This script converts an input value into another value using two lists. The input value or range is searched in the first list (map_from).
If it exists, the value at the same index from the second list (map_to) is returned. If there is no match, the original value is returned.
This script supports mapping from either ranges of float numbers or text strings.

Example 1:

map_from = "1,2,3,4"
map_to = "4,3,2,1"
value = 3

Output is "2"

Example 2:

map_from = "1-3,4"
map_to = "5,1"
value = 3

Output is "5".

Reverse a list
e.g. ["Mars", "Jupiter", "Saturn"] => ["Saturn", "Jupiter", "Mars"]

This is an example for entire-list transformer - it operates the argument as a list (note the "entirelist" tag).

Checks whether an IPv4 or IPv6 address is not contained in one or more comma-delimited CIDR ranges.

A transformer for simple if-then-else logic.

Extraction of all matches from a specified regular expression pattern from a provided string. Returns an array of results. This differs from RegexGroups in several ways:

• It returns all matches of the specified pattern, not just specific groups. This is useful for extracting things using a pattern where the content of the source string is indeterminate, such as extracting all email addresses.
• Some "convenience" arguments have been added to enhance usability: multi-line, ignore_case, period_matches_newline
• Added a new argument, "error_if_no_match". The script will not ordinarily throw an error if a match is not found but if not using as a transformer within a playbook, it may, in certain limited circumstances, be desirable to throw an error if the expression doesn't match.
• It uses the 'regex' library, which supports more some more advanced regex functionality than the standard 're' library. For more info, see https://pypi.org/project/regex/.

Accepts an array of domains as an allow list, and a list of email addresses. The script then filters out any email address whose domain is not in the allow list. The filtered list will be returned as an array.

Return all items from the list where their given 'field' attribute is equal to 'equalTo' argument

E.g. !WhereFieldEquals with the following arguments:

• value=[{ "name": "192.1,0.82", "type": "IP" }, { "name": "myFile.txt", "type": "File" }, { "name": "172.0.0.2", "type": "IP" }]
• field='type'
• equalTo='IP'
• getField='name'

Will return all items names where field 'type' equals 'IP' - ['192.1,0.82', '172.0.0.2'].

This transformer will sort an array of dictionary values by keys in ascending or descending order.

Converts string to array.
For example: http://example.com/?score:1,4,time:55 will be transformed to ["http://example.com/?score:1,4,time:55"].

Accepts an array of domains as a block list, and a list of email addresses. The script then filters out any email address whose domain is in the block list. The filtered list will be returned as an array.

Returns the first element of an array. If the value passed is not an array, it returns the original value that was passed.

Checks whether a substring or an array of substrings is within a string array(each item will be checked). Supports single strings as well. For example, for substrings ['a','b','c'] in a string 'a' the script will return true.

Convert all chosen values but exceptions.

Cut a string by delimiter and return specific fields.

Example

input: "A-B-C-D-E"
delimiter: "-"
fields: "1,5"

return: "A-E".

Sums a List
e.g. ["25", "10", "25"] => "60"

This is an example for number transformer.

Check if number of availble addresses in IPv4 CIDR is lower than given number.

Determines whether an IPv4 or IPv6 address is contained in at least one of the comma-delimited CIDR ranges. Multiple IPv4/IPv6 addresses can be passed comma-delimited and each will be tested. A mix of IPv4 and IPv6 addresses will always return false.

Returns the last element of an array. If the value passed is not an array, it returns the original value that was passed.

This transformer will take in a value and transform it based on multiple condition expressions (wildcard, regex, etc) defined in a JSON dictionary structure. The key:value pair of the JSON dictionary should be:

"condition expression": "desired outcome"

For example:

{
".match 1.": "Dest Val1",
".match 2.": "Dest Val2",
".match 3(.)": "\1",
"match 4": {
"algorithm": "wildcard",
"output": "Dest Val4"
}
}

The transformer will return the value matched to a pattern following to the priority.
When unmatched or the input value is structured (dict or list), it will simply return the input value.

Extracts email addresses from the given value.

Removed selected fields from the JSON object.

A filter that receives a single IPv4 address string as an input and determines whether it is in the private RFC-1918 address space (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16). For more information, see https://en.wikipedia.org/wiki/Private_network

Takes a date or time input and adds or subtracts a determined amount of time. Returns a string in date or time in ISO Format.

This transformer will remove elements of the array that contain an identical combination of values for the keys given.

