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Basic Information
Timestamp: 2025-12-05 15:52:13
URL: https://localhost:3001/interstellar-app/interstellar
Severity: medium
Analysis Type: agentic_rag
Tokens Used: 4156
Product: lakehouse
Owner ID: [email protected]
User Email: [email protected]
Organization ID: 0000-0000-0000-0000
Created By: [email protected]
Read Status: Read
Read At: 2025-12-05 16:14:03
Analysis Context
RAG Queries: 25 documentation searches
Iterations: 4 agentic loops
Messages: 124 conversation messages
Screenshots: 2 images analyzed
RAG Documentation Queries (25)
These are the documentation searches the LLM made to understand your dashboard
Transparency: The LLM analyzed your screenshots and then queried the documentation below to understand what it was seeing. The observations are based on BOTH the screenshots AND these documentation results.
Query 1 IBM Interstellar dashboard overview main components
Tool: search_documentation
Query 2 IBM Concert vulnerability mitigation CVE security response
Tool: search_documentation
Query 3 analyzing page side panel error message
Tool: search_documentation
Query 4 1 error notification red banner troubleshooting
Tool: search_documentation
Query 5 most vulnerable applications chart severity levels
Tool: search_documentation
Query 6 recommended mitigation widget Apache Commons RCE
Tool: search_documentation
Query 7 15 34% vulnerabilities metric normal threshold
Tool: search_documentation
Query 8 software composition vulnerabilities compliance repositories
Tool: search_documentation
Query 9 lakehouse dashboard security vulnerabilities
Tool: search_documentation
Query 10 lakehouse error messages troubleshooting
Tool: search_documentation
Query 11 lakehouse vulnerability scanning applications
Tool: search_documentation
Query 12 lakehouse mitigation recommendations
Tool: search_documentation
Query 13 lakehouse compliance monitoring
Tool: search_documentation
Query 14 lakehouse side panel analyzing page
Tool: search_documentation
Query 15 dashboard overview features
Tool: search_documentation
Query 16 error notification banner
Tool: search_documentation
Query 17 vulnerability management
Tool: search_documentation
Query 18 security scanning
Tool: search_documentation
Query 19 application security monitoring
Tool: search_documentation
Query 20 CVE mitigation
Tool: search_documentation
Query 21 how to resolve errors
Tool: search_documentation
Query 22 how to fix vulnerabilities
Tool: search_documentation
Query 23 navigation menu settings configuration
Tool: search_documentation
Query 24 security best practices
Tool: search_documentation
Query 25 troubleshooting guide
Tool: search_documentation
Note: The "395 failed tests" or other specific numbers were likely seen in the screenshots you provided, then the LLM queried documentation (above) to understand what those numbers mean and how to fix them.
Screenshots (2)
Screenshot 1
Screenshot 1
Screenshot 2
Screenshot 2
Insights (4)
Each insight contains a correlated observation and recommendation

Observation
system_error high confidence

Critical error notification displayed at top of dashboard indicating system malfunction

A red error banner is prominently displayed at the top of the dashboard showing '1 error' notification. This indicates an active system issue that is preventing normal operation. The error appears alongside an 'Analyzing...' side panel that seems stuck in a processing state, suggesting a failure in the analysis or data processing pipeline. This could be blocking critical security vulnerability assessments and mitigation recommendations from being generated or updated.

Reference: N/A
Recommendation
investigate 🔧 Investigate Error Details

Immediately investigate the system error by clicking on the red '1 error' notification banner at the top of the dashboard to view detailed error messages and stack traces. Document the specific error code and message displayed. Check the browser console (F12 → Console tab) for JavaScript errors or failed API calls. Verify network connectivity and authentication status by refreshing the page (Ctrl+F5 or Cmd+Shift+R for hard refresh). If the error persists, check system logs for backend service failures. Clear browser cache and cookies, then re-authenticate. Contact system administrators if the error indicates database connectivity issues, service outages, or authentication failures. Monitor the error banner after each action to confirm resolution.

📍 Navigation Steps:

Click error notification banner → Review error details → Check browser console (F12)

🔗 URL Hint: N/A
Reference: N/A - Documentation not available

Observation
security_pattern high confidence

High percentage of vulnerabilities detected across monitored applications (34% vulnerability rate)

The dashboard displays '15 (34%)' vulnerabilities, indicating that over one-third of scanned components or applications contain security vulnerabilities. This is a significantly high vulnerability rate that suggests either inadequate patch management processes, delayed security updates, or a large attack surface. The 'Most vulnerable applications' widget shows multiple applications with varying severity levels (critical, high, medium, low), with some applications having multiple critical vulnerabilities that require immediate attention.

Reference: N/A
Recommendation
fix 🔧 Remediate Vulnerabilities

Establish an immediate vulnerability remediation program prioritizing by severity. Click on the 'Most vulnerable applications' widget to access detailed vulnerability reports for each application. For each application listed, review the specific CVEs identified and their CVSS scores. Create a remediation plan: (1) Address all CRITICAL vulnerabilities within 24-48 hours, (2) Remediate HIGH severity issues within 7 days, (3) Schedule MEDIUM vulnerabilities for next maintenance window, (4) Plan LOW severity fixes for regular update cycles. Click on individual applications to view affected components and available patches. Coordinate with development teams to apply security updates, upgrade vulnerable libraries, or implement compensating controls. Re-scan applications after remediation to verify vulnerability closure and track the overall vulnerability rate trending downward.

📍 Navigation Steps:

Click 'Most vulnerable applications' widget → Select application → Review CVEs → Apply patches

🔗 URL Hint: /vulnerabilities or /applications
Reference: N/A - Documentation not available

Observation
security_vulnerability high confidence

Critical Apache Commons RCE vulnerability (CVE-2022-42889) identified requiring immediate mitigation

The 'Recommended mitigation' section highlights a critical Remote Code Execution (RCE) vulnerability in Apache Commons Text (CVE-2022-42889), also known as 'Text4Shell'. This is a high-severity vulnerability that allows attackers to execute arbitrary code remotely. The dashboard shows this as a priority mitigation item from IBM Concert, indicating it affects monitored applications and poses an immediate security risk. RCE vulnerabilities are among the most dangerous as they can lead to complete system compromise, data breaches, and lateral movement within the network.

Reference: N/A
Recommendation
fix 🔧 Apply Critical Patch

Take immediate action on CVE-2022-42889 (Text4Shell). Click on the 'Recommended mitigation' widget to view affected applications and components. Identify all applications using Apache Commons Text versions 1.5 through 1.9. Upgrade Apache Commons Text to version 1.10.0 or later immediately, as this version contains the security patch. If immediate upgrade is not possible, implement compensating controls: disable script execution, restrict network access to affected applications, and enable enhanced monitoring for exploitation attempts. Click through to view the full mitigation guidance from IBM Concert for specific remediation steps. Verify the fix by re-scanning affected applications. Document all remediation actions taken and notify security team of completion. Monitor for any indicators of compromise that may have occurred before patching.

📍 Navigation Steps:

Click 'Recommended mitigation' widget → View CVE-2022-42889 details → Identify affected apps → Apply patch

🔗 URL Hint: /mitigation or /cve-details
Reference: N/A - Documentation not available

Observation
performance_issue medium confidence

Side panel stuck in 'Analyzing...' state suggesting incomplete or failed data processing

The right-side panel displays an 'Analyzing...' message with a loading indicator, suggesting that a background process is either stuck, taking an abnormally long time to complete, or has failed silently. This could indicate issues with data collection, vulnerability scanning processes, or integration with backend security analysis services. The persistent analyzing state may prevent users from accessing detailed vulnerability information, remediation guidance, or completing security assessments, thereby hindering timely security response activities.

Reference: N/A
Recommendation
fix 🔧 Reset Analysis Process

Resolve the stuck analysis process by first attempting to close and reopen the side panel using the X or close button. If the panel remains stuck, refresh the entire dashboard page (F5). Check if the analysis process has a timeout setting that may need adjustment. Navigate to any settings or preferences menu to verify that background analysis services are properly configured and running. If the issue persists, check the browser's network tab (F12 → Network) to identify any failed API calls or long-running requests that may be causing the hang. Cancel any long-running requests and retry the analysis. If this is a recurring issue, consider increasing timeout thresholds for analysis operations or investigating backend service performance. Clear the analyzing state by navigating away from the current view and returning, which may reset the panel state.

📍 Navigation Steps:

Close side panel → Refresh page (F5) → Check Network tab (F12) → Retry analysis

🔗 URL Hint: N/A
Reference: N/A - Documentation not available
LLM Call Analysis
Complete transparency into all LLM interactions during analysis
LLM Call Tracking: Below you see every LLM interaction that occurred during the analysis, including timing, token usage, and responses.
Total Calls

7

Total Tokens

4156

Avg Latency

10945.46ms

Est. Cost

$0.0374

Total Time

Calculating...

Phase: iteration_0
Iteration: 0
Timestamp: 2025-12-05T15:51:03.897670
Latency: 7067.68ms
Tokens: 19 in + 19 out
Total: 38 tokens
Response Summary:
I'll analyze these dashboard screenshots by first identifying the key components and then searching the documentation to understand what I'm looking at.

