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Add performance audit document for ModSecurity v3

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难度
4/5
预计耗时
3-5 天
新手友好度
35/100
Issue 类型
文档
描述清晰度
基本清楚
活跃度
停滞
技术栈
cpp

调研方向

首先审查拟议的范围和相关 PR,然后检查 issue 中提到的 libmodsecurity v3 执行路径,包括 RulesSet::evaluate 和 RuleWithOperator::evaluate。添加 doc/performance_audit_modsecurity_2026-04-03.md,其中记录关于热点、资源使用、并发、日志记录和优化优先级的技术依据充分的发现;当审计内容简洁、有依据且与项目一致时,即视为完成。

由索引模型根据 Issue 内容生成。

描述

3.x

Motivation

Provide a concise but technically grounded performance audit of libmodsecurity v3 to document execution hotspots, quantify resource usage, and identify optimization opportunities for real-world CRS-style deployments.

This audit was created with assistance from AI tools:

  • ChatGPT for structuring, summarization, and explanation
  • Codex for code-path reasoning and performance-oriented analysis

Description

This issue proposes adding a new documentation file:

doc/performance_audit_modsecurity_2026-04-03.md and further documentation file

The document provides a deep technical performance evaluation of libmodsecurity v3, including:

Key findings
  • Primary cost driver: rule execution fanout scaling roughly with R × V × T × O
  • Dominant bottleneck: regex (@rx) evaluation, especially under transformation-heavy pipelines
  • Systemic risk: tail-latency degradation under high concurrency due to combined CPU + I/O pressure
  • High-impact optimization: regex call reduction (15–35% CPU improvement, 10–25% latency reduction)
Technical coverage
  • Request lifecycle and execution model
  • Rule evaluation hot paths (RulesSet::evaluate, RuleWithOperator::evaluate)
  • Parsing overhead (URL-encoded, JSON, XML, multipart)
  • Regex behavior, backtracking risks, and JIT considerations
  • Memory model (80 KB – 1.5 MB typical, up to 8 MB for multipart peaks)
  • Audit logging and I/O impact (0.5 KB – 100+ KB per request depending on mode)
  • Concurrency scaling behavior and saturation points (typically 16–64 workers)
Performance characteristics
  • CPU dominated by regex + transformations (up to 70%)
  • Memory shows burst-sensitive scaling under large payloads
  • I/O becomes critical under full audit logging
Optimization priorities
  • Regex prefiltering and scope reduction (P0)
  • Async/selective audit logging (P0)
  • Transformation pipeline reduction (P1)
  • Multipart streaming improvements (P1)
Overall assessment
  • Performance score: ~5.3 / 10 (security-effective but resource-intensive without tuning)

Reference

Related PR:
https://github.com/Easton97-Jens/ModSecurity/pull/41

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环境准备

我们还没有检查这个项目的环境配置文件。先看它的 README,通用步骤见我们的新手贡献指南。

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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