projectdiscovery/mapcidr projectdiscovery/mapcidr

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    Go
  • License
    MIT License
  • Created over 3 years ago
  • Updated 9 months ago
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projectdiscovery/mapcidr
github

projectdiscovery

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Repository Details

Small utility program to perform multiple operations for a given subnet/CIDR ranges.

mapCIDR

A utility program to perform multiple operations for a given subnet/cidr ranges.

Features β€’ Install β€’ Usage β€’ Library β€’ Join Discord

mapCIDR is developed to ease load distribution for mass scanning operations, it can be used both as a library and as independent CLI tool.

Features

mapCIDR

  • CIDR expansion support (default)
  • CIDR slicing support (sbh, sbc)
  • CIDR/IP aggregation support (a, aa)
  • CIDR/IP matcher support (match-ip)
  • CIDR/IP filter support (filter-ip)
  • CIDR/IP sorting support (s, sr)
  • CIDR host count support (count)
  • Multiple IP Format support (ip-format)
  • IP/PORT shuffling support (si, sp)
  • IPv4/IPv6 Conversation support (t4, t6)
  • CIDR STDIN (pipe) input support

Installation

go install -v github.com/projectdiscovery/mapcidr/cmd/mapcidr@latest

Usage

mapcidr -h

This will display help for the tool. Here are all the switches it supports.

INPUT:
   -cl, -cidr string[]  CIDR/IP/File containing list of CIDR/IP to process

PROCESS:
   -sbc int                  Slice CIDRs by given CIDR count
   -sbh int                  Slice CIDRs by given HOST count
   -a, -aggregate            Aggregate IPs/CIDRs into minimum subnet
   -aa, -aggregate-approx    Aggregate sparse IPs/CIDRs into minimum approximated subnet
   -c, -count                Count number of IPs in given CIDR
   -t4, -to-ipv4             Convert IPs to IPv4 format
   -t6, -to-ipv6             Convert IPs to IPv6 format
   -ip-format, -if string[]  IP formats (0,1,2,3,4,5,6,7,8,9,10,11)
   -zpn, -zero-pad-n int     number of padded zero to use (default 3)
   -zpp, -zero-pad-permute   enable permutations from 0 to zero-pad-n for each octets

FILTER:
   -f4, -filter-ipv4         Filter IPv4 IPs from input
   -f6, -filter-ipv6         Filter IPv6 IPs from input
   -skip-base                Skip base IPs (ending in .0) in output
   -skip-broadcast           Skip broadcast IPs (ending in .255) in output
   -mi, -match-ip string[]   IP/CIDR/FILE containing list of IP/CIDR to match (comma-separated, file input)
   -fi, -filter-ip string[]  IP/CIDR/FILE containing list of IP/CIDR to filter (comma-separated, file input)

MISCELLANEOUS:
   -s, -sort                  Sort input IPs/CIDRs in ascending order
   -sr, -sort-reverse         Sort input IPs/CIDRs in descending order
   -si, -shuffle-ip           Shuffle Input IPs in random order
   -sp, -shuffle-port string  Shuffle Input IP:Port in random order

UPDATE:
   -up, -update                 update mapcidr to latest version
   -duc, -disable-update-check  disable automatic mapcidr update check
   
OUTPUT:
   -verbose            Verbose mode
   -o, -output string  File to write output to
   -silent             Silent mode
   -version            Show version of the project

Running mapCIDR

In order to get list of IPs for a give CIDR, use the following command.

CIDR expansion

mapcidr -cidr 173.0.84.0/24
                   ____________  ___    
  __ _  ___ ____  / ___/  _/ _ \/ _ \
 /  ' \/ _ '/ _ \/ /___/ // // / , _/   
/_/_/_/\_,_/ .__/\___/___/____/_/|_| v0.5
          /_/                                                     	 

		projectdiscovery.io

[WRN] Use with caution. You are responsible for your actions
[WRN] Developers assume no liability and are not responsible for any misuse or damage.

173.0.84.0
173.0.84.1
173.0.84.2
173.0.84.3
173.0.84.4
173.0.84.5
173.0.84.13
173.0.84.14
173.0.84.15
173.0.84.16

It is also possible to get list of IP's for a given IP range, use the following command

$ echo "192.168.0.0-192.168.0.5" | mapcidr
192.168.0.0
192.168.0.1
192.168.0.2
192.168.0.3
192.168.0.4
192.168.0.5

CIDR Slicing by CIDR Count

In order to slice given CIDR or list of CIDR by CIDR count or slice into multiple and equal smaller subnets, use the following command.

mapcidr -cidr 173.0.84.0/24 -sbc 10 -silent
173.0.84.0/27
173.0.84.32/27
173.0.84.64/27
173.0.84.96/27
173.0.84.128/27
173.0.84.160/27
173.0.84.208/28
173.0.84.192/28
173.0.84.240/28
173.0.84.224/28

CIDR slicing by HOST Count

In order to slice given CIDR for equal number of host count in each CIDR, use the following command.

mapcidr -cidr 173.0.84.0/16 -sbh 20000 -silent
173.0.0.0/18
173.0.64.0/18
173.0.128.0/18
173.0.192.0/18

Note: it's possible to obtain a perfect split only when the desired amount of slices or hosts per subnet is a powers of two. Otherwise, the tool will attempt to automatically find the best split strategy to obtain the desired outcome.

