BBScan py3 - BBScan py3 With Python

Overview

BBScan_py3

This repository is forked from lijiejie/BBScan 1.5. I migrated the former python code to python3. The following description is the origin author's readme.

BBScan 是一个高并发漏洞扫描工具,可用于

  • 高危漏洞爆发后,编写简单插件或规则,进行全网扫描
  • 作为巡检组件,集成到已有漏洞扫描系统中

BBScan能够在1分钟内

  • 对超过2万个IP地址进行指定端口发现,同时,进行漏洞验证。例如,Samba MS17010漏洞
  • 对超过1000个网站进行HTTP服务发现(80/443),同时,请求某个指定URL,完成漏洞检测

BBScan is a super fast vulnerability scanner.

  • A class B network (65534 hosts) could be scanned within 4 minutes (ex. Detect Samba MS17010)
  • Up to find more than 1000 target's web services and meanwhile, detect the vulnerability associated with a specified URL within one minute

Install

pip3 install -r requirements.txt

开始使用

  • 使用1个或多个插件,扫描某个B段
python BBScan.py --scripts-only --script redis_unauthorized_access --host www.site.com --network 16

上述命令将使用 redis_unauthorized_access 插件,扫描 www.site.com/16,扫描过程将持续 2~4 分钟。

  • 使用1个或多个规则,扫描文件中的所有目标
python BBScan.py --no-scripts --rule git_and_svn --no-check404 --no-crawl -f iqiyi.txt

使用 git_and_svn 文件中的规则,扫描 iqiyi.txt 文件中的所有目标,每一行一个目标

--no-check404 指定不检查404状态码

--no-crawl 指定不抓取子目录

通过指定上述两个参数,可显著减少HTTP请求的数量。

参数说明

如何设定扫描目标

  --host [HOST [HOST ...]]
                        该参数可指定1个或多个域名/IP
  -f TargetFile         从文件中导入所有目标,目标以换行符分隔
  -d TargetDirectory    从文件夹导入所有.txt文件,文件中是换行符分隔的目标
  --network MASK        设置一个子网掩码(8 ~ 31),配合上面3个参数中任意一个。将扫描
  						Target/MASK 网络下面的所有IP

HTTP扫描

  --rule [RuleFileName [RuleFileName ...]]
                        扫描指定的1个或多个规则
  -n, --no-crawl        禁用页面抓取,不处理页面中的其他链接
  -nn, --no-check404    禁用404状态码检查
  --full                处理所有子目录。 /x/y/z/这样的链接,/x/ /x/y/也将被扫描

插件扫描

  --scripts-only        只启用插件扫描,禁用HTTP规则扫描
  --script [ScriptName [ScriptName ...]]
                        扫描指定1个或多个插件
  --no-scripts          禁用插件扫描

并发

  -p PROCESS            扫描进程数,默认30。建议设置 10 ~ 50之间
  -t THREADS            单个目标的扫描线程数, 默认3。建议设置 3 ~ 10之间

其他参数

  --timeout TIMEOUT     单个目标最大扫描时间(单位:分钟),默认10分钟
  -md                   输出markdown格式报告
  --save-ports PortsDataFile
                        将端口开放信息保存到文件 PortsDataFile,可以导入再次使用
  --debug               打印调试信息
  -nnn, --no-browser    不使用默认浏览器打开扫描报告
  -v                    show program's version number and exit

使用技巧

  • 如何把BBScan当做一个快速的端口扫描工具使用?

找到scripts/tools/port_scan.py,填入需要扫描的端口号列表。把文件移动到scripts下。执行

python BBScan.py --scripts-only --script port_scan --host www.baidu.com --network 16 --save-ports ports_80.txt

--save-ports 是一个非常有用的参数,可以将每次任务执行过程发现的端口,保存到文件中

  • 如何观察执行过程

请设置 --debug 参数,观察是否按照预期,执行插件,发起HTTP请求

  • 如何编写插件

请参考scripts文件夹下的插件内容。self参数是一个Scanner对象,可使用Scanner对象的任意方法、属性。

self.host self.port 是目标主机和端口

self.ports_open 是开放的端口列表,是所有插件共享的。 一般不在插件执行过程中再单独扫描端口

self.conn_pool 是HTTP连接池

self.http_request 可发起HTTP GET请求

self.index_headers self.index_status self.index_html_doc 是请求首页后返回的,一旦扫描器发现有插件依赖,会预先请求首页,保存下来,被所有插件公用

Owner
baiyunfei
我是一个执着的人,坚持做着自己热爱的事情!
baiyunfei
A pytorch implementation of Reading Wikipedia to Answer Open-Domain Questions.

