Skip to content
SPECIFICTION
Get listed

Black Duck Coverity vs gosec

Black Duck Coverity

blackduck.com

gosec

github.com

Side by side

FigureBlack Duck Coveritygosec
Price from—Free
Free plan—Yes
Free trial——
Open source—Yes
WebYes—
WindowsYes—
macOSYesYes
LinuxYesYes
API—Yes
Self-hostedYesYes
Plans published11
Spec score · Static Analysis Tools7.8 (#15)8.6 (#6)
Spec score · SAST Tools7.8 (#12)8.6 (#4)
Spec score · Static Application Security Testing Software7.8 (#14)8.6 (#4)
PurposeCoverity is an enterprise-grade static analysis solution that finds and fixes security vulnerabilities and code quality defects before software ships.gosec inspects Go source code for security problems by scanning its AST and SSA code representation.

Plans

Black Duck Coverity

  • Coverity Static AnalysisPriced on request

Black Duck Coverity pricing →

gosec

  • gosecFree

gosec pricing →

In their own words

Black Duck Coverity

Black Duck Coverity is a paid static analysis solution for finding security vulnerabilities and code quality defects in source code before software ships. It analyzes code without executing it, scanning across files and libraries in entire codebases. Black Duck lists support for 22 programming languages and more than 250 frameworks, along with standards including MISRA, AUTOSAR, ISO 26262, PCI DSS, CERT C/C++/Java, DISA STIG, OWASP Top 10, and CWE Top 25. Coverity is TÜV SÜD certified for IEC 61508-3 support-tool requirements and qualified for use up to ASIL D under ISO 26262 and Level A under DO-178C. The Code Sight IDE plug-in offers real-time results, issue summaries, and code fixes. IDE, SCM, and CI integrations can trigger scans on commits and pull requests; listed connections include GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, and others. Deployment can be fully air-gapped on premises, including Kubernetes clusters. Pricing is customized to team size and codebase and supplied by quote.

Visit blackduck.com

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.

Visit github.com