Checks whether a given CIDR prefix is bigger than the defined maximum prefix.

Remove empty items, entries or nodes from the array.

This script converts the input value into another value using two lists. The input value is searched in the first list (input_values).
If it exists, the value from the second list (mapped_values) at the same index is retutrned. If there is no match, the original value is returned.
If the original input is a dictionary, then the script will look for a "stringified" version of the key/:/value pair in the input_values and then map the result in the output_values into the original "value".

Example 1:

input_values = "1,2,3,4"
mapper_values = "4,3,2,1"
value = 3

Output would be "2"

Example 2:

input_values ="firstkey: datahere,secondkey: datathere"
mapper_values = "datathere,datahere"
value(dict)= {
"firstkey": "datahere"
}

Output would be:
{
"firstkey": "datathere"
}

The reason for matching the key AND value pair in a dictionary is to allow the mappig of values that have a specific key name. In most cases, dictionaries will continan key-value pairs in which the values are the same. You might want to change the value of KeyA, but not the value of KeyB. This method gives control over which key is changed.

When the input is a dict, str , int, or list, the output is ALWAYS returned as a string.

Returns a string concatenated with given a prefix and suffix which supports DT expressions.

Checks an object for an empty value and returns a pre-set default value.

checks if left side is in range of right side (from,to anotation)
e.g. - InRange left=4right=1,8 will return true.

A transformer for if-elif-else logic.

Accepts a json object and returns a markdown.

Extraction of elements which are contained in all the subgroups of the match to the pattern.
For example, extracting from the string "The quick brown fox" the object {"article":"The","noun":quick"}
(See arguments descriptions for more details).

Build text from a template that can include DT expressions.

Return the single element in case the array has only 1 element in it, otherwise return the whole array.

Find tables inside HTML and extract the contents into objects using the following logic:

• If table has 2 columns and has no header row, treat the first column as key and second as value and create a table of key/value
• If table has a header row, create a table of objects where attribute names are the headers
• If table does not have a header row, create table of objects where attribute names are cell1, cell2, cell3…

This is a thin wrapper around the dateutil.parser.parse function. It will parse a string containing a date/time stamp and return it in ISO 8601 format.

Transformer that returns a filtered list of IPv4 addresses, based on whether they do not match a comma-separated list of IPv4 ranges. Useful for filtering out internal IP address space.

Convert object keys to match table keys.
Use when mapping object/collection to table (grid) field.
(Array of objects/collections is also supported).
Example:
Input: { "Engine": "val1", "Max Results": 13892378, "Key_With^Special (characters)": true }
Output: { "engine": "val1", "maxresults": 13892378, "keywithspecialcharacters": true }

Decodes an input in Base64 format.

Performs a JMESPath search on an input JSON format, when using a transformer.

Removes items from the given list of values if they match any of the patterns in the provided filters.
If the match_exact argument is 'yes', direct string compare is used, otherwise the comparison is done using regex.

Converts a custom-formatted timestamp to UNIX epoch time. Use it to convert custom time stamps to a XSOAR date field. If you pass formatter argument, we will use it to transform. If not, we will use dateparser.parse for transforming. For more info, see: https://docs.python.org/3.7/library/datetime.html#strftime-and-strptime-behavior

This automation allows the usage of DT scripts within playbooks transformers

Extract the strings matched to the patterns by doing backslash substitution on the template string.
This transformer allow to input multiple regex patterns and multiple match targets, and those can be given in the input value and the argument parameters.

Return the string encoded with JSON from the whole array

Checks whether the given value is within the specified time (hour) range.

Each entry in an array is merged into the existing array if the keyed-value matches.

Extract a string from an existing string.

Append item(s) to the end of the list if they are not empty.

Strip set of characters from prefix and/or suffix
e.g. StripChar value=~!!~www.mydomain.com~!~!~ chars=!~ will return www.mydomain.com

Checks the given datetime has occured after the provided relative time.

Parse a given JSON string "value" to a representative object. Example: '{"a": "value"}' => {"a": "value"}.

Transformer that returns a filtered list of IPv4 addresses, based on whether they match a comma-separated list of IPv4 ranges. Useful for filtering in internal IP address space.

This transformer will create a list of dictionary by aggregating elements from two arrays.
The one is given by value (with array1_key), another is given by array2 (with array2_key).

Converts UNIX Epoch time stamp to a simplified extended ISO format string. Use it to convert time stamp to Demisto date field

e.g. 1525006939 will return '2018-04-29T13:02:19.000Z'

Checks whether a given domain is a subdomain of one of the listed domains.

