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make internal links root-relative and fix dead self-links
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docs/content/asset_modelling/engagements_tests/PRO__tests.md

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#### Connectors
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[**Connectors**](/connections/upstream/about_connectors) can be used to automatically ingest and organize vulnerability data from external tools via API calls. Once configured, a Connector fetches scan results, parses the data, and creates new Tests or updates existing Tests depending on its configuration. Findings are then attached to the corresponding Test.
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[**Connectors**](/connections/upstream/about/) can be used to automatically ingest and organize vulnerability data from external tools via API calls. Once configured, a Connector fetches scan results, parses the data, and creates new Tests or updates existing Tests depending on its configuration. Findings are then attached to the corresponding Test.
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#### Test Creation Mechanism Comparison
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docs/content/get_started/about/about_defectdojo.md

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There are a few supported ways to install DefectDojo’s Open-Source edition ([available on Github](https://github.com/DefectDojo/django-DefectDojo)):
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[Docker Compose](https://github.com/DefectDojo/django-DefectDojo/blob/master/readme-docs/DOCKER.md) is the easiest method to install the core program and services required to run DefectDojo.
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Our [Architecture](https://docs.defectdojo.com/get_started/open_source/architecture/) guide gives you an overview of each service and component used by DefectDojo.
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[Running In Production](https://docs.defectdojo.com/get_started/open_source/running-in-production/) lists system requirements, performance tweaks and maintenance processes for running DefectDojo on a production server (with Docker Compose).
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Our [Architecture](/get_started/open_source/architecture/) guide gives you an overview of each service and component used by DefectDojo.
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[Running In Production](/get_started/open_source/running-in-production/) lists system requirements, performance tweaks and maintenance processes for running DefectDojo on a production server (with Docker Compose).
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Kubernetes is not fully supported at the Open-Source level, but this guide can be referenced and used as a starting point to integrate DefectDojo into Kubernetes architecture.
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docs/content/get_started/about/faq.md

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Here is an analogy; if you were an accountant, you could use Import to track a single receipt, while you would use Reimport to track a continuous ledger of expenses
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Both methods also use Deduplication differently: while two discrete Imported Tests in the same Product will identify and label duplicate Findings separately, Reimport will not create any Findings it identifies as [duplicates](https://docs.defectdojo.com/en/working_with_findings/finding_deduplication/avoiding_duplicates_via_reimport/) within the Test.
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Both methods also use Deduplication differently: while two discrete Imported Tests in the same Product will identify and label duplicate Findings separately, Reimport will not create any Findings it identifies as [duplicates](/en/working_with_findings/finding_deduplication/avoiding_duplicates_via_reimport/) within the Test.
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Generally speaking, if a point-in-time report is what you need, Import is the best method to use. If you are continuously running and ingesting reports from a tool, Reimport is the better method for keeping things organized.
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docs/content/get_started/about/ui_pro_vs_os.md

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- Modern and sleek design using Vue.js.
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- Optimized data delivery and load times, especially for large datasets.
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- Access to new Pro features, including [Upstream Connections (API Connectors)](/connections/upstream/about/), [Universal Importer](/import_data/pro/specialized_import/external_tools/), and [Pro Metrics](https://docs.defectdojo.com/metrics_reports/pro_metrics/pro__overview/) views.
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- Access to new Pro features, including [Upstream Connections (API Connectors)](/connections/upstream/about/), [Universal Importer](/import_data/pro/specialized_import/external_tools/), and [Pro Metrics](/metrics_reports/pro_metrics/pro__overview/) views.
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- Improved UI workflows: better filtering, dashboards, and navigation.
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## Switching To The Pro UI

docs/content/get_started/contributing/how-to-write-a-parser.md

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## Deduplication algorithm
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By default a new parser uses the 'legacy' deduplication algorithm documented at https://docs.defectdojo.com/open_source/archived_docs/usage/features/#deduplication
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By default a new parser uses the 'legacy' deduplication algorithm documented in [About Deduplication](/triage_findings/finding_deduplication/about_deduplication/)
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Please use a pre-defined deduplication algorithm where applicable. When using the `unique_id_from_tool` or `vuln_id_from_tool` fields in the hash code configuration, it's important that these are uqniue for the finding and constant over time across subsequent scans. If this is not the case, the values can still be useful to set on the finding model without using them for deduplication.
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The values must be coming from the report directly and must not be something that is calculated by the parser internally.

docs/content/help/contact_sales.md

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## Step 6: Review and Submit your Request
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We'll prompt you to look over your request one more time. Once submitted, only Firewall rules can be changed by your team without assistance from Support. To contact Support, please email [support@defectdojo.com](mailto:support@defectdojo.com) or follow the instructions in [this article](https://docs.defectdojo.com/en/about_defectdojo/contact_defectdojo_support/).
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We'll prompt you to look over your request one more time. Once submitted, only Firewall rules can be changed by your team without assistance from Support. To contact Support, please email [support@defectdojo.com](mailto:support@defectdojo.com) or follow the instructions in [this article](/en/about_defectdojo/contact_defectdojo_support/).
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![image](images/request_a_trial_6.png)
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docs/content/releases/os_upgrading/2.56.4.md

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## JFrog Xray API Summary Artifact parser deduplication
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Deduplication of JFrog Xray API Summary Artifact findings is improved for newly imported findings.
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To apply this on existing data, you need to recompute the hashes for this specific parser [see docs](https://docs.defectdojo.com/triage_findings/finding_deduplication/os__deduplication_tuning/#after-changing-deduplication-settings).
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To apply this on existing data, you need to recompute the hashes for this specific parser [see docs](/triage_findings/finding_deduplication/os__deduplication_tuning/#after-changing-deduplication-settings).

docs/content/supported_tools/parsers/file/acunetix.md

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Sample Acunetix Scanner scans can be found [here](https://github.com/DefectDojo/django-DefectDojo/tree/master/unittests/scans/acunetix).
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### Default Deduplication Hashcode Fields
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By default, DefectDojo identifies duplicate Findings using these [hashcode fields](https://docs.defectdojo.com/en/working_with_findings/finding_deduplication/about_deduplication/):
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By default, DefectDojo identifies duplicate Findings using these [hashcode fields](/en/working_with_findings/finding_deduplication/about_deduplication/):
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- title
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docs/content/supported_tools/parsers/file/anchore_engine.md

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Sample Anchore-Engine scans can be found [here](https://github.com/DefectDojo/django-DefectDojo/tree/master/unittests/scans/anchore_engine)
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### Default Deduplication Hashcode Fields
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By default, DefectDojo identifies duplicate Findings using these [hashcode fields](https://docs.defectdojo.com/en/working_with_findings/finding_deduplication/about_deduplication/):
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By default, DefectDojo identifies duplicate Findings using these [hashcode fields](/en/working_with_findings/finding_deduplication/about_deduplication/):
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- title
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- severity

docs/content/supported_tools/parsers/file/anchore_enterprise.md

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Sample Anchore Enterprise Policy Check scans can be found [here](https://github.com/DefectDojo/django-DefectDojo/tree/master/unittests/scans/anchore_enterprise).
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### Default Deduplication Hashcode Fields
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By default, DefectDojo identifies duplicate Findings using these [hashcode fields](https://docs.defectdojo.com/en/working_with_findings/finding_deduplication/about_deduplication/):
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By default, DefectDojo identifies duplicate Findings using these [hashcode fields](/en/working_with_findings/finding_deduplication/about_deduplication/):
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