Unverified50% confidenceFactExact time
Semgrep 采用基于模式匹配的轻量级方法,开发者可以用类似代码的语法编写检测规则
1
Sources
50%
Confidence
Long-term
Relevance
8/22/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCode large language models are evaluated using executable benchmarks such as HumanEval and MBPP, meaning the generated code is directly executed and the output is checked for correctness.66% similarUnverified传统静态分析工具(SAST)如SonarQube、Semgrep通常采用规则匹配策略,每个代码库可能产生数百条告警65% similarUnverified针对AI生成代码的验证流程应包含静态分析关卡,使用Semgrep、SonarQube等SAST工具扫描代码模式级漏洞并在CI/CD流水线中配置为阻断性检查64% similarUnverifiedMatcher通过模式匹配来判断当前事件是否符合预设条件,匹配维度包括操作类型、文件路径或后缀名、命令内容等63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/786709API
curl https://kongchang.com/api/v1/knowledge/claims/786709MCP
get_claim(id=786709)