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
This project aims to segment 4 common retinal lesions from Fundus Images.

This project aims to segment 4 common retinal lesions from Fundus Images.

Husam Nujaim 1 Oct 10, 2021
Level Based Customer Segmentation

level_based_customer_segmentation Level Based Customer Segmentation Persona Veri Seti kullanılarak müşteri segmentasyonu yapılmıştır. KOLONLAR : PRICE

Buse Yıldırım 6 Dec 21, 2021
Code and description for my BSc Project, September 2021

BSc-Project Disclaimer: This repo consists of only the additional python scripts necessary to run the agent. To run the project on your own personal d

Matin Tavakoli 20 Jul 19, 2022
PyTorch implementation of our method for adversarial attacks and defenses in hyperspectral image classification.

Self-Attention Context Network for Hyperspectral Image Classification PyTorch implementation of our method for adversarial attacks and defenses in hyp

22 Dec 02, 2022
September-Assistant - Open-source Windows Voice Assistant

September - Windows Assistant September is an open-source Windows personal assis

The Nithin Balaji 9 Nov 22, 2022
Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)

Pixel Transposed Convolutional Networks Created by Hongyang Gao, Hao Yuan, Zhengyang Wang and Shuiwang Ji at Texas A&M University. Introduction Pixel

Hongyang Gao 95 Jul 24, 2022
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control

yobi byte 29 Oct 09, 2022
An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners

An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners This is a coarse version for MAE, only make the pretrain model, the fine

FlyEgle 214 Dec 29, 2022
Official TensorFlow code for the forthcoming paper

~ Efficient-CapsNet ~ Are you tired of over inflated and overused convolutional neural networks? You're right! It's time for CAPSULES :)

Vittorio Mazzia 203 Jan 08, 2023
Improving Object Detection by Estimating Bounding Box Quality Accurately

Improving Object Detection by Estimating Bounding Box Quality Accurately Abstrac

2 Apr 14, 2022
Simple tutorials using Google's TensorFlow Framework

TensorFlow-Tutorials Introduction to deep learning based on Google's TensorFlow framework. These tutorials are direct ports of Newmu's Theano Tutorial

Nathan Lintz 6k Jan 06, 2023
RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.

RLMeta rlmeta - a flexible lightweight research framework for Distributed Reinforcement Learning based on PyTorch and moolib Installation To build fro

Meta Research 281 Dec 22, 2022
This repository contains the database and code used in the paper Embedding Arithmetic for Text-driven Image Transformation

This repository contains the database and code used in the paper Embedding Arithmetic for Text-driven Image Transformation (Guillaume Couairon, Holger

Meta Research 31 Oct 17, 2022
DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control

DeepFaceEditing: Deep Face Generation and Editing with Disentangled Geometry and Appearance Control One version of our system is implemented using the

260 Nov 28, 2022
Mae segmentation - Reproduction of semantic segmentation using masked autoencoder (mae)

ADE20k Semantic segmentation with MAE Getting started Install the mmsegmentation

97 Dec 17, 2022
Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges for the practitioner

Sparse network learning with snlpy Very large and sparse networks appear often in the wild and present unique algorithmic opportunities and challenges

Andrew Stolman 1 Apr 30, 2021
Replication package for the manuscript "Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?" submitted to TOSEM

tosem2021-personality-rep-package Replication package for the manuscript "Using Personality Detection Tools for Software Engineering Research: How Far

Collaborative Development Group 1 Dec 13, 2021
Code for the paper "A Study of Face Obfuscation in ImageNet"

A Study of Face Obfuscation in ImageNet Code for the paper: A Study of Face Obfuscation in ImageNet Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng,

35 Oct 04, 2022
Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation This repository is the pytorch implementation of our paper: Hierarchical Cr

43 Nov 21, 2022
A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"

VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video

45 Nov 29, 2022