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CSV swiss knife brought by CSIRT.cz. Convenable way to process large files that might freeze your spreadsheet processor.

Project description

Convey

Swiss knife for mutual conversion of the web related data types, like base64 or outputs of the programs whois, dig, curl. Convenable way to quickly gather all meaningful information or to process large files that might freeze your spreadsheet processor.

Any input is accepted:

  • a single value input is detected and all meaningful information is fetched
  • multiline base64 string gets decoded
  • log file is converted to CSV
  • CSV file (any delimiter, header or whatever) performs one or more actions
    1. Pick or delete columns (if only some columns are needed)
    2. Add a column (computes one field from another – see below)
    3. Unique filter (no value duplicates)
    4. Value filter (only rows with a specific values are preserved)
    5. Split by a column (produce separate files instead of single file; these can then be sent by generic SMTP or through OTRS)
    6. Change CSV dialect (change delimiter or quoting character)

Python3.6+ required.

Usage

Usage 1 – Single value check

Check what happens if an IP is provided, it returns table with WHOIS-related information and scraped HTTP content.

$ convey 1.1.1.1 # single value input
Input value detected: ip

1.1.1.1 ...au

field             value
----------------  -----------------
prefix            1.1.1.0-1.1.1.255
asn               as13335
abusemail         abuse@apnic.net
country           au
netname           apnic-labs
csirt-contact     -
incident-contact  au
status            200
text              DNSThe free app that makes your (much longer text...)

Usage 2 – CSV processor program

Parses CSV file.

$ convey my-file-with-ips.csv # will trigger file parsing
Source file: /tmp/my-file.csv
Log lines: 200

Sample:
...

Delimiter character found: ','
Quoting character: '"'
Header is present: not used

Could you confirm this? [y]/n
...
...

Usage 3 – Web service

Again, let's provide an IP to the web service, it returns JSON with WHOIS-related information and scraped HTTP content.

# install convey and check where it is installed
$ pip3 show convey
Location: /home/$USER/.local/lib/python3.7/site-packages
# launch __main__.py with uwsgi (note that LACNIC may freeze for 300 s, hence the timeout recommendation)
$ uwsgi --http :26683 --http-timeout 310 --wsgi-file /home/$USER/.local/lib/python3.7/site-packages/convey/__main__.py

# Access: http://localhost:26683/?q=example.com
# {'ip': '93.184.216.34', 'prefix': '93.184.216.0-93.184.216.255', 'asn': '', 'abusemail': 'abuse@verizondigitalmedia.com', 'country': 'unknown', 'netname': 'edgecast-netblk-03', 'csirt-contact': '-', 'incident-contact': 'unknown', 'status': 200, 'text': 'DNSThe free app that makes your (much longer text...)'}

Installation and first run

Launch as a package:

# (optional) setup virtual environment
python3 -m venv venv
. venv/bin/activate
(venv) $ ... # continue below

# download from GitHub
pip3 install git+https://github.com/CZ-NIC/convey.git  # without root use may want to use --user

# launch
convey [filename or input text] # or try `python3 -m convey` if you're not having `.local/bin` in your executable path

Parameter [filename or input text] may be the path of the CSV source file or any text that should be parsed. Note that if the text consist of a single value, program prints out all the computable information and exits; I.E. inputting a base64 string will decode it.

OR launch from a directory

# download from GitHub
git clone git@github.com:CZ-NIC/convey.git
cd convey
pip3 install -r requirements.txt  --user

# launch
./convey.py

Dependencies and troubleshooting

  • You'll be asked to install dialog library at the first run if not already present in the system.
  • If something is missing on your system, maybe you may find help in this command: sudo apt install python3-pip git python3-tk && pip3 install setuptools

Customisation

  • A file config.ini is automatically created in user config folder. This file may be edited for further customisation.
  • If config.ini is present at working directory, that one is used over the one in the user config folder.
  • Launch convey with --help flag to see further options.

Computable fields

We are able to compute these value types:

  • abusemail – got abuse e-mail contact from whois
  • ans – got from whois
  • base64 – encode/decode
  • country – country code from whois
  • csirt-contact – e-mail address corresponding with country code, taken from your personal contacts_foreign CSV in the format country,abusemail. Path to this file has to be specified in config.ini » contacts_foreign
  • custom – you specify method in a custom .py file that receives the field and generates the value for you, see below
  • hostname – domain from url
  • incident-contact – if the IP comes from local country (specified in config.ini » local_country) the field gets abusemail, otherwise we get country. When splitting by this field, convey is subsequently able to send the splitted files to local abuse and foreign csirt contacts
  • ip – translated from url
  • netname – got from whois
  • prefix – got from whois

Detectable fields

We are able to auto-detect these columns:

  • ip – standard IPv4 / IPv6 addresses
  • cidr – CIDR notation, ex: 127.0.0.1/32
  • portIP – IPv4 in the form 1.2.3.4.port
  • anyIP – IPv4 garbled in the form any text 1.2.3.4 any text
  • hostname – or FQDN; 2nd or 3rd domain name
  • url – URL starting with http/https
  • asn – AS Number
  • base64 – text encoded with base64
  • wrongURL – URL that has been deactivated by replacing certain chars, ex: "hxxp://example[.]com"

Custom field example

If you wish to compute a custom field, you'll be dialogued for a path of a python file and desired method that should be used. The contents of the file can be as simple as this:

def any_method(value):
    # do something
    return "modified :)"

You may as well hard code custom fields in the config.ini by providing paths to the entrypoint Python files delimited by a comma: custom_fields_modules = /tmp/myfile.py, /tmp/anotherfile.py. All the public methods in the defined files will become custom fields!

Handsome feature if you're willing to use the Shodan API as our partner or to do anything else.

Examples

Base64 and Regular expressions

# -f, --field adding field syntax: FIELD,[COLUMN],[SOURCE_TYPE],[CUSTOM],[CUSTOM]
# -H, --headless: just quietly print out single value, no dialog

$ convey hello -f base64  -H  # --headless conversion to base64
aGVsbG8=
$ convey aGVsbG8= -H  # automatically identifies input as base64 and produces plaintext
hello

$ convey aGVsbG8= -f reg  # start adding a new reg column wizzard that will take decoded "hello" as input 
$ convey aGVsbG8= -f reg_s,"ll","LL" -H   # substitute 'll' with 'LL'
heLLo

$ convey aGVsbG8= -f reg,plaintext # start adding a new reg column wizzard that will take plaintext "aGVsbG8=" as input 
# specifying plaintext as a source type will prevent implicit convertion from base64
$ convey aGVsbG8= -f reg_s,plaintext,"[A-Z]","!" -H  # substitute uppercase letters with '!'
a!!sb!8=



# We will create an ASN field and split the file.csv by this field, without adding it into the output.
#
# file.csv
# 1.2.3.4,25,2016-02-28T02:27:21-05:00,16019,CZ
# 5.6.7.8,443,2016-02-09T01:12:26-05:00,16019,CZ
# 9.10.11.12,25,2016-02-27T22:20:21-05:00,16019,CZ
$ convey file.csv --field-excluded asn --split asn

CSIRT Usecase

We are using the tool to automate incident handling tasks. The input is any CSV we receive from partners; there is at least one column with IP addresses or URLs. We fetch whois information and produce a set of CSV grouped by country AND/OR abusemail related to IPs. These CSVs are then sent by through OTRS from within the tool.

Credits

Brought by CSIRT.cz.

Project details


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