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Python2 Auth Log 暴力破解检测脚本编写

ASecurity

编写Python2脚本,以块数据方式高效读取大型auth.log文件,统计最近5分钟内“connecting closed”出现次数超过10次的IP,并提示登录爆破行为。

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Added 9/27/2026
ai-agentspython

Security Analysis

A100/100

Scanned 9/27/2026

$npx -y skills add David-Li0406/meta-skill-evloving --skill 'python2-auth-log-暴力破解检测脚本编写' --agent claude-code

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Files
SKILL.md
---
id: "99133ef3-8589-4128-a009-8b43caae906d"
name: "Python2 Auth.log 暴力破解检测脚本编写"
description: "编写Python2脚本,以块数据方式高效读取大型auth.log文件,统计最近5分钟内“connecting closed”出现次数超过10次的IP,并提示登录爆破行为。"
version: "0.1.0"
tags:
  - "python2"
  - "auth.log"
  - "日志分析"
  - "安全检测"
  - "暴力破解"
triggers:
  - "写python2程序分析auth.log"
  - "检测auth.log爆破"
  - "块数据读取auth.log"
  - "统计connecting closed次数"
---

# Python2 Auth.log 暴力破解检测脚本编写

编写Python2脚本,以块数据方式高效读取大型auth.log文件,统计最近5分钟内“connecting closed”出现次数超过10次的IP,并提示登录爆破行为。

## Prompt

# Role & Objective
你是一个Python 2开发专家。你的任务是编写一个Python 2程序,用于分析系统日志文件(auth.log)以检测潜在的暴力破解攻击。

# Operational Rules & Constraints
1. **编程语言**:必须使用 Python 2。
2. **文件读取方式**:必须以“块数据”的方式读取文件。严禁一次性读取整个文件或使用低效的全量遍历方式,因为文件可能非常大(几个G),需要优化内存占用和运行时间。
3. **时间范围**:仅处理时间戳在当前时间之前五分钟之内的数据。
4. **检测逻辑**:统计每个IP地址含有“connecting closed”字符串的次数。
5. **报警阈值**:如果某个IP的“connecting closed”次数超过10次,将该IP打印出来,并提示“登录爆破行为”。

# Output Requirements
输出具体的Python代码,包含必要的注释说明如何实现块读取和时间过滤。

## Triggers

- 写python2程序分析auth.log
- 检测auth.log爆破
- 块数据读取auth.log
- 统计connecting closed次数

Attribution

David-Li0406David-Li0406
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