The script receives a list of fields and a context key base path. For example, Key=Test.result List=username,user and will get all of the values from Test.result.username and Test.result.user.
The Get field of the task must have the value ${.=[]}.

Gets specified indexes of a list.

Format patterns matched with regex. If the regex does not match any pattern, the original value is returned.

Example 1:
value: user=john
regex: user=(.*)
output_format: name=\1
-> output value: name=john

Example 2:
value: xxx=yyy
regex: user=(.*)
output_format: name=\1
-> output value: xxx=yyy

Returns all elements from the left side that have a substring that is equal to an element from the right side. Note: This filter is case-insensitive.
E.g -AnyMatch left=baby right=A will return baby. For more examples see the filter's Readme.

Adds zeros (0) to the beginning of the string, until the string reaches the specified length.

Returns the product of two lists, joined by a separator, as a list of strings.

Whether value is within a date range.

Check if number of availble addresses in IPv4 or IPv6 CIDR is greater than given number.

Takes a date or time input and get time components in a specific time zone.
Returns a dictionary with the following components.

• year
• year_4_digit
• month
• month_3_letter
• month_full_name
• month_2_digit
• day
• day_2_digit
• day_of_week (Sun:0, Sat:6)
• day_of_week_3_letter
• day_of_week_full_name
• day_of_year
• day_of_year_3_digit
• hour
• hour_12_clock
• hour_2_digit_24_clock
• hour_2_digit_12_clock
• hour_of_day
• minute
• minute_2_digit
• minute_of_day
• second
• second_2_digit
• second_of_day
• millisecond
• period_12_clock
• time_zone_hhmm
• time_zone_offset
• time_zone_abbreviations
• unix_epoch_time
• iso_8601
• y-m-d
• yyyy-mm-dd
• hⓂ️s
• HⓂ️s
• hh:mm:ss
• HH:mm:ss.

Converts
https:%2F%2Fexample.com
into
https://example.com

Converts a single string to an array of that string.

Encodes a URL string by replacing special characters in the string using the %xx escape. For example: https://example.com converts to https:%2F%2Fexample.com.

Transformer that returns a filtered list of IPv4 addresses, based on whether they do not match a comma-separated list of IPv4 ranges. Useful for filtering out internal IP address space.

This is a thin wrapper around the dateutil.parser.parse function. It will parse a string containing a date/time stamp and return it in ISO 8601 format.

Decodes an input in Base64 format.

Strip set of characters from prefix and/or suffix
e.g. StripChar value=~!!~www.mydomain.com~!~!~ chars=!~ will return www.mydomain.com

Parse a given JSON string "value" to a representative object. Example: '{"a": "value"}' => {"a": "value"}.

A transformer for simple if-then-else logic.

Check if number of availble addresses in IPv4 or IPv6 CIDR is greater than given number.

Checks whether a given domain is a subdomain of one of the listed domains.

Remove empty items, entries or nodes from the array.

Sums a List
e.g. ["25", "10", "25"] => "60"

This is an example for number transformer.

This automation allows the usage of DT scripts within playbooks transformers

Takes a date or time input and get time components in a specific time zone.
Returns a dictionary with the following components.

• year
• year_4_digit
• month
• month_3_letter
• month_full_name
• month_2_digit
• day
• day_2_digit
• day_of_week (Sun:0, Sat:6)
• day_of_week_3_letter
• day_of_week_full_name
• day_of_year
• day_of_year_3_digit
• hour
• hour_12_clock
• hour_2_digit_24_clock
• hour_2_digit_12_clock
• hour_of_day
• minute
• minute_2_digit
• minute_of_day
• second
• second_2_digit
• second_of_day
• millisecond
• period_12_clock
• time_zone_hhmm
• time_zone_offset
• time_zone_abbreviations
• unix_epoch_time
• iso_8601
• y-m-d
• yyyy-mm-dd
• hⓂ️s
• HⓂ️s
• hh:mm:ss
• HH:mm:ss.

Extract the strings matched to the patterns by doing backslash substitution on the template string.
This transformer allow to input multiple regex patterns and multiple match targets, and those can be given in the input value and the argument parameters.

Build text from a template that can include DT expressions.

Extracts email addresses from the given value.

Accepts an array of domains as an allow list, and a list of email addresses. The script then filters out any email address whose domain is not in the allow list. The filtered list will be returned as an array.

