Mobile Application Penetration Test Finding Triage and Remediation QA Dataset
#Vulnerability Finding Triage #Root Cause Analysis #Impact Assessment #Exploitability Assessment #Remediation Recommendation Generation #Mobile Application Security Auditing #Penetration Test Report Analysis #Vulnerability Remediation Planning #Security Operations
- 6678
- 0.4GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-25
AI Analysis & Value Prop
This dataset provides long-form expert question-and-answer examples based on mobile application penetration test reports, vulnerability evidence, affected components, and conflicting or incomplete findings. It covers finding triage, root cause analysis, impact and exploitability assessment, evidence uncertainty, severity rationale, and remediation recommendations for domain-specific supervised fine-tuning and capability evaluation.
Dataset Insights
Sample Examples
{}
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| task_prompt | string | The original question or instruction requesting finding triage and remediation analysis. |
| case_summary | string | A concise overview of the application context, reported issue, and key facts relevant to the assessment. |
| impact_scope | string | The affected application components, data, users, platforms, or environments, and the likely consequences of exploitation. |
| expert_answer | string | The complete user-facing response integrating triage, root cause, scope, exploitability, evidence limitations, severity, and remediation. |
| finding_triage | string | A normalized interpretation of the finding that reconciles conflicting claims and separates confirmed facts from assumptions. |
| severity_rationale | string | A reasoned severity assessment based on exploitability and impact, avoiding unsupported precision when source information is incomplete. |
| assessment_material | string | The source penetration test report, finding descriptions, vulnerability evidence, and available details about affected components. |
| root_cause_analysis | string | The most likely technical root cause, reasoned from the supplied report and evidence, with material uncertainty noted. |
| evidence_and_uncertainty | string | An assessment of evidence quality and consistency, missing information, and further validation that could resolve material uncertainty. |
| exploitability_assessment | string | The prerequisites, attacker capabilities, access conditions, and evidence-supported limitations relevant to exploiting the issue. |
| remediation_recommendations | string | Prioritized corrective actions addressing the root cause, with practical implementation guidance and verification steps where applicable. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What does the dataset cover?
- Examples focus on mobile application penetration test findings and cover report and evidence analysis, normalized triage, root cause, impact scope, exploitability conditions, evidence limitations, severity rationale, and prioritized remediation.
- Which model capabilities can it support?
- It can support training models to synthesize long-form security materials, handle conflicting or incomplete information, distinguish established facts from assumptions, and produce evidence-based assessments and remediation guidance. It can also support evaluation of related question-answering capabilities.
- How are the examples structured?
- Each example uses a task prompt and assessment material as input, with fields for a case summary, triage, root cause, impact, exploitability, evidence and uncertainty, severity, remediation recommendations, and a complete expert answer.
- How can I obtain the dataset and verify its license?
- Check the dataset page or the platform's listed distribution channels for access methods, available formats, and version information. Confirm licensing, commercial-use permissions, and redistribution restrictions in the applicable product page or license agreement.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Mobile Application Penetration Test Finding Triage and Remediation QA Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/62bd7f9d3d85a8b7392d5ec83c31e053},
urldate={2026-10-22},
keywords={mobile application security dataset,penetration testing QA,vulnerability triage data,root cause analysis, mobile app vulnerability remediation,security question answering,impact assessment data,cybersecurity SFT},
version={1.0}
}Using this in research? Please cite us.
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