CodeQL contributes data-flow queries to code review. Make source and build coverage explicit; layers outside the analysis must not be assumed safe.
Evaluation approach
A supported language needs the correct build and database-generation process. Queries can trace relationships between input sources and sensitive operations. Check current language and licensing documentation.
Application example
Trace untrusted input reaching sensitive file or network operations, then review each path with a developer.
Limits and considerations
Incomplete builds can exclude important code. Framework behavior absent from a query's model can leave blind spots.
From a query to a data-flow explanation
Examine the relationship between input sources, transformations and sensitive operations. Confirm that the database represents the intended source and build scope; incomplete compilation may exclude the code under investigation.
Test custom queries against both valid and unsafe flows. Interpret results in application context rather than treating a query match as proof of exploitability. Track the scanned version and the evidence used to close a fix.
Checks and decisions
- Verify build coverage
- Version query packs
- Explain findings through code paths
Consider CodeQL for detailed source analysis and run runtime-integrity tests separately.
Sources
The primary references above provide the technical basis. Example workflows and evaluation suggestions are this publication’s explanations, not independent test results for a particular product.