Checks whether the given value is within the specified time (hour) range.

This transformer will take in a value and transform it based on multiple condition expressions (wildcard, regex, etc) defined in a JSON dictionary structure. The key:value pair of the JSON dictionary should be:

"condition expression": "desired outcome"

For example:

{
".match 1.": "Dest Val1",
".match 2.": "Dest Val2",
".match 3(.)": "\1",
"match 4": {
"algorithm": "wildcard",
"output": "Dest Val4"
}
}

The transformer will return the value matched to a pattern following to the priority.
When unmatched or the input value is structured (dict or list), it will simply return the input value.

Checks the given datetime has occured after the provided relative time.

Convert all chosen values but exceptions.

The script receives a list of fields and a context key base path. For example, Key=Test.result List=username,user and will get all of the values from Test.result.username and Test.result.user.
The Get field of the task must have the value ${.=[]}.

A transformer for if-elif-else logic.

Reverse a list
e.g. ["Mars", "Jupiter", "Saturn"] => ["Saturn", "Jupiter", "Mars"]

This is an example for entire-list transformer - it operates the argument as a list (note the "entirelist" tag).

Checks an object for an empty value and returns a pre-set default value.

Removes items from the given list of values if they match any of the patterns in the provided filters.
If the match_exact argument is 'yes', direct string compare is used, otherwise the comparison is done using regex.

Converts a single string to an array of that string.

Extraction of all matches from a specified regular expression pattern from a provided string. Returns an array of results. This differs from RegexGroups in several ways:

• It returns all matches of the specified pattern, not just specific groups. This is useful for extracting things using a pattern where the content of the source string is indeterminate, such as extracting all email addresses.
• Some "convenience" arguments have been added to enhance usability: multi-line, ignore_case, period_matches_newline
• Added a new argument, "error_if_no_match". The script will not ordinarily throw an error if a match is not found but if not using as a transformer within a playbook, it may, in certain limited circumstances, be desirable to throw an error if the expression doesn't match.
• It uses the 'regex' library, which supports more some more advanced regex functionality than the standard 're' library. For more info, see https://pypi.org/project/regex/.

Converts
https:%2F%2Fexample.com
into
https://example.com

This transformer will remove elements of the array that contain an identical combination of values for the keys given.

Takes a date or time input and adds or subtracts a determined amount of time. Returns a string in date or time in ISO Format.

Return all items from the list where their given 'field' attribute is equal to 'equalTo' argument

E.g. !WhereFieldEquals with the following arguments:

• value=[{ "name": "192.1,0.82", "type": "IP" }, { "name": "myFile.txt", "type": "File" }, { "name": "172.0.0.2", "type": "IP" }]
• field='type'
• equalTo='IP'
• getField='name'

Will return all items names where field 'type' equals 'IP' - ['192.1,0.82', '172.0.0.2'].

This transformer will sort an array of dictionary values by keys in ascending or descending order.

Encodes a URL string by replacing special characters in the string using the %xx escape. For example: https://example.com converts to https:%2F%2Fexample.com.

Transformer that returns a filtered list of IPv4 addresses, based on whether they match a comma-separated list of IPv4 ranges. Useful for filtering in internal IP address space.

Returns the last element of an array. If the value passed is not an array, it returns the original value that was passed.

Accepts an array of domains as a block list, and a list of email addresses. The script then filters out any email address whose domain is in the block list. The filtered list will be returned as an array.

Gets specified indexes of a list.

Returns a string concatenated with given a prefix and suffix which supports DT expressions.

Converts UNIX Epoch time stamp to a simplified extended ISO format string. Use it to convert time stamp to Demisto date field

e.g. 1525006939 will return '2018-04-29T13:02:19.000Z'

Checks whether a substring or an array of substrings is within a string array(each item will be checked). Supports single strings as well. For example, for substrings ['a','b','c'] in a string 'a' the script will return true.

Cut a string by delimiter and return specific fields.

Example

input: "A-B-C-D-E"
delimiter: "-"
fields: "1,5"

return: "A-E".

Performs a JMESPath search on an input JSON format, when using a transformer.

Returns the first element of an array. If the value passed is not an array, it returns the original value that was passed.

Returns the product of two lists, joined by a separator, as a list of strings.

Extraction of elements which are contained in all the subgroups of the match to the pattern.
For example, extracting from the string "The quick brown fox" the object {"article":"The","noun":quick"}
(See arguments descriptions for more details).

