ipaddress doesn't appear to work nicely with data.table objects

[mmfc]

Bug description

When creating objects with data.table::fread() and then using ipaddress::is_within() with them an error is given "Object was created without names"

Expected behaviour:
ipaddress functions should work seamlessly with data.table objects (as they are data.frame objects) or present a more descriptive error if this is not possible.

To Reproduce

library(readr)
library(data.table)
library(dplyr)
library(ipaddress)

# List of input CIDR strings
input_string <- 'address
                             "20.26.18.114/31"
                             "20.26.18.120/30"
                             "20.90.131.116/30"
                             "20.90.132.64/28"
                             "51.104.25.140/31"
                             "51.104.25.152/30"
                             "51.104.25.176/28"
                             "51.104.25.192/29"
                             "51.104.27.0/26"
                             "74.177.72.32/28"
                             "74.177.108.64/26"
                             "131.145.145.192/27"
                             "172.187.71.96/27"'

# Filter address
ip_address <- ipaddress::as_ip_address("51.104.27.12")

# Create a tibble of the input addresses
filter_df <- readr::read_csv(input_string) %>% 
  dplyr::mutate(network = ipaddress::as_ip_network(address))

# Create a data.table of the input addresses
filter_dt <- data.table::fread(input = input_string) %>% 
  dplyr::mutate(network = ipaddress::as_ip_network(address))

# Filter the data.frame version to get only networks that contain the specified ip_address
filtered_df <- filter_df %>% 
  dplyr::filter(ipaddress::is_within(ip_address, network))

# This throws an error
filtered_dt <- filter_dt %>% 
  dplyr::filter(ipaddress::is_within(ip_address, network))

Additional context

This can be resolved by running tibble::as_tibble() on the data.table object, so it appears as though the tbl or tbl_df class are required by ipaddress functions