semgrep/semgrep-rules
Nov 2024 – Nov 2024
1 Month active
Languages Used
ScalaYAMLyaml
Technical Skills
Rule DevelopmentSecurity AuditingStatic Analysisregular expressionsrule definitionsecurity scanning
berney
PROFILE
Berney
Worked on the semgrep/semgrep-rules repository to expand rule coverage and improve detection accuracy for security misconfigurations. Developed new rule metadata to include Kubernetes and LLM Top 10 references, extending beyond the traditional OWASP Top 10 and enabling broader risk identification. Enhanced validation logic to recognize new category prefixes, supporting maintainable rule governance. Addressed false positives in the tainted-sql-string rule by introducing an exclusion for exception handling, ensuring legitimate code paths are not incorrectly flagged. Utilized Scala and YAML for rule definition and static analysis, applying skills in security auditing, regular expressions, and security scanning to deliver actionable, precise alerts.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
32
Activity Months1
Your Network
39 peopleWork History
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024: Focused on expanding rule coverage and improving signal quality in semgrep-rules. Delivered extended metadata coverage for Kubernetes and LLM Top 10 references and implemented an exclusion to reduce false positives in the tainted-sql-string rule. The changes broaden detection of security misconfigurations beyond OWASP Top 10, while preserving accuracy. Result: more actionable alerts, better remediation guidance, and maintainable rule governance.
2 Commits • 1 Features
Nov 1, 2024November 2024: Focused on expanding rule coverage and improving signal quality in semgrep-rules. Delivered extended metadata coverage for Kubernetes and LLM Top 10 references and implemented an exclusion to reduce false positives in the tainted-sql-string rule. The changes broaden detection of security misconfigurations beyond OWASP Top 10, while preserving accuracy. Result: more actionable alerts, better remediation guidance, and maintainable rule governance.
November 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
ScalaYAMLyaml
Technical Skills
Rule DevelopmentSecurity AuditingStatic Analysisregular expressionsrule definitionsecurity scanning
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