differential-review

Security-focused code review on a pull request analyzes changesets to detect vulnerabilities, calculates blast radius, and checks test coverage. It identifies security regressions introduced by code changes and generates detailed markdown reports with attack scenarios and recommendations.

Differential analysis in code auditing reviews changesets like commits and pull requests to identify newly introduced vulnerabilities. It adapts analysis depth to codebase size, prioritizes high-risk changes, and ensures existing security measures are maintained during regression testing.

To detect security regressions before merging, analyze the changeset for vulnerabilities and calculate the potential blast radius. This risk-based review adapts its depth to the codebase size and flags critical authentication logic bypasses or new weaknesses.

Yes, vulnerability detection for commits can be automated in a large codebase. The analysis adapts its depth based on codebase size and risk level, prioritizing high-risk changes to efficiently identify security bypasses and generate comprehensive markdown reports.

Differential code review works with test coverage checks by analyzing code changes for vulnerabilities while simultaneously calculating the blast radius and assessing existing test coverage. This ensures new code does not introduce untested security regressions.

The best way to generate markdown reports for vulnerabilities is performing an automated differential review on the changeset. This produces detailed markdown reports containing security findings, attack scenarios, and actionable recommendations based on risk prioritization.