CIDR/IP Aggregation

In order to merge multiple CIDR ranges into smaller subnet block, use the following command.

$ mapcidr -cl cidrs.txt -aggregate

In order to list CIDR blocks for given list of IPs, use the following command.

$ mapcidr -il ips.txt -aggregate

It's also possible to perform approximated aggregations for sparse ips groups (only version 4). The final interval will contain contiguous ips not belonging to the input:

$ cat ips.txt 

1.1.1.1
1.1.1.16
1.1.1.31
$ cat ips.txt | mapcidr -aggregate-approx

1.1.1.0/27

In order to list CIDR blocks for given IP Range (IPv4 | IPv6), use the following command.

 $ mapcidr  -cl 192.168.0.1-192.168.0.255 -aggregate
 OR
 $ echo 192.168.0.1-192.168.0.255 | mapcidr -aggregate

192.168.0.1/32
192.168.0.2/31
192.168.0.4/30
192.168.0.8/29
192.168.0.16/28
192.168.0.32/27
192.168.0.64/26
192.168.0.128/25

Match / Filter IP's from CIDR

In order to match IPs from the given list of CIDR ranges, use the following command.

$ mapcidr -cidr 192.168.1.0/24 -mi 192.168.1.253,192.168.1.252
$ mapcidr -cidr 192.168.1.0/24 -mi ip_list_to_match.txt

In order to match IPs from the given list of CIDR ranges, use the following command.

$ mapcidr -cidr 192.168.1.224/28 -fi 192.168.1.233,192.168.1.234
$ mapcidr -cidr 192.168.1.224/28 -fi ip_list_to_filter.txt

IP Formats

In order to represent given IP into multiple formats, -if 0 flag can be used to display all the supported format values, and specific type of format can be displayed using specific index number as listed here, currently 10 unique formats are supported.

$ echo 127.0.1.0 | mapcidr -if 0 -silent

127.0.1.0
127.1
0177.0.01.0
0x7f.0x0.0x1.0x0
0x7f000100
0xabfa659dfa7f000100
281472812450048
111111111111111101111111000000000000000100000000
0x7f.0.01.0x0
::ffff:7f00:0100
%31%32%37%2E%30%2E%31%2E%30
127.000.001.000

IP Conversion

IPv4 | IPv6 addresses can be converted from either the v6 to v4 notation or IPv4-mapped notation into IPv4 addresses using -t4 and -t6 to IPv4 and IPv6 respectively.

$ cat ips.txt 

1.1.1.1
2.2.2.2
$ mapcidr -cl ips.txt -t6

00:00:00:00:00:ffff:0101:0101
00:00:00:00:00:ffff:0202:0202

Note:

Not all IPv6 address can be converted to IPv4. You can only convert valid IPv4 represented IPv6 addresses.

CIDR Host Counting

In order to count number of hosts for a given CIDR or list of CIDR, use the following command.

$ echo 173.0.84.0/16 | mapcidr -count -silent

65536

ASN Input

In order to get the IP address of ASN number, use the following command

echo AS15133 | mapcidr -silent

5.104.64.0
5.104.64.1
5.104.64.2
5.104.64.3
5.104.64.4

Use mapCIDR as a library

It's possible to use the library directly in your go programs. The following code snippets outline how to divide a cidr into subnets, and how to divide the same into subnets containing a certain number of hosts

package main

import (
	"fmt"

	"github.com/projectdiscovery/mapcidr"
)

func main() {
	// Divide the CIDR into two subnets
	subnets1 := mapcidr.SplitN("192.168.1.0/24", 2)
	for _, subnet := range subnets1 {
		fmt.Println(subnet)
	}
	// Divide the CIDR into two subnets containing 128 hosts each
	subnets2 := mapcidr.SplitByNumber("192.168.1.0/24", 128)
	for _, subnet := range subnets2 {
		fmt.Println(subnet)
	}

	// List all ips in the CIDR
	ips, _ := mapcidr.IPAddresses("192.168.1.0/24")
	for _, ip := range ips {
		fmt.Println(ip)
	}
}

mapCDIR is made with πŸ–€ by the projectdiscovery team.

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