Botnet Security Advisory Publisher Identity and Impersonation Verification Corpus
#Source Verification #Text Classification #Fact Checking #Reliability Assessment #Cybersecurity Intelligence Verification #Security Advisory Review #Publisher Identity Verification #Threat Information Governance
- 3000
- 0.1GB
- piece
- CATL
MOBIUSI INC
Updated:2026-11-03
AI Analysis & Value Prop
00This corpus contains webpage text, titles, bylines, and publisher claims from pages purporting to issue botnet alerts or incident response advisories, paired with reference webpages from the claimed organizations. Each sample assesses the relationship between a candidate page and its claimed publisher, with labels for authentic publication, repost, impersonation, or inconclusive attribution. It supports training and evaluating models for publisher identity verification and source reliability assessment, as well as cybersecurity advisory review and threat intelligence workflows.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| confidence | number | The model's confidence in the authenticity assessment, expressed from 0 to 1. |
| candidate_page | object | The submitted advisory page and its associated publisher claims. |
| authenticity_label | string | The assessment of the candidate page's relationship to its claimed publisher. |
| supporting_evidence | array | Relevant observations from the candidate page or reference publisher pages that support the assessment. |
| assessment_rationale | string | A concise explanation of the evidence supporting the authenticity label. |
| reference_publisher_pages | array | Reference webpages associated with the organization claimed as the candidate page publisher. |
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 data does the corpus contain?
- Each sample includes a candidate advisory page and its publisher claims, reference pages from the claimed organization, an authenticity label, assessment rationale, confidence score, and supporting evidence.
- Which authenticity labels are included?
- Labels distinguish authentic publication, repost, impersonation, and inconclusive attribution, helping models learn whether a page can be linked to its claimed publisher.
- Which tasks is the corpus suitable for?
- It can support source verification, web text classification, fact checking, and reliability assessment, as well as security advisory review and threat intelligence workflows.
- How can the corpus be obtained and used?
- Available formats, sample volume, delivery method, and license terms should be confirmed on the supplier's product page or in its license agreement. Use of webpage content should comply with applicable copyright, privacy, and website terms.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Botnet Security Advisory Publisher Identity and Impersonation Verification Corpus},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/3278863fd5aae2dd3782c0abd1f64992},
urldate={2026-11-02},
keywords={botnet advisories,cybersecurity corpus,source verification dataset,publisher identity verification,security advisory impersonation detection,cyber threat intelligence,web text classification,information reliability assessment},
version={1.0}
}Using this in research? Please cite us.
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