Tool used for converting jiffies from iptables xt_recent into timestamps.
Project description
pyjq
A simple Python package to Query Json Data.
Features
- Supports pure json files
- Supports multiple json objects in a file, delimited by newlines (/n)
- Supports gzipped files
- Supports customizabile filters
- Supports pure datetime range filters
Todo
The filters could be extended easily, adopting Python3 stdlib operator.
See pyjq.PyJQ.filter
to extend ops mapping.
Installation
pip install pyjq
Example data
See example/alerts.json
.
pyjq works on lines by lines (splitted by \n).
It have been used for Wazuh alert json files and Django dumps.
pyjq -j examples/django_dump.json -limit 2 -filter 'fields__original_url == https://google.com'
pyjq -j examples/django_dump.json -limit 2 -filter 'model == urlshortener.urlshortener'
Usage
Apply some custom filters with AND and OR operators on Wazuh Alert file
pyjq -j ../Scaricati/alerts.json -filter 'agent__ip == 172.16.16.102 and agent__name == telegram-gw or agent__ip == 172.16.16.108'
Contains operator
pyjq -j ../Scaricati/alerts.json -filter 'rule__description in iptables and agent__name == dev-bastion'
Convert a specified filed to a pure datetime object and filter in a specified range
pyjq -j ../Scaricati/alerts.json -start_datetime 2020-04-06T10:22:00 -end_datetime 2020-04-06T13:22:00 -datetime_field timestamp
Use a gzipped json file directly
pyjq -j ../Scaricati/alerts.json.gzip
Limit results to 2
pyjq -j ../Scaricati/alerts.json -limit 2
Author
Giuseppe De Marco giuseppe.demarco@unical.it
Credits
Wazuh SIEM group @GarrLab
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