CWE-778
Description
When a security-critical event occurs, the product either does not record the event or omits important details about the event when logging it.
When security-critical events are not logged properly, such as a failed login attempt, this can make malicious behavior more difficult to detect and may hinder forensic analysis after an attack succeeds. As organizations adopt cloud storage resources, these technologies often require configuration changes to enable detailed logging information, since detailed logging can incur additional costs. This could lead to telemetry gaps in critical audit logs. For example, in Azure, the default value for logging is disabled.
Consequences
If security critical information is not recorded, there will be no trail for forensic analysis and discovering the cause of problems or the source of attacks may become more difficult or impossible.
Mitigations
Use a centralized logging mechanism that supports multiple levels of detail.
Ensure that all security-related successes and failures can be logged. When storing data in the cloud (e.g., AWS S3 buckets, Azure blobs, Google Cloud Storage, etc.), use the provider's controls to enable and capture detailed logging information.
Be sure to set the level of logging appropriately in a production environment. Sufficient data should be logged to enable system administrators to detect attacks, diagnose errors, and recover from attacks. At the same time, logging too much data (CWE-779) can cause the same problems, including unexpected costs when using a cloud environment.
To enable storage logging using Azure's Portal, navigate to the name of the Storage Account, locate Monitoring (CLASSIC) section, and select Diagnostic settings (classic). For each of the various properties (blob, file, table, queue), ensure the status is properly set for the desired logging data. If using PowerShell, the Set-AzStorageServiceLoggingProperty command could be called using appropriate -ServiceType, -LoggingOperations, and -RetentionDays arguments.
Detection
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.)