IhoneyBakFileScan Modify - 批量网站备份文件扫描器,增加文件规则,优化内存占用

Overview

ihoneyBakFileScan_Modify 批量网站备份文件泄露扫描工具

2022.2.8 添加、修改内容

增加备份文件fuzz规则

修改备份文件大小判断方式(pip3 install hurry-filesize)

修改备份文件是否存在的判断规则

修改为多线程扫描,内存占用更小

经测试 1h1g vps 500线程可以拉满

python3 ihoneyBakFileScan_Modify.py -t 500 -f url.txt

python3 requests pip3.5

1. 简介

1.1 网站备份文件泄露可能造成的危害:
1. 网站存在备份文件:网站存在备份文件,例如数据库备份文件、网站源码备份文件等,攻击者利用该信息可以更容易得到网站权限,导致网站被黑。
2. 敏感文件泄露是高危漏洞之一,敏感文件包括数据库配置信息,网站后台路径,物理路径泄露等,此漏洞可以帮助攻击者进一步攻击,敞开系统的大门。
3. 由于目标备份文件较大(xxx.G),可能存在更多敏感数据泄露
4. 该备份文件被下载后,可以被用来做代码审计,进而造成更大的危害
5. 该信息泄露会暴露服务器的敏感信息,使攻击者能够通过泄露的信息进行进一步入侵。
1.2 依赖环境
开发环境:
python3   python3.5.3
pip3.5    pip 10.0.1
requests  2.19.1
安装第三方依赖库:
pip3.5 install requests
pip3 install hurry-filesize
1.3 工具核心:
1. 常见后缀:
   * '.rar', '.zip', '.gz', '.sql.gz', '.tar.gz' ...
2. 文件头识别:
   * rar:526172211a0700cf9073
   * zip:504b0304140000000800
   * gz:1f8b080000000000000b,也包括'.sql.gz',取'1f8b0800' 作为keyword
   * tar.gz: 1f8b0800
   * sql:每种导出方式有不同的文件头
       * Adminer:  
       * mysqldump:     
       * phpMyAdmin:
       * navicat:   
3. 数据库备份导出方式识别:
   * 导出方式                      文件头字符:                    前10个16进制字符:
   * mysqldump:                   -- MySQL dump:               2d2d204d7953514c
   * phpMyAdmin:                  -- phpMyAdmin SQL Dump:      2d2d207068704d794164
   * navicat:                     /* Navicat :                 2f2a0a204e617669636174
   * Adminer:                     -- Adminer x.x.x MySQL dump: 2d2d2041646d696e6572  (5月9日新增xxx.sql)
   * Navicat MySQL Data Transfer: /* Navicat:                  2f2a0a4e617669636174
   * 一种未知导出方式:               -- -------:                  2d2d202d2d2d2d2d2d2d
4. 根据域名自动生成相关扫描字典:
    ➜  ihoneyBakFileScan python3.5 ihoneyBakFileScan.py -u https://www.ihoney.net.cn
    [ ] https://www.ihoney.net.cn/__zep__/js.zip
    [ ] https://www.ihoney.net.cn/faisunzip.zip
    [ ] https://www.ihoney.net.cn/www.ihoney.net.cn.rar
    [ ] https://www.ihoney.net.cn/wwwihoneynetcn.rar
    [ ] https://www.ihoney.net.cn/ihoneynetcn.rar
    [ ] https://www.ihoney.net.cn/ihoney.net.cn.rar
    [ ] https://www.ihoney.net.cn/www.rar
    [ ] https://www.ihoney.net.cn/ihoney.rar
    [*] https://www.ihoney.net.cn/www.ihoney.net.cn.zip  size:0M
    [ ] https://www.ihoney.net.cn/wwwihoneynetcn.zip
    [ ] https://www.ihoney.net.cn/ihoneynetcn.zip
    [ ] https://www.ihoney.net.cn/ihoney.net.cn.zip
    [ ] https://www.ihoney.net.cn/www.zip
    [ ] https://www.ihoney.net.cn/ihoney.zip
    [ ] https://www.ihoney.net.cn/www.ihoney.net.cn.gz
    [ ] https://www.ihoney.net.cn/wwwihoneynetcn.gz
    [ ] https://www.ihoney.net.cn/ihoneynetcn.gz
    [ ] https://www.ihoney.net.cn/ihoney.net.cn.gz
    [ ] https://www.ihoney.net.cn/www.gz
    [ ] https://www.ihoney.net.cn/ihoney.gz
    [ ] https://www.ihoney.net.cn/www.ihoney.net.cn.sql.gz
    [ ] https://www.ihoney.net.cn/wwwihoneynetcn.sql.gz
    [ ] https://www.ihoney.net.cn/ihoneynetcn.sql.gz
    [ ] https://www.ihoney.net.cn/ihoney.net.cn.sql.gz
    [ ] https://www.ihoney.net.cn/www.sql.gz
    [ ] https://www.ihoney.net.cn/ihoney.sql.gz
    [ ] https://www.ihoney.net.cn/www.ihoney.net.cn.tar.gz
    [ ] https://www.ihoney.net.cn/wwwihoneynetcn.tar.gz
    [ ] https://www.ihoney.net.cn/ihoneynetcn.tar.gz
    [ ] https://www.ihoney.net.cn/ihoney.net.cn.tar.gz
    [ ] https://www.ihoney.net.cn/www.tar.gz
    [ ] https://www.ihoney.net.cn/ihoney.tar.gz
    [ ] https://www.ihoney.net.cn/www.ihoney.net.cn.sql
    [ ] https://www.ihoney.net.cn/wwwihoneynetcn.sql
    [ ] https://www.ihoney.net.cn/ihoneynetcn.sql
    [ ] https://www.ihoney.net.cn/ihoney.net.cn.sql
    [ ] https://www.ihoney.net.cn/www.sql
    [ ] https://www.ihoney.net.cn/ihoney.sql
5. 自动记录扫描成功的备份地址到以时间命名的文件
    例如 20180616_16-28-14.txt:
    https://www.ihoney.net.cn/ihoney.tar.gz  size:0M
    https://www.ihoney.net.cn/www.ihoney.net.cn.zip  size:0M

