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This repository has been archived by the owner on Sep 28, 2023. It is now read-only.
The MAC Audit module will take a csv (or any other input, as added in the future) and to compare it with the database of polled mac addresses. The purpose is for things like Rogue AP audits, where a rogue device may be detected, its MAC polled, and then compared against macs connected to switchports for a similar OUI.
For each csv mac address:
Get a list of all polled MAC addresses in the given subnet
Compare the csv MAC against the polled MACS
Generate a confidence rating that indicates how similar the MAC's are
The csv needs at minimum the mac column as well as either a network_ip column or an ip and subnet column.
Challenges:
Currently, MAC addresses are stored by interface. The interface will not always have an associated subnet, due to being a layer 2 interface. The module should intelligently use the device's subnets when an interface specific one isn't available.
The text was updated successfully, but these errors were encountered:
Use ARP instead of MAC Address Table Pros:
-ARP is actually designed for this use case, since it ties IP's to MAC's Cons:
-Layer 2 devices will not have a related entry
-Will have to establish scanning for ARP entries
Tie MAC entries to a device's IP's
For each unique subnet from the CSV, collect a list of the MAC addresses which have that subnet as at least one network on it's associated device. Cons:
-Less accurate
The MAC Audit module will take a csv (or any other input, as added in the future) and to compare it with the database of polled mac addresses. The purpose is for things like Rogue AP audits, where a rogue device may be detected, its MAC polled, and then compared against macs connected to switchports for a similar OUI.
For each csv mac address:
The csv needs at minimum the
mac
column as well as either anetwork_ip
column or anip
andsubnet
column.Challenges:
The text was updated successfully, but these errors were encountered: