Online Troubleshooting and Retrospective for Vulnerability Scanning Services: Conversation Logs and Auditing

Data sources for vulnerability scanning services include vulnerability scanners, asset inventories, CVE databases, and patch bulletins. Update

What the data for this category looks like

Data sources for vulnerability scanning services include vulnerability scanners, asset inventories, CVE databases, and patch bulletins. Update frequency is weekly or monthly. Daily produced documents include scan plans, vulnerability lists, remediation tickets, and rescan reports. Fields across these documents include scan task ID, asset IP/domain name, CVE ID, vulnerability severity, remediation status, rescan result, and more. No unified fixed units apply; fields adjust dynamically based on scan scope and task configuration. Typical users include security operations teams, security service providers, and system administrators. Data links the full lifecycle process of assets and vulnerabilities.

How Vulnerability Scanning Data Characteristics Constrain Logging and Auditing

Multi-source data origins and weekly or monthly update frequencies require logs to link timestamps and task IDs from all sources, to prevent logs from being disconnected from actual scan results. The existence of multiple daily business documents requires the auditing link to aggregate logs and documents by task dimension, to ensure full process traceability during troubleshooting. The most time-consuming asset range confirmation and false positive elimination steps require logging asset filter conditions and false positive marking operations in logs, to facilitate subsequent verification. Severe error consequences require logs to fully record the full link operations of high-severity vulnerability discovery, remediation, and rescan, to meet audit traceability requirements.

How to Configure Settings

Config ItemRecommended PracticeRationale
Log storage periodAt least 3 scan update cycles (weekly/monthly)Matches the weekly or monthly update frequency of the data, supports cross-cycle fault retrospective
Multi-user chat record isolationGroup by chatIdSeparates operation logs from different operators, prevents record confusion
Log detail recording switchEnable the detail parameterFully records operation details such as asset filtering and false positive marking, meets audit traceability requirements
Maximum single log lengthCalibrated via actual testing (800–1200 characters)Adapts to the field lengths of documents such as scan plans and vulnerability lists, avoids truncation of critical information
Response log association configurationBind responseChatItemIdLinks scan results and conversation interactions, facilitates retrospective troubleshooting
Log aggregation dimensionAggregate by scan task IDMatches the task management logic of daily documents, simplifies fault troubleshooting workflows

Three Common Misconfigurations

  • Failure to distinguish chat history records from different users: Logs only display conversation content without user identifiers. Multi-user isolation rules grouped by chatId are not configured, resulting in logs not being linked to operators or task ownership.
  • Missing logs for high-severity vulnerability remediation and rescan steps: Full process traceability is unavailable during troubleshooting. The detail parameter is not enabled, only basic conversation content is recorded, and key operations such as asset filtering and false positive marking are not saved.
  • Insufficient log storage duration: Historical scan data cannot be retrieved during cross-cycle retrospective. The log storage period is set shorter than the data update cycle, and does not match the weekly or monthly update rhythm of the category.

How to Verify Proper Configuration

This verification must be performed on FastGPT v4.17.0.

  • Initiate a test scan task, check if the conversation log links to the corresponding task ID, confirm that the log aggregation dimension configuration is effective.
  • Switch sessions of different operators, check if logs are displayed grouped by chatId, confirm that the multi-user isolation configuration is effective.
  • Trigger asset filtering and false positive marking operations, check if logs include detailed content recorded by the detail parameter, confirm that the detail switch is enabled.
  • Check the log storage settings, confirm that the storage period matches the weekly or monthly frequency of current data updates.

The values provided here are common starting points, and should be evaluated against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.