2. 使用方式

参数:
    -h --help      查看工具使用帮助
    -f --url-file  批量时指定存放url的文件,每行url需要指定http://或者https://,否则默认使用http://
    -t --thread    指定线程数,建议100
    -u --url       单个url扫描时指定url
    -d --dict-file 自定义扫描字典
使用:
    批量url扫描    python3.5 ihoneyBakFileScan.py -t 100 -f url.txt
    单个url扫描    python3.5 ihoneyBakFileScan.py -u https://www.ihoneysec.top/
                  python3.5 ihoneyBakFileScan.py -u www.ihoney.net.cn
                  python3.5 ihoneyBakFileScan.py -u www.ihoney.net.cn -d dict.txt

3. ChangeLog:

[2018.04.20]  首发T00ls:支持rar,zip后缀备份文件头识别,根据域名自动生成相关扫描字典,自动记录扫描成功的备份地址到文件
[2018.04.26]
              在原本扫描成功的备份地址后增加了备份大小,以方便快速识别有效备份。
              增加了.sql文件识别,也是识别文件头的方式,文件头我目前检测到三种,分别是不同方式导出的:1.mysql,2.phpmyadmin,3.navicat。
[2018.05.19]  新增识别Adminer导出的两种格式:baidu.sql、baodu.sql.gz
[2018.05.31]  新增Navicat MySQL Data Transfer备份导出方式和另一种未知导出方式
[2018.06.16]  修复支持https站扫描,并从旧项目中抽出来独立作为一个项目
[2018.06.18]  从多线程加队列改为多进程加进程池,提升扫描速度

4. 联系

* 在使用工具的过程中遇到任何异常、问题,或者你有更好的建议都可以联系作者,一起将这款不出名的小工具完善下去。
* 联系方式: QQ 102505481
2018年06月18日22:51:11
Owner
VMsec
专注渗透测试。
VMsec
Unsupervised captioning - Code for Unsupervised Image Captioning

