Skip to main content

A small python script that enriches Vulnerability STIX Objects with other intel

Project description

Arango CVE Processor

codecov

Before you get started

Arango CVE Processor is built into Vulmatch which also handles the download of CVE objects (what you need for ACVEP to work). As such, Vulmatch is probably better suited to what you're looking for.

tl;dr

A small script that enriches CVEs to other sources with all data stored as STIX 2.1 objects.

arango_cve_processor

Watch the demo.

Overview

Here at DOGESEC we work with a lot of CVE data across our products. cve2stix generates core STIX 2.1 Vulnerability objects from CVE data.

However, we have lots of other sources (EPSS, KEV, ATT&CK...) that we want to enrich this data with.

We built Arango CVE Processor to handle the generation and maintenance of these enrichments.

In short, Arango CVE Processor is a script that;

  1. reads the ingested CVE STIX data in ArangoDB
  2. creates STIX objects to represent the relationships between CVE and other datasets

Usage

Install the script

# clone the latest code
git clone https://github.com/muchdogesec/arango_cve_processor
# create a venv
cd arango_cve_processor
python3 -m venv arango_cve_processor-venv
source arango_cve_processor-venv/bin/activate
# install requirements
pip3 install -r requirements.txt

Configuration options

Arango CVE Processor has various settings that are defined in an .env file.

To create a template for the file:

cp .env.example .env

To see more information about how to set the variables, and what they do, read the .env.markdown file.

Run

python3 arango_cve_processor.py \
    MODE \
    --
    MODE OPTIONS

The following modes are available;

  • cve-cwe
    • links vulnerability objects to CWE objects
  • cve-capec (relies on cve-cwe run first)
    • links vulnerability objects to CAPEC objects
  • cve-attack (relies on cve-capec run first)
    • links vulnerability objects to ATT&CK objects
  • cve-epss
    • creates/updates report objects linked to CVE representing one of more EPSS score for the time range run
  • cve-kev (relies on cve-cwe run first)
    • creates/updates report objects linked to CVE representing CISA KEV data
  • cve-vulncheck-kev (relies on cve-cwe run first)
    • creates/updates report objects linked to CVE representing Vulncheck KEV data
  • cpematch
    • creates/updates grouping objects (and linked software objects) representing CPE Matches tied to CPEs.

All modes have varying options, however, the following are available in all modes

  • --database (required): the arangoDB database name where the objects you want to link are found. It must contain the collections nvd_cve_vertex_collection and nvd_cve_edge_collection
  • --ignore_embedded_relationships (optional, boolean). Default is false. if true passed, this will stop any embedded relationships from being generated. This is a stix2arango feature where STIX SROs will also be created for _ref and _refs properties inside each object (e.g. if _ref property = identity--1234 and SRO between the object with the _ref property and identity--1234 will be created). See stix2arango docs for more detail if required, essentially this a wrapper for the same --ignore_embedded_relationships setting implemented by stix2arango
  • --ignore_embedded_relationships_sro (optional): boolean, if true passed, will stop any embedded relationships from being generated from SRO objects (type = relationship). Default is false
  • --ignore_embedded_relationships_smo (optional): boolean, if true passed, will stop any embedded relationships from being generated from SMO objects (type = marking-definition, extension-definition, language-content). Default is false

To see the options available for each mode you can run with the help flag (-h), e.g.,

python3 arango_cve_processor.py \
  cve-epss -h
python3 arango_cve_processor.py \
  cve-cwe -h

Examples

Process CVE -> CWE relationships for all CVEs modified after 2024-02-01

python3 arango_cve_processor.py \
  cve-cwe \
  --database vulmatch_database \
  --modified_min 2024-02-01 \
  --ignore_embedded_relationships true \
  --ignore_embedded_relationships_sro true \
  --ignore_embedded_relationships_smo true

Get all EPSS scores for CVEs for each day in 2024

python3 arango_cve_processor.py \
  cve-epss \
  --database vulmatch_database \
  --start_date 2024-01-01 \
  --end_date 2024-12-31 \
  --ignore_embedded_relationships true \
  --ignore_embedded_relationships_sro true \
  --ignore_embedded_relationships_smo true

Update all CPE Matches modified after 2024-02-01

python3 arango_cve_processor.py \
  cpematch \
  --database vulmatch_database \
  --updated_after 2024-02-01 \
  --ignore_embedded_relationships true \
  --ignore_embedded_relationships_sro true \
  --ignore_embedded_relationships_smo true

Backfilling data

stix2arango contains a set of utility scripts that can be used to backfill all the datasources required for this test.

How it works

If you would like to know how the logic of this script works in detail, please consult the /docs directory.

Useful supporting tools

Support

Minimal support provided via the DOGESEC community.

License

Apache 2.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

arango_cve_processor-1.2.3.tar.gz (504.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

arango_cve_processor-1.2.3-py3-none-any.whl (31.8 kB view details)

Uploaded Python 3

File details

Details for the file arango_cve_processor-1.2.3.tar.gz.

File metadata

  • Download URL: arango_cve_processor-1.2.3.tar.gz
  • Upload date:
  • Size: 504.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for arango_cve_processor-1.2.3.tar.gz
Algorithm Hash digest
SHA256 08a4225608917aa8c292e4733ce433acbdd404b7a71aa7b9249cf2ce3f50ffcf
MD5 f1385c4190dfb917034f7c134e1ab47a
BLAKE2b-256 96b2763a49270f6e4ff273e6e8295e7cdca148ff1051ce7c6989d8dbd44523aa

See more details on using hashes here.

Provenance

The following attestation bundles were made for arango_cve_processor-1.2.3.tar.gz:

Publisher: create-release.yml on muchdogesec/arango_cve_processor

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file arango_cve_processor-1.2.3-py3-none-any.whl.

File metadata

File hashes

Hashes for arango_cve_processor-1.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 aff93e6ca07dfd2a91a2d5e56539551085bfcd5527ed459acc57c5527a343684
MD5 fab92e5b3ee57a7c8e8a071ddf430f11
BLAKE2b-256 3fda7c57ee37e2618d38fd53e043110aa1eeb5b6689a1f0d76d3ac6a1da4491c

See more details on using hashes here.

Provenance

The following attestation bundles were made for arango_cve_processor-1.2.3-py3-none-any.whl:

Publisher: create-release.yml on muchdogesec/arango_cve_processor

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page