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
Berne Campbell enhanced the semgrep/semgrep-rules repository by expanding rule metadata to include Kubernetes and LLM Top 10 references, broadening detection of security misconfigurations beyond the OWASP Top 10. Using Scala and YAML, Berne implemented validation logic to recognize new category prefixes, supporting more comprehensive and maintainable rule governance. To improve signal quality, Berne refined the tainted-sql-string rule with regular expressions that exclude exception handling, reducing false positives and increasing precision for legitimate code paths. This work deepened the static analysis capabilities of semgrep-rules, resulting in more actionable security alerts and improved remediation guidance for rule authors and users.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
32
Activity Months1
Your Network
30 people
Work 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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