Unsupervised Image Captioning by Yang Feng, Lin Ma, Wei Liu, and Jiebo Luo Introduction Most image captioning models are trained using paired image-se

Yang Feng 207 Dec 24, 2022
Implementation supporting the ICCV 2017 paper "GANs for Biological Image Synthesis"

GANs for Biological Image Synthesis This codes implements the ICCV-2017 paper "GANs for Biological Image Synthesis". The paper and its supplementary m

Anton Osokin 95 Nov 25, 2022
[TPAMI 2021] iOD: Incremental Object Detection via Meta-Learning

Incremental Object Detection via Meta-Learning To appear in an upcoming issue of the IEEE Transactions on Pattern Analysis and Machine Intelligence (T

Joseph K J 66 Jan 04, 2023
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning

Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"

Mathieu Godbout 1 Nov 19, 2021
Simple object detection app with streamlit

object-detection-app Simple object detection app with streamlit. Upload an image and perform object detection. Adjust the confidence threshold to see

Robin Cole 68 Jan 02, 2023
Video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR.

Official Discussion Group (Telegram): https://t.me/video2x A Discord server is also available. Please note that most developers are only on Telegram.

K4YT3X 5.9k Dec 31, 2022
Demonstrates iterative FGSM on Apple's NeuralHash model.

apple-neuralhash-attack Demonstrates iterative FGSM on Apple's NeuralHash model. TL;DR: It is possible to apply noise to CSAM images and make them loo

Lim Swee Kiat 11 Jun 23, 2022
Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the Machine Learning 4 Health Workshop

Detection-aided liver lesion segmentation Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the

Image Processing Group - BarcelonaTECH - UPC 96 Oct 26, 2022
A fuzzing framework for SMT solvers

yinyang A fuzzing framework for SMT solvers. Given a set of seed SMT formulas, yinyang generates mutant formulas to stress-test SMT solvers. yinyang c

Project Yin-Yang for SMT Solver Testing 145 Jan 04, 2023
Episodic-memory - Ego4D Episodic Memory Benchmark

Ego4D Episodic Memory Benchmark EGO4D is the world's largest egocentric (first p

3 Feb 18, 2022
A library for optimization on Riemannian manifolds

TensorFlow RiemOpt A library for manifold-constrained optimization in TensorFlow. Installation To install the latest development version from GitHub:

Oleg Smirnov 83 Dec 27, 2022
Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax

Clockwork VAEs in JAX/Flax Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax, ported

Julius Kunze 26 Oct 05, 2022
Transformer Huffman coding - Complete Huffman coding through transformer

Transformer_Huffman_coding Complete Huffman coding through transformer 2022/2/19

3 May 19, 2022
Compute execution plan: A DAG representation of work that you want to get done. Individual nodes of the DAG could be simple python or shell tasks or complex deeply nested parallel branches or embedded DAGs themselves.

Hello from magnus Magnus provides four capabilities for data teams: Compute execution plan: A DAG representation of work that you want to get done. In

12 Feb 08, 2022
Code for "ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on", accepted at WACV 2021 Generation of Human Behavior Workshop.

ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on [ Paper ] [ Project Page ] This repository contains the code fo

Andrew Jong 97 Dec 13, 2022
Rasterize with the least efforts for researchers.

utils3d Rasterize and do image-based 3D transforms with the least efforts for researchers. Based on numpy and OpenGL. It could be helpful when you wan

Ruicheng Wang 8 Dec 15, 2022
CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks

CompilerGym is a library of easy to use and performant reinforcement learning environments for compiler tasks

Facebook Research 721 Jan 03, 2023
PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning"

PyTorch Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".

Berivan Isik 8 Dec 08, 2022
[ICCV2021] Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving

Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving

Xuanchi Ren 44 Dec 03, 2022
Data visualization app for H&M competition in kaggle

handm_data_visualize_app Data visualization app by streamlit for H&M competition in kaggle. competition page: https://www.kaggle.com/competitions/h-an

Kyohei Uto 12 Apr 30, 2022