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SPECIFICTION
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CodeSonar vs gosec

CodeSonar

adacore.com

gosec

github.com

Side by side

FigureCodeSonargosec
Price from—Free
Free plan—Yes
Free trialYes—
Open source—Yes
WebYes—
WindowsYes—
macOS—Yes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published11
Spec score · Static Application Security Testing Sast8.1 (#5)8.6 (#3)
Spec score · Static Application Security Testing Software8.1 (#7)8.6 (#4)
Spec score · SAST Tools8.1 (#8)8.6 (#4)
PurposeCodeSonar is a static application security testing solution that finds security and quality defects in code.gosec inspects Go source code for security problems by scanning its AST and SSA code representation.

Plans

CodeSonar

  • CodeSonarPriced on request

CodeSonar pricing →

gosec

  • gosecFree

gosec pricing →

In their own words

CodeSonar

CodeSonar is AdaCore’s static application security testing solution for finding security and quality defects in source code and compiled binaries. It supports C/C++, Java, C#, Kotlin, Python, Go, Rust, JavaScript and TypeScript. Abstract interpretation and symbolic execution examine feasible execution paths across procedures and modules. Binary analysis covers mixed-language environments and cases where source is unavailable. Security coverage includes OWASP Top 10, SANS/CWE 25, SEI CERT C/C++ and DISA STIG; coding standards include MISRA-C, MISRA-C++, AUTOSAR C++, JSF++ and CERT. Integrations include Visual Studio, GitLab, Jira, Jenkins and VS Code, alongside project-management, CI/CD and IDE workflows. Pull-request scans, custom security rules and report exports to PDF, HTML or XML are supported. AdaCore offers on-premises, air-gapped and private-cloud deployment. The tool runs on supported 64-bit Windows and Linux distributions with glibc 2.39 or higher. Pricing is on request, with a trial available.

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gosec

gosec is a free Go source-code security checker that analyzes abstract syntax trees and static single assignment representations. It applies pattern rules, SSA analyzers, and taint analysis to detect issues including injection, path traversal, SSRF, unsafe deserialization, cryptography and TLS problems, blocklisted imports, and Go-specific risks. Findings map to Common Weakness Enumeration entries. Users can select or exclude rules, define path-based exclusions, and change settings such as audit mode. Reports are available as text, JSON, YAML, CSV, JUnit XML, HTML, SonarQube, golint, and SARIF. The project documents GitHub Actions and SARIF uploads to GitHub code scanning; its goanalysis package supports tools such as Bazel nogo. Local installation requires Go 1.25 or newer, with dependencies loaded through Go modules. An optional AI feature suggests fixes through Atlas Cloud, Gemini, Claude, OpenAI, or custom OpenAI-compatible APIs. Automated detection can produce false positives, which annotations can suppress. It is licensed under Apache License 2.0.

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