Postgres Pro Standard : Documentation: 16: pgpro

pgpro_scout
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pgpro_scout

pgpro_scout — detect sensitive information in a database

Synopsis

pgpro_scout config [option...]

pgpro_scout inspect [option...]

Description #

pgpro_scout is a command-line utility to detect sensitive (confidential) information in a database. pgpro_scout looks for sensitive information in database column names and field values. The search requires a specialized dictionary that the utility allows you to create.

pgpro_scout does not aim to find all the sensitive information, but only performs data intelligence to determine whether such information exists and show sensitive data samples.

pgpro_scout is provided with Postgres Pro Standard as a separate pre-built package pgpro_scout (for the detailed installation instructions, see Chapter 16).

The dictionary is a text file whose lines have the key-value-comment format. Where:

key is a string with the conventional name of a search parameter.
value defines a condition that a database field must meet to be considered sensitive. Can be a regular expression or an array of string values.
comment is a text description of the search condition to be visible in search results.

pgpro_scout generates a report file with information on sample occurrences of the sensitive information found. Refer to the section called “pgpro_scout Report” for details.

pgpro_scout Usage #

To perform the database inspection for occurrences of sensitive information, you need to create the dictionary and launch the search passing a list of database objects to look through.

Creating the pgpro_scout Dictionary #

To create a base dictionary, run the config command. You can update this dictionary and extend it with new search conditions if needed. Here is an example of the dictionary:

scout:
  column_names:
    matchers:
      - key: phones
        match_values: ["phones", "phone"]
        comment: "Phone number fields"
  column_values:
    disabled: true # optional
    case_sensitive: false # optional
    matchers:
      - key: surnames
        disabled: false # optional
        case_sensitive: true # optional
        match_values: ["Holmes", "Watson"]
      - key: phones_data
        pattern: ^((8|\+7)[\- ]?)?(\(?\d{3}\)?[\- ]?)?[\d\- ]{7,10}$
        comment: "Phone numbers"
exclude:
  schemas: ['pgpro_sfile_data', 'dbms_lob', 'profile', 'information_schema', 'pg_catalog', 'pg_toast']
  column_types: ['timestamp with time zone']

Dictionary Structure #

The dictionary consists of the following sections:

scout — contains the description of search conditions.
exclude — lists database schemas and field types to be excluded from the search.

These types of search conditions can be specified:

column_names — field names.
column_values — field values.

A matchers element contains a list of search conditions. Each matchers element may contain the following parameters:

key — the search key.
match_values — the list of strings to look for in the database fields. Do not specify together with pattern.
pattern — a regular expression for search in the database fields. Do not specify together with match_values.
case_sensitive — a boolean value to define whether the search is case-sensitive if match_values is specified.
disabled — a boolean value to define whether to exclude the condition from the search.
comment — the comment to be shown in the report file.

Specifying Database Objects to Look through #

To specify the objects to look through, use the --search-path option when launching the search. --search-path takes a string that contains comma-separated substrings with database objects to restrict the search to:

To restrict the search to a database schema, specify a substring with the schema name.
To restrict the search to an individual table or tables, specify a substring like this: SCHEMA.TABLE or SCHEMA.{TABLE1, TABLE2}.
To restrict the search to an individual column or columns of a certain table, specify a substring like this: SCHEMA.TABLE.COLUMN or SCHEMA.TABLE.{COLUMN1, COLUMN2}.

Table I.1. Examples of Specifying Search Objects

`--search-path` Value	Search Range
`public`	All tables (with all columns) in the `public` schema.
`public.{products, sales}`	`products` and `sales` tables (with all columns) in the `public` schema.
`public.products.{id, email}`	`id` and `email` columns of the `products` table in the `public` schema.
`public.products`	Only the `public.products` table.
`public.products,events,holds.card.id`	The `public.products` table, all tables in the `events` schema, and the `id` column of the `holds.card` table.

Launching the Search of Sensitive Information #

To launch the search of sensitive information with the available dictionary, run the inspect command specifying --search path as explained in the section called “Specifying Database Objects to Look through”.

Command-Line Reference #

This section describes pgpro_scout commands. Optional parameters are enclosed in square brackets.

config #

pgpro_scout config [--out|-o string] [--override|-O] [--help|-h]

Generates a base pgpro_scout dictionary. The meaning of the options is as follows:

--h --help: Output the command reference information.
-O --override: Override the dictionary file if it exists.
-o filepath --out filepath: Path to the dictionary file.

inspect #

pgpro_scout inspect [--batch-size|-b uint] [--config-file|-f string]
[--dbname|-d string] [--disable-comment] [--hidden-sample] [--host|-H string]
[--order|-O string] [--output|-o string] [--password|-W string]
[--port|-p uint16] [--report-buffer uint16] [--rows-number|-n uint16]
[--sample-size uint16] [--search-path|-s string]
[--threads|-j int] [--username|-U string] [--help|-h]

Launches the search of sensitive information. The meaning of the options is as follows:

-b size --batch-size size #

Number of database rows to be processed by one query for each task.

Default: 1000.

-f filepath --config-file filepath #

Path to the dictionary file.

--d name --dbname name #

Database name to connect to.

--disable-comment #

Create the report file without comments.

--h string --help string #

Output the command reference information.

--hidden-sample #

Mask found samples in the report. For example: Br**te will be output instead of Bronte.

--H name --host name #

Database host name or IP address.

Default: localhost.

-O search_order --order search_order #

The order of looking through rows. Possible values:

tail — get last rows
head — get first rows
random — get random rows

Default: head.

-o filepath --output filepath #

Path to the report file.

--W string --password string #

Password to connect to the database.

--p name --port name #

Database port.

Default: 5432.

--report-buffer size #

Size of the report buffer.

Default: 64

-n number --rows-number number #

Number of rows to look through in each table.

Default: 10000.

--sample-size number #

Number of found samples to be included in the report for each table. If set to 0, samples of found rows will not be included in the report.

Default: 5.

-s filepath --search-path filepath #

List of schemas, tables, and fields to look through. See the section called “Specifying Database Objects to Look through” for details.

Default: 5.

-j filepath --threads filepath #

Number of threads used to run the utility.

Default: 14.

--U name --username name #

Username to connect to the database.

pgpro_scout Report #

A csv file is created as a result of pgpro_scout search. This file provides the following information:

Date and time of the search completion.
Report field headings.
Search results.

Report Structure #

The search results contain the following fields:

Table I.2. Report Fields

Name	Description
`location`	Full name of a table, that is <schema name>.<table_name>, with the occurrence found.
`column`	Column of the table.
`key`	Key of the search condition from the dictionary.
`comment`	Comment of the search condition from the dictionary.
`sample`	Sample occurrence found. If the search is run with `--sample-size` = 0, this field is not included in the report. To mask the contents of this field, enable `--hidden-sample` when launching the search.

The report will contain not more than --sample-size lines for each table.

Example #

The following is an example of the report file:

#report time: 2025-06-16T11:10:58+03:00
location,column,key,comment, sample
public.expected,phone,phones,Phone numbers,
events.holds,user_surname,surname,Last names, Holmes
events.holds,user_surname,surname,Last names, Watson

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