Skip to main content

Fetch and generate ethercodes data for arpwatch

Project description

Summary

Fetch and generate ethercodes data for arpwatch.

Description

Fetch current IEEE MA-L Assignments file (oui.csv) from IEEE.org, and generate ethercodes.dat for arpwatch consumption.

Fetch oui.csv only, if the timestamp is newer (unless --force is given). Similar, generate ethercodes.dat only, if the timestamps don't match (again, unless --force is given). Use option --keep to (re)generate ethercodes.dat from an existing oui.csv.

Notes

The timestamps of oui.csv fluctuate in a 2 seconds range(!). Therefore compensate the fluctuation by taking a deltat tolerance factor into account.

Usage

Usage: fetch-ethercodes.py [-hVvfkt][-T sec][-O ouifile][-o outfile][-p spec]
       -h, --help           this message
       -V, --version        print version and exit
       -v, --verbose        verbose mode (cumulative)
       -f, --force          force operation
       -k, --keep           keep existing http://standards-oui.ieee.org/oui/oui.csv
       -t, --timestamp      print timestamp
       -T, --deltat sec     tolerance in timestamp comparison
                            (default: 2.5 sec.)
       -O, --ouifile file   IEEE.org host
                            (default: http://standards-oui.ieee.org/oui/oui.csv)
       -o, --outfile file   arpwatch ethercodes
                            (default: ethercodes.dat)
       -p, --patch spec     patch specfile with updated timestamp

Example run

$ fetch-ethercodes.py -v
check http://standards-oui.ieee.org/oui/oui.csv
oui file size: 2264884
oui file date: Wed, 26 Sep 2018 08:06:13 GMT
no local file oui.csv found
fetch http://standards-oui.ieee.org/oui/oui.csv
no local file ethercodes.dat found
parse oui.csv
value 0:1:c8 exists already: "THOMAS CONRAD CORP.", "CONRAD CORP."
value 8:0:30 exists already: "NETWORK RESEARCH CORPORATION", "ROYAL MELBOURNE INST OF TECH"
value 8:0:30 exists already: "NETWORK RESEARCH CORPORATION", "CERN"
generate ethercodes.dat with 25433 entries
successful
timestamp: 20180926_080613

An additional tool query-ethercodes.py is provided, that allows to query the ethercodes.dat database.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fetch-ethercodes-0.5.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

fetch_ethercodes-0.5-py2.py3-none-any.whl (6.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file fetch-ethercodes-0.5.tar.gz.

File metadata

  • Download URL: fetch-ethercodes-0.5.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.27.0 CPython/3.6.5

File hashes

Hashes for fetch-ethercodes-0.5.tar.gz
Algorithm Hash digest
SHA256 7107b94d80991b2940bd904d8f33c8419c222c7f08b1b1748be11b60e807d051
MD5 7835930575518af427c8423fed951754
BLAKE2b-256 546d0b8076a49aa3f4187264c76f9c9237823e1fcbc87a6b8ee683193edc96a5

See more details on using hashes here.

File details

Details for the file fetch_ethercodes-0.5-py2.py3-none-any.whl.

File metadata

  • Download URL: fetch_ethercodes-0.5-py2.py3-none-any.whl
  • Upload date:
  • Size: 6.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.27.0 CPython/3.6.5

File hashes

Hashes for fetch_ethercodes-0.5-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 0e69d429da37047f1e420befb1a89209e9b9a7ceb21f5e4fd6e4742fce42a160
MD5 91e8d4d85b7d210c34df5de0617c5acd
BLAKE2b-256 73a551403c06ae98b3410532b6a8a1b2add5b6d30f809fd9e8642cb1e7051d99

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page