automated with a tool that automatically culls logs for important events or trending information.
Demonstrations
The following examples help to illustrate the nature of this weakness and describe methods or techniques which can be used to mitigate the risk.
Note that the examples here are by no means exhaustive and any given weakness may have many subtle varieties, each of which may require different detection methods or runtime controls.
Example One
The following web application code attempts to read an integer value from a request object. If the parseInt call fails, then the input is logged with an error message indicating what happened.
If a user submits the string "twenty-one" for val, the following entry is logged:
INFO: Failed to parse val=twenty-one
However, if an attacker submits the string "twenty-one%0a%0aINFO:+User+logged+out%3dbadguy", the following entry is logged:
INFO: Failed to parse val=twenty-one
INFO: User logged out=badguy
Clearly, attackers can use this same mechanism to insert arbitrary log entries.
See Also
Weaknesses in this category are related to improper neutralization.
Weaknesses in this category are related to the A09 category "Security Logging and Monitoring Failures" in the OWASP Top Ten 2021.
Weaknesses in this category are related to audit-based components of a software system. Frequently these deal with logging user activities in order to identify undesir...
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