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Tool to Process Smart Search Results and Identify Top Senders

Project description

Proofpoint Sender Analyzer

This tool helps identify the top senders based on smart search outbound message exports or CSV data.

Requirements:

  • Python 3.9+

Installing the Package

You can install the tool using the following command directly from Github.

pip install git+https://github.com/pfptcommunity/senderstats.git

or can install the tool using pip.

# When testing on Ubuntu 24.04 the following will not work:
pip install senderstats

If you see an error similar to the following:

error: externally-managed-environment

× This environment is externally managed
╰─> To install Python packages system-wide, try apt install
    python3-xyz, where xyz is the package you are trying to
    install.

    If you wish to install a non-Debian-packaged Python package,
    create a virtual environment using python3 -m venv path/to/venv.
    Then use path/to/venv/bin/python and path/to/venv/bin/pip. Make
    sure you have python3-full installed.

    If you wish to install a non-Debian packaged Python application,
    it may be easiest to use pipx install xyz, which will manage a
    virtual environment for you. Make sure you have pipx installed.

    See /usr/share/doc/python3.12/README.venv for more information.

note: If you believe this is a mistake, please contact your Python installation or OS distribution provider. You can override this, at the risk of breaking your Python installation or OS, by passing --break-system-packages.
hint: See PEP 668 for the detailed specification.

You should use install pipx or you can configure your own virtual environment and use the command referenced above.

pipx install senderstats

Use Cases:

Outbound message volumes and data transferred by:

  • Envelope sender
  • Header From:
  • Return-Path:
  • Envelope header: From:, MessageID Host, MessageID Domain (helpful to identify original sender)
  • Envelope sender and header From: for SPF alignment purposes
  • Random subject line sampling to help understand the type of traffic
  • Peak Hourly Volumes

Summarize message volume information:

  • Estimated application email traffic based on sender volume threshold:
    • Estimated application data
    • Estimated application messages
    • Estimated application average size
  • Total outbound data
    • Total outbound data
    • Total outbound messages
    • Total outbound average size
    • Total outbound peak hourly volume

Usage Options:

usage: senderstats [-h] -i <file> [<file> ...] -o <xlsx> [--mfrom MFrom] [--hfrom HFrom] [--rcpts Rcpts]
                   [--rpath RPath] [--msgid MsgID] [--subject Subject] [--size MsgSz] [--date Date] [--gen-hfrom]
                   [--gen-rpath] [--gen-alignment] [--gen-msgid] [--expand-recipients] [--no-display-name]
                   [--remove-prvs] [--decode-srs] [--no-empty-hfrom] [--sample-subject]
                   [--excluded-domains <domain> [<domain> ...]] [--restrict-domains <domain> [<domain> ...]]
                   [--excluded-senders <sender> [<sender> ...]] [--date-format DateFmt]

This tool helps identify the top senders based on smart search outbound message exports.

Input / Output arguments (required):
  -i <file> [<file> ...], --input <file> [<file> ...]  Smart search files to read.
  -o <xlsx>, --output <xlsx>                           Output file

Field mapping arguments (optional):
  --mfrom MFrom                                        CSV field of the envelope sender address. (default=Sender)
  --hfrom HFrom                                        CSV field of the header From: address. (default=Header_From)
  --rcpts Rcpts                                        CSV field of the header recipient addresses. (default=Recipients)
  --rpath RPath                                        CSV field of the Return-Path: address. (default=Header_Return-Path)
  --msgid MsgID                                        CSV field of the message ID. (default=Message_ID)
  --subject Subject                                    CSV field of the Subject, only used if --sample-subject is specified. (default=Subject)
  --size MsgSz                                         CSV field of message size. (default=Message_Size)
  --date Date                                          CSV field of message date/time. (default=Date)

Reporting control arguments (optional):
  --gen-hfrom                                          Generate report showing the header From: data for messages being sent.
  --gen-rpath                                          Generate report showing return path for messages being sent.
  --gen-alignment                                      Generate report showing envelope sender and header From: alignment
  --gen-msgid                                          Generate report showing parsed Message ID. Helps determine the sending system

