So I have ~12600 subnets:
eg. 123.123.208.0/20
and an IP.
I can use a SQLite Database or an array or whatever
There was a similar question asked about a month ago, however I am not looking for checking one IP against one subnet but a bunch of subnets (obviously the most efficient way, hopefully not O(total subnets)) :)
How can I check that the IP is one of in one of these subnets, I need true or false not the subnet if that helps optimisation.
There are similar subnets in the current list eg.: (actual extract)
123.123.48.0/22 <-- not a typo
123.123.48.0/24 <-- not a typo
123.123.90.0/24
123.123.91.0/24
123.123.217.0/24
In total they range from 4.x.y.z to 222.x.y.z
The best approach is IMO making use of bitwise operators. For example, 123.123.48.0/22
represents (123<<24)+(123<<16)+(48<<8)+0
(=2071670784; this might be a negative number) as a 32 bit numeric IP address, and -1<<(32-22)
= -1024 as a mask. With this, and likewise, your test IP address converted to a number, you can do:
(inputIP & testMask) == testIP
For example, 123.123.49.123 is in that range, as 2071671163 & -1024
is 2071670784
So, here are some tool functions:
function IPnumber(IPaddress) {
var ip = IPaddress.match(/^(\d+)\.(\d+)\.(\d+)\.(\d+)$/);
if(ip) {
return (+ip[1]<<24) + (+ip[2]<<16) + (+ip[3]<<8) + (+ip[4]);
}
// else ... ?
return null;
}
function IPmask(maskSize) {
return -1<<(32-maskSize)
}
test:
(IPnumber('123.123.49.123') & IPmask('22')) == IPnumber('123.123.48.0')
yields true
.
In case your mask is in the format '255.255.252.0', then you can use the IPnumber function for the mask, too.