Phase: iteration_1
Iteration: 1
Timestamp: 2025-12-05T15:51:08.405761
Latency: 4495.79ms
Tokens: 121 in + 121 out
Total: 242 tokens
Response Summary:

                        

Phase: iteration_2
Iteration: 2
Timestamp: 2025-12-05T15:51:14.429505
Latency: 6011.34ms
Tokens: 109 in + 109 out
Total: 218 tokens
Response Summary:

                        

Phase: iteration_3
Iteration: 3
Timestamp: 2025-12-05T15:51:18.679524
Latency: 4233.34ms
Tokens: 93 in + 93 out
Total: 186 tokens
Response Summary:

                        

Phase: build_observations
Iteration: 4
Timestamp: 2025-12-05T15:51:34.686505
Latency: 15998.38ms
Tokens: 448 in + 448 out
Total: 896 tokens
Response Summary:
```json
{
  "observations": [
    {
      "description": "Critical error notification displayed at top of dashboard indicating system malfunction",
      "summary": "A red error banner is prominently displayed at the top of the dashboard showing '1 error' notification. This indicates an active system issue that is preventing normal operation. The error appears alongside an 'Analyzing...' side panel that seems stuck in a processing state, suggesting a failure in the analysis or data processing pi...

Phase: finalize_recommendations
Iteration: 4
Timestamp: 2025-12-05T15:51:41.476150
Latency: 6783.31ms
Tokens: 14 in + 14 out
Total: 28 tokens
Response Summary:
I need to search for more specific documentation about resolving these issues. Let me query for actionable procedures.

Phase: finalize_recommendations_after_tools
Iteration: 4
Timestamp: 2025-12-05T15:52:13.508052
Latency: 32028.38ms
Tokens: 1274 in + 1274 out
Total: 2548 tokens
Response Summary:
{
  "insights": [
    {
      "title": "Active System Error Blocking Dashboard Functionality",
      "observation": {
        "description": "Critical error notification displayed at top of dashboard indicating system malfunction",
        "summary": "A red error banner is prominently displayed at the top of the dashboard showing '1 error' notification. This indicates an active system issue that is preventing normal operation. The error appears alongside an 'Analyzing...' side panel that seems s...
Expert Assessment
Primary Concern

The combination of a critical system error, elevated vulnerability rate (34%), and a critical RCE vulnerability (CVE-2022-42889 Text4Shell) creates an urgent security and operational risk. The system error may be preventing timely vulnerability detection and remediation, while the Text4Shell vulnerability poses immediate risk of remote code execution and complete system compromise.

Business Impact

The current state exposes the organization to significant risks: potential data breaches through RCE exploitation, compliance violations due to unpatched critical vulnerabilities, operational disruptions from system errors blocking security assessments, and reputational damage if vulnerabilities are exploited. The 34% vulnerability rate indicates systemic patch management deficiencies that could lead to regulatory penalties and loss of customer trust.

Recommended Next Steps

Priority 1: Investigate and resolve the system error immediately to restore full dashboard functionality. Priority 2: Apply the Text4Shell (CVE-2022-42889) patch within 24 hours to all affected applications. Priority 3: Launch a comprehensive vulnerability remediation program targeting the 34% vulnerability rate, starting with all critical and high-severity issues. Priority 4: Resolve the stuck analysis process to ensure continuous monitoring capability.

Confidence Level
high
System Prompt & Instructions
The initial instructions given to the LLM about its role and how to analyze the dashboard
You are an expert system analyst.



## YOUR TASK
You are analyzing dashboard screenshot(s) from lakehouse. Your goal is to:

1. UNDERSTAND THE DASHBOARD
   - Use the search_documentation tool to understand what components are visible
   - Query for information about metrics, features, and normal values
   - Build a complete picture before making observations

2. MAKE OBSERVATIONS
   - Identify security issues, performance problems, anomalies, configuration gaps
   - Each observation should be grounded in documentation when possible
   - Include severity and confidence levels

3. PROVIDE RECOMMENDATIONS WITH ACTIONABLE INSTRUCTIONS
   - For EACH observation, you MUST provide actionable recommendations or specific resolution steps
   - Query documentation EXTENSIVELY to find specific procedures, navigation paths, and resolution steps
   - Your recommendations MUST be recipe-like instructions that can be executed within the product
   - Include EXACT navigation paths like "Navigate to Menu → Submenu → Feature → Action"
   - Include specific UI elements, buttons, fields, and configuration settings
   - AVOID vague suggestions like "review the configuration" - instead specify EXACTLY what to configure and how

## DASHBOARD CONTEXT
- URL: https://localhost:3001/interstellar-app/interstellar
- Service: Unknown
- Metrics: {}

## INSTRUCTIONS
- Start by examining the screenshot(s) and identifying key components
- Use search_documentation tool to learn about what you see
- IMPORTANT: You can call multiple tools at once! If you have multiple questions, make multiple tool calls in parallel instead of one at a time
- Query multiple times with specific questions
- For each issue you identify, query documentation to find SPECIFIC resolution procedures
- DO NOT write a final analysis or summary during this phase - I will explicitly ask you to build observations later
- Keep gathering information via tool calls until you have comprehensive context

## PERFORMANCE TIP
To reduce latency, when you identify multiple areas to investigate (e.g., compliance status, vulnerability scans, asset inventory), 
make multiple search_documentation calls simultaneously rather than waiting for each result before asking the next question.

## IMPORTANT
During the initial information gathering phase, ONLY make tool calls. Do NOT write lengthy analysis responses.
I will explicitly prompt you when it's time to generate observations and recommendations.

Ready to begin analysis?