Parsing behavior arguments (optional):
  --expand-recipients                                  Expand recipients counts messages by destination. E.g. 1 message going to 3 people, is 3 messages sent.
  --no-display-name                                    Remove display and use address only. Converts 'Display Name <user@domain.com>' to 'user@domain.com'
  --remove-prvs                                        Remove return path verification strings e.g. prvs=tag=sender@domain.com
  --decode-srs                                         Convert sender rewrite scheme, forwardmailbox+srs=hash=tt=domain.com=user to user@domain.com
  --no-empty-hfrom                                     If the header From: is empty the envelope sender address is used
  --sample-subject                                     Enable probabilistic random sampling of subject lines found during processing
  --excluded-domains <domain> [<domain> ...]           Exclude domains from processing.
  --restrict-domains <domain> [<domain> ...]           Constrain domains for processing.
  --excluded-senders <sender> [<sender> ...]           Exclude senders from processing.
  --date-format DateFmt                                Date format used to parse the timestamps. (default=%Y-%m-%dT%H:%M:%S.%f%z)

Usage:
  -h, --help                                           Show this help message and exit

Using the Tool with Proofpoint Smart Search

Export all outbound message traffic as a smart search CSV. You may need to export multiple CSVs if the data per time window exceeds 1M records. The tool can ingest multiple CSVs files at once.

smart_search_outbound

Once the files are downlaoded to a target folder, you can run the following command with the path to the files you downloaded and specify a wildard.

The following example is the most basic usage:

# Windows
senderstats -i C:\path\to\downloaded\files\smart_search_results_cluster_hosted_2024_03_04_*.csv -o C:\path\to\output\file\my_cluster_hosted.xlsx
# Linux
senderstats -i /path/to/downloaded/files/smart_search_results_cluster_hosted_2024_03_04_*.csv -o /path/to/output/file/my_cluster_hosted.xlsx

For a more comprehensive report use the following command:

# Windows
senderstats -i C:\path\to\downloaded\files\smart_search_results_cluster_hosted_2024_03_04_*.csv -o C:\path\to\output\file\my_cluster_hosted.xlsx --remove-prvs --decode-srs --gen-hfrom --gen-alignment --gen-msgid --sample-subject
# Linux
senderstats -i /path/to/downloaded/files/smart_search_results_cluster_hosted_2024_03_04_*.csv -o /path/to/output/file/my_cluster_hosted.xlsx --remove-prvs --decode-srs --gen-hfrom --gen-alignment --gen-msgid --sample-subject

Expanding recipients counts messages by destination via --expand-recipients:

This is useful if you need to determine how many messages were sent to a destination, as a single message can be addressed to multiple recipients.

# Windows
senderstats -i C:\path\to\downloaded\files\smart_search_results_cluster_hosted_2024_03_04_*.csv -o C:\path\to\output\file\my_cluster_hosted.xlsx --remove-prvs --decode-srs --gen-hfrom --gen-alignment --gen-msgid --sample-subject --expand-recipients
# Linux
senderstats -i /path/to/downloaded/files/smart_search_results_cluster_hosted_2024_03_04_*.csv -o /path/to/output/file/my_cluster_hosted.xlsx --remove-prvs --decode-srs --gen-hfrom --gen-alignment --gen-msgid --sample-subject --expand-recipients

Sample Output

The execution results should look similar to the following depending the options you select.

Files to be processed:
C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173552.csv
C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173855.csv
C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173656.csv
C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173754.csv
C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173834.csv

Domains excluded from processing:
knowledgefront.com
pphosted.com
ppops.net

Processing:  C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173552.csv
Processing:  C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173855.csv
Processing:  C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173656.csv
Processing:  C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173754.csv
Processing:  C:\Users\ljerabek\Downloads\smart_search_results_cluster_hosted_2024_03_04_173834.csv

Please see report: C:\Users\ljerabek\Downloads\my_cluster_hosted.xlsx

Sample Summary Statistics

image

Sample Details (Sender + From by Volume):

image

Sample Details (Message ID) Inferencing:

image

Sample Details (Hourly Metrics):

image

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