Code Scanning Tool

Analyzes code repositories to detect vulnerabilities, secrets, and quality issues, helping developers and teams improve security during development.

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About This Tool

The tool performs static analysis of codebases to identify security flaws, secrets, and quality issues across languages. It uses a curated rule catalog and language parsers to normalize findings.
Conceptually, it ingests repository data, tokenized code, and configuration to run analyzers, then aggregates results into an issue ledger with severity, location, and remediation guidance. It supports incremental scans and SARIF exports.
Beneficiaries include developers seeking rapid feedback, security teams performing audits, and DevOps workflows aiming to shift left. Unique value lies in broad language coverage, customizable policy, and CI-friendly reporting. Core features include multi-language support, secrets detection, vulnerability checks, license/compliance validation, delta scanning, and export formats. Typical use cases include pre-merge checks, release readiness, and security audits.

How to Use

  1. Provide inputs: repository URL or local path, target languages, and optional rule set.
  2. Configure scan mode and depth, choose incremental or full scan.
  3. Run scanning to generate findings.
  4. Review issues with location, severity, and remediation guidance.
  5. Export report in JSON, SARIF, or CSV; integrate with CI if desired.
  6. Iterate by updating rules or suppressing false positives and re-scan.
How to use code scanning tool

Frequently Asked Questions

Find Quick Answers

What does code scanning tool detect?
It detects security vulnerabilities, secrets exposure, and code quality issues using language parsers and a configurable rule catalog. Findings include location, severity, and remediation guidance to speed remediation.
Can it integrate with CI/CD?
Yes. It supports integration hooks for popular CI systems, allowing automated scans on each push or pull request and reporting results back to the pipeline as actionable checks.
Which languages are supported?
Supports major languages (e.g., Python, Java, JavaScript, Go, C, C++, C#) with language-specific parsers and extensible rule sets to cover common security and quality rules.
What report formats are available?
Reports can be exported in JSON, SARIF, or CSV to fit into existing tooling, dashboards, or archival workflows for audits and compliance.

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