Instructions on Adding New Renders

General

The translation engine of Uncoder IO is conceptually composed of renders, parsers, and mapping files for each supported language.

A render is a component that generates the target query/rule from a source language (Sigma, Roota).
A parser is a component that parses the source rule into objects that consequently are used to generate the destination query/rule by the render.
A mapping file is a dictionary that maps the source fields to target fields as well as source log sources to target log sources.

Uncoder IO supports the following parsers:

Roota
Sigma
IOCs

We encourage you to contribute renders that enable translating from Roota, Sigma, and IOCs into your SIEM, EDR/XDR, or Data Lake.

You can find the list of supported target platforms in the platforms directory.

How to Add a New Render

All code related to translation has to be in the directory with the corresponding platform name in uncoder-core/app/translator/platforms.

uncoder-core/app/translator/platforms/<platform_name>/renders – a directory that contains platform renders for different content types (such as rules and queries translated from a source language or queries generated based on parsed IOCs).
const.py – a Python file that contains metainformation about the platform.
escape_manager.py – a Python file that contains classes describing the rules of escaping special characters.
mapping.py – a Python file that contains classes that describe working with mappings.

To add a new render:

Create a directory with the platform name in app/translator/platforms/.
Describe the metainformation about the platform in the const.py file.
Create a class that processes mappings in the mapping.py file.
Create a class that processes special characters in the escaping_manager.py file.
Create the renders directory in uncoder-core/app/translator/platforms/<platform_name>/.
Create a file with the name that matches the name of the platform.
The render is composed of two classes:
a. BaseQueryRender – the class that describes the general mechanism of rendering a query from the tokens parsed from the input query.
b. BaseQueryFieldValue – the class that describes the mechanism of creating the Field-Value component of the query.

Render Classes

These classes should be described in the uncoder-core/app/translator/platforms/<platform_name>/renders/<platform_name>.py file.

BaseQueryRender Class

The class has the following attributes:

mappings – a class responsinble for working with mapping of fields and tables/indexes
details – the metainformation about the platform (described in the const.py file)
is_strict_mapping – a boolean flag that defines if the render's mapping is strict. When set to True, the render returns an error if a field has no mapping
platform_functions – a class responsible for parsing and rendering functions
or_token/and_token/not_token – corresponding platform operators that should be used when generating the target query
field_value_map – a class that creates Field-Value
query_pattern – the template of the source query
comment_symbol – escaping character (metainformation provided for a better context is passed to the output together with the query so it should be commented). If this character allows commenting multiple lines, set the flag is_multi_line_comment == True

The class has the following methods:

The entry point into the process of query rendering is the generate method. Query generation process is started for all mappings that match the input query:
- generate_prefix method – a table or an index is generated (depending on the mapping)
- generate_query method – the query's body is generated. The generate_query method goes through each token parsed from the source query, and using the BaseQueryFieldValue class transforms the FieldValue token into a string value that conforms to the rules and standards of the target platform
- finalize_query method – the output query is generated based on query_pattern with the metainformation added
The process ends with the finalize method validating the translation output and joining the queries that are identical (that is they match multiple log sources)

BaseQueryFieldValue Class

The class has the following attributes:

details – the metainformation about the platform (described in the const.py file)
escape_manager– a class responsible for processing and escaping special characters

The class has the following methods:

__init__ creates a dictionary (map) named field_value where a processing method is connected that depends on the operator that was between the field and its value

Mapping Classes

These classes should be described in the uncoder-core/app/translator/platforms/<platform_name>/mapping.py file.

To describe mappings, you need two classes:

A class that inherits the BasePlatformMappings class – responsible for choosing mapping
A class that inherits the LogSourceSignature class – describes the mapping structure. It's also important to invoke and initialize a class created by inheritance from BasePlatformMappings because later it should be connected to the render.

LogSourceSignature

A class that describes the mapping structure.

The __init__ method describes tabels/indexes that can be applied for a log source. Also there's an important but optional field _default_source, a dictionary that contains the table/index values that can be used for a certain log source at the time of rendering.

The is_suitable method is required. It's used to determine the mapping.

BasePlatformMappings

This class has one required attribute – the name of the directory from which mappings should be taken (all mappings are in uncoder-core/app/translator/mappings/<platform_name>). Only the directory name should be indicated.

This class contains two required methods:

prepare_log_source_signature – a method that transforms mappings obtained from the YAML file into objects
get_suitable_source_mappings – a method that contains the conditions for checking for a suitable mapping depending on fields and tables/indexes.

Escape Manager Class

This class inherits the basic class EscapeManager. It contains a required attribute escape_map. Depending on the Value type (the values searched for in the field) you need to define special characters to be escaped. Value types are defined in uncoder-core/app/translator/core/custom_types/values.py.

const.py

The file where the metainformation about the platform and the rule templates (if any) are stored.

Metainformation

platform_id – unique platform identifier
group_name – platform name to be displayed in the platform selection dropdown in the UI
platform_name – the name of the content type to be displayed on the tab (as well as in the sub-menu of the platform)
group_id – the unique identifier of all content types for a platform

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