Upgrade bulk extractor

[HolzmanoLagrene]

Description of the change

Even though the Issue resolved by this pull request (#1263) was initially about the Strings-Job, it came clear, that
bulk-extractor is able to to all desired work. Therefore in accordance with the discussion on the issue, several changes were made to the bulk-extractor-wrapper.

This pull request therefore changes a couple of things regarding the bulk-extractor in turbinia. The following list gives an overview:

• Adding new evidence types: It now supports Directory and CompressedDirectory as well. In both cases the R-Flag is used to scan the evidence recursively.
• Adding a new TASK_CONFIG-Parameter: regex_pattern_files lets you list one or many files that include regular expressions separated by newline. This does not break the possibility to pass other parameters to bulk-extractor using bulk_extractor_args including other regex-pattern-files passed directly to the tool. These are then passed to the bulk-extractor using the F-Flag and results are listed in find.txt
• Writing a Report-File: The existing function generate_summary_report already generates a report. This report is now written to file in the output-directory.

An example recipe e.g. would be a yaml file with the following content:

globals:
  jobs_allowlist:
   - BulkExtractorJob

plaso_base:
  task: "BulkExtractorTask"
  regex_pattern_files: [
  "/evidence/regex_pattern_file"
  ]

An example file in path /evidence/regex_pattern_file would look e.g. like this:

[a-fA-F0-9]{64}
\b(?:\d{1,3}\.){3}\d{1,3}\b

Applicable issues

• Update Strings Job/Task to process Directory evidence types #1263

Additional information

Apart from extending the functionality of the bulk-extractor this pull request includes code that creates an
enhanced report. This includes writing the report to file at the end and displaying the hits as table instead of a bulleted list.

Checklist

• All tests were successful.
• Documentation updated.
• Applied Google Python Style Guide

[hacktobeer]

LGTM, small nits. As @aarontp is the official lead for Turbinia I will let him hit the final approval button.

[hacktobeer]

LGTM @aarontp PTAL

[aarontp]

Looks good, just a couple small things. Thanks for the contribution!

[aarontp]

LGTM, thanks!