Kernel Privilege Transition and Boundary Verification Dataset

#Code path tracing #Code verification #Root cause analysis #Permission boundary assessment #Kernel security research #Local privilege escalation analysis #Permission boundary review #Security code auditing

6840
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-02

AI Analysis & Value Prop

This dataset focuses on kernel source code samples involving credential changes, capability updates, namespace transitions, and privileged system calls. Each sample is organized around a permission-boundary question or verification objective, with relevant code paths, kernel symbols, findings, and root-cause analysis. It supports coding agent training and research into code-path tracing, permission-boundary verification, and root-cause analysis of local privilege escalation flaws.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
code_path	array	The ordered functions or code locations traced to evaluate the privilege transition.
source_code	string	The kernel source code sample to inspect for privilege transition behavior.
relevant_symbols	array	Kernel functions, structures, flags, or constants relevant to the analysis.
security_boundary	string	The permission boundary or security invariant relevant to the verification objective.
root_cause_analysis	string	The code-level explanation of the defect or the reason the expected permission boundary is preserved.
verification_passed	boolean	Whether the source-code analysis confirms the stated verification objective.
verification_findings	array	Evidence-based findings that address the verification objective.
verification_objective	string	The permission-boundary question or verification target associated with the source sample.
privilege_transition_type	string	The kind of privilege-related transition analyzed, such as a credential change, capability update, namespace transition, or privileged system call.

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 contain?: It contains kernel source samples involving credential changes, capabilities, namespaces, and privileged system calls. Entries also provide verification objectives, relevant code paths and symbols, permission-boundary details, findings, and root-cause analysis.

Which research and training tasks does it support?: It supports coding agent training and kernel security work such as code-path tracing, permission-boundary verification, local privilege escalation analysis, and root-cause investigation. Validate code behavior against the relevant kernel version and context.

How can I obtain the dataset?: Check the dataset listing or the provider's stated delivery channel for available formats, download instructions, and any application requirements. The supplied description does not specify a delivery method.

What are the licensing terms?: Specific licensing terms are not provided in the available information. Review the listing's license details or contact the provider to confirm permitted use, copying, and redistribution.

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Cite this Work

@dataset{Mobiusi2026,
  title={Kernel Privilege Transition and Boundary Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/c2d9671271c7ae75e4968a4e2d1b2b70?dataset_scene_id=10},
  urldate={2026-10-22},
  keywords={kernel privilege transition,kernel security dataset,local privilege escalation,permission boundary verification,kernel source code analysis,coding agent training,vulnerability root cause analysis,privileged system calls},
  version={1.0}
}

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