HTTP Interfaces and External Systems for Cybersecurity Intelligent Due Diligence Reports

Data for cybersecurity intelligent due diligence reports comes from vulnerability scanning tool APIs, threat intelligence platforms, asset mapping

What this category’s data looks like

Data for cybersecurity intelligent due diligence reports comes from vulnerability scanning tool APIs, threat intelligence platforms, asset mapping interfaces, compliance audit logs, and similar sources. Update schedules can be on-demand pulling or daily full synchronization. Some real-time threat events support second-level updates.

The document structure includes asset lists, vulnerability details (including CVE IDs, CVSS scores, impact scopes), threat event timelines, compliance check results, and more. Fields include asset_ip (IPv4/IPv6 format), cve_id (MITRE standard format), cvss_score (floating-point value between 0 and 10), threat_level (low/medium/high/critical enumeration values). The volume of data for a single report varies based on asset scale.

Constraints on HTTP Interfaces and External Systems

Multiple data sources for cybersecurity due diligence reports require HTTP interfaces to support multiple authentication methods. These include API keys, HMAC signatures, OAuth2, and others.

Different update schedules require interfaces to support paginated pulling and incremental synchronization. This avoids excessive data volume in a single request.

Standardized field formats require interface request and response parameters to undergo format validation. This ensures cve_id complies with MITRE standards and cvss_score is a valid floating-point value.

The large data volume of single reports requires external system interfaces to support resumable uploads or chunked uploads. A reasonable batch import threshold must also be configured. This prevents task timeouts or rate limiting by third-party interfaces.

How to set configurations

Configuration ItemRecommended ValueRationale
external_api_auth_typeapi_key + hmac_sha256Most cybersecurity intelligence platforms require signature authentication to secure interface calls
api_request_timeout300 secondsFull asset scan interface response cycles are long, to avoid premature request termination
dataset_batch_upload_size50 items/batchExcessive single batch data volume can trigger third-party interface rate limiting, reducing the impact scope of batch failures
metadata_field_mappingCalibrated via actual testingField naming varies significantly across different security data sources. Manual mapping is required for fields such as cve_id to vulnerability ID, cvss_score to risk score, and similar conversions
collection_create_timeout600 secondsParsing and importing large cybersecurity due diligence reports takes a long time. Extending the timeout threshold avoids task interruptions
api_pagination_modeoffset + limitAdapts to the standard pagination interface format of most cybersecurity tools, improving compatibility

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • When calling the /api/core/dataset/collection/create/localFile interface to upload due diligence reports, metadata fields are empty. This occurs because the metadata_field_mapping parameter is not correctly configured, causing fields returned by the external system to not be mapped to the format required by the knowledge base.
  • HTTP interface calls return the 429 Too Many Requests status code. This occurs because a reasonable dataset_batch_upload_size parameter is not set, and the single request data volume exceeds the third-party interface rate limiting threshold.
  • AI analysis results lack vulnerability detail fields. This occurs because external interface returned field formats are not validated, causing required fields such as cve_id and cvss_score to not be correctly extracted and imported.

How to Confirm Configurations Are Correct

  • Call the target external security interface, return due diligence data in standard format, and verify that the returned fields include required items such as asset_ip, cve_id, and threat_level.
  • Submit a single batch upload task, observe that the interface returns a 200 OK status code, and that task progress updates normally.
  • Enter the FastGPT knowledge base management interface, view the imported due diligence report metadata, and confirm that the mapped fields match the configured values.
  • Initiate an AI analysis request, verify that the returned results include vulnerability information and asset details extracted from the external interface.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.