Whether value is within a date range.

Check if number of availble addresses in IPv4 CIDR is lower than given number.

Determines whether an IPv4 or IPv6 address is contained in at least one of the comma-delimited CIDR ranges. Multiple IPv4/IPv6 addresses can be passed comma-delimited and each will be tested. A mix of IPv4 and IPv6 addresses will always return false.

checks if left side is in range of right side (from,to anotation)
e.g. - InRange left=4right=1,8 will return true.

Return the string encoded with JSON from the whole array

Accepts a json object and returns a markdown.

Append item(s) to the end of the list if they are not empty.

Adds zeros (0) to the beginning of the string, until the string reaches the specified length.

Converts a custom-formatted timestamp to UNIX epoch time. Use it to convert custom time stamps to a XSOAR date field. If you pass formatter argument, we will use it to transform. If not, we will use dateparser.parse for transforming. For more info, see: https://docs.python.org/3.7/library/datetime.html#strftime-and-strptime-behavior

Converts string to array.
For example: http://example.com/?score:1,4,time:55 will be transformed to ["http://example.com/?score:1,4,time:55"].

A filter that receives a single IPv4 address string as an input and determines whether it is in the private RFC-1918 address space (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16). For more information, see https://en.wikipedia.org/wiki/Private_network

Format patterns matched with regex. If the regex does not match any pattern, the original value is returned.

Example 1:
value: user=john
regex: user=(.*)
output_format: name=\1
-> output value: name=john

Example 2:
value: xxx=yyy
regex: user=(.*)
output_format: name=\1
-> output value: xxx=yyy

Removed selected fields from the JSON object.

Checks whether an IPv4 or IPv6 address is not contained in one or more comma-delimited CIDR ranges.

Convert object keys to match table keys.
Use when mapping object/collection to table (grid) field.
(Array of objects/collections is also supported).
Example:
Input: { "Engine": "val1", "Max Results": 13892378, "Key_With^Special (characters)": true }
Output: { "engine": "val1", "maxresults": 13892378, "keywithspecialcharacters": true }

Extract a string from an existing string.

This script converts an input value into another value using two lists. The input value or range is searched in the first list (map_from).
If it exists, the value at the same index from the second list (map_to) is returned. If there is no match, the original value is returned.
This script supports mapping from either ranges of float numbers or text strings.

Example 1:

map_from = "1,2,3,4"
map_to = "4,3,2,1"
value = 3

Output is "2"

Example 2:

map_from = "1-3,4"
map_to = "5,1"
value = 3

Output is "5".

Find tables inside HTML and extract the contents into objects using the following logic:

• If table has 2 columns and has no header row, treat the first column as key and second as value and create a table of key/value
• If table has a header row, create a table of objects where attribute names are the headers
• If table does not have a header row, create table of objects where attribute names are cell1, cell2, cell3…

This transformer will create a list of dictionary by aggregating elements from two arrays.
The one is given by value (with array1_key), another is given by array2 (with array2_key).

This script converts the input value into another value using two lists. The input value is searched in the first list (input_values).
If it exists, the value from the second list (mapped_values) at the same index is retutrned. If there is no match, the original value is returned.
If the original input is a dictionary, then the script will look for a "stringified" version of the key/:/value pair in the input_values and then map the result in the output_values into the original "value".

Example 1:

input_values = "1,2,3,4"
mapper_values = "4,3,2,1"
value = 3

Output would be "2"

Example 2:

input_values ="firstkey: datahere,secondkey: datathere"
mapper_values = "datathere,datahere"
value(dict)= {
"firstkey": "datahere"
}

Output would be:
{
"firstkey": "datathere"
}

The reason for matching the key AND value pair in a dictionary is to allow the mappig of values that have a specific key name. In most cases, dictionaries will continan key-value pairs in which the values are the same. You might want to change the value of KeyA, but not the value of KeyB. This method gives control over which key is changed.

When the input is a dict, str , int, or list, the output is ALWAYS returned as a string.

Each entry in an array is merged into the existing array if the keyed-value matches.

Return the single element in case the array has only 1 element in it, otherwise return the whole array.

Returns all elements from the left side that have a substring that is equal to an element from the right side. Note: This filter is case-insensitive.
E.g -AnyMatch left=baby right=A will return baby. For more examples see the filter's Readme.

Checks whether a given CIDR prefix is bigger than the defined maximum prefix.