DrQA A pytorch implementation of the ACL 2017 paper Reading Wikipedia to Answer Open-Domain Questions (DrQA). Reading comprehension is a task to produ

Runqi Yang 394 Nov 08, 2022
Implementation of Shape and Electrostatic similarity metric in deepFMPO.

DeepFMPO v3D Code accompanying the paper "On the value of using 3D-shape and electrostatic similarities in deep generative methods". The paper can be

34 Nov 28, 2022
J.A.R.V.I.S is an AI virtual assistant made in python.

J.A.R.V.I.S is an AI virtual assistant made in python. Running JARVIS Without Python To run JARVIS without python: 1. Head over to our installation pa

somePythonProgrammer 16 Dec 29, 2022
Python 3 module to print out long strings of text with intervals of time inbetween

Python-Fastprint Python 3 module to print out long strings of text with intervals of time inbetween Install: pip install fastprint Sync Usage: from fa

Kainoa Kanter 2 Jun 27, 2022
ReferFormer - Official Implementation of ReferFormer

The official implementation of the paper: Language as Queries for Referring Vide

Jonas Wu 232 Dec 29, 2022
A simple baseline for 3d human pose estimation in PyTorch.

3d_pose_baseline_pytorch A PyTorch implementation of a simple baseline for 3d human pose estimation. You can check the original Tensorflow implementat

weigq 312 Jan 06, 2023
The official implementation of CVPR 2021 Paper: Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation.

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation This repository is the official implementation of CVPR 2021 paper:

9 Nov 14, 2022
🐤 Nix-TTS: An Incredibly Lightweight End-to-End Text-to-Speech Model via Non End-to-End Distillation

🐤 Nix-TTS An Incredibly Lightweight End-to-End Text-to-Speech Model via Non End-to-End Distillation Rendi Chevi, Radityo Eko Prasojo, Alham Fikri Aji

Rendi Chevi 156 Jan 09, 2023
Demonstrates how to divide a DL model into multiple IR model files (division) and introduce a simplest way to implement a custom layer works with OpenVINO IR models.

Demonstration of OpenVINO techniques - Model-division and a simplest-way to support custom layers Description: Model Optimizer in Intel(r) OpenVINO(tm

Yasunori Shimura 12 Nov 09, 2022
abess: Fast Best-Subset Selection in Python and R

abess: Fast Best-Subset Selection in Python and R Overview abess (Adaptive BEst Subset Selection) library aims to solve general best subset selection,

297 Dec 21, 2022
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

TorchSeg This project aims at providing a fast, modular reference implementation for semantic segmentation models using PyTorch. Highlights Modular De

ycszen 1.4k Jan 02, 2023
Pytorch implementation of "Geometrically Adaptive Dictionary Attack on Face Recognition" (WACV 2022)

Geometrically Adaptive Dictionary Attack on Face Recognition This is the Pytorch code of our paper "Geometrically Adaptive Dictionary Attack on Face R

6 Nov 21, 2022
Gif-caption - A straightforward GIF Captioner written in Python

Broksy's GIF Captioner Have you ever wanted to easily caption a GIF without havi

3 Apr 09, 2022
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

SGCN ⠀ A PyTorch implementation of Signed Graph Convolutional Network (ICDM 2018). Abstract Due to the fact much of today's data can be represented as

Benedek Rozemberczki 251 Nov 30, 2022
Transformer in Vision

Transformer-in-Vision Recent Transformer-based CV and related works. Welcome to comment/contribute! Keep updated. Resource SCENIC: A JAX Library for C

Yong-Lu Li 1.1k Dec 30, 2022
This repo is customed for VisDrone.

Object Detection for VisDrone(无人机航拍图像目标检测) My environment 1、Windows10 (Linux available) 2、tensorflow = 1.12.0 3、python3.6 (anaconda) 4、cv2 5、ensemble

53 Jul 17, 2022
Implementation of Google Brain's WaveGrad high-fidelity vocoder

WaveGrad Implementation (PyTorch) of Google Brain's high-fidelity WaveGrad vocoder (paper). First implementation on GitHub with high-quality generatio

Ivan Vovk 363 Dec 27, 2022
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place

Mikaela Uy 294 Dec 12, 2022
Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

Soomvaar 📌 Introduction Soomvaar is the collection of various codes implement in machine learning and machine learning algorithms with python on coll

Felix-Ayush 42 Dec 30, 2022
This repository contains codes of ICCV2021 paper: SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation

SO-Pose This repository contains codes of ICCV2021 paper: SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation This paper is basically an

shangbuhuan 52 Nov 25, 2022