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Authors

Meet the researcher behind the ZeroDayRAT Intelligence Center and the editorial standards that govern every page.

Analytical AssessmentLast reviewed: 2026-08-31By Daniel Voss, Lead Threat Researcher

Daniel Voss

Daniel Voss is the Lead Threat Researcher at the ZeroDayRAT Intelligence Center. Daniel Voss leads threat intelligence research at the ZeroDayRAT Intelligence Center, specialising in commercial mobile spyware capability analysis, detection methodology and defensive incident response. He has spent over a decade in enterprise security engineering and mobile threat research.

All research on this site is authored or technically reviewed by Daniel Voss. His work focuses on commercial mobile spyware capability analysis, detection methodology and defensive incident response — separating what public evidence establishes from what sellers and operators claim.

Areas of expertise

  • — Mobile threat intelligence
  • — Android and iOS security architecture
  • — Commercial spyware analysis
  • — Incident response and digital forensics
  • — Enterprise mobile defence
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Authorship Standards

Verified Credentials

Daniel Voss's credentials and expertise are listed on this page. We do not invent credentials, certifications or institutional affiliations. Where additional researchers contribute named work in the future, their profiles will appear here with verifiable credentials and a list of published research.

Attribution

Every article displays an author byline and a “reviewed by” field where applicable.

Credentials

Individual author profiles list only verifiable credentials and professional experience.

Review

Technical claims are reviewed against the editorial policy before publication.

Independence

Authors disclose conflicts of interest where they exist.

Accountability

Errors are corrected promptly and transparently per the corrections policy.

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Research Standard

We distinguish independently observed technical evidence from media reporting, vendor claims and analytical assessment. Our objective is to document mobile threats accurately without facilitating unauthorized surveillance. This site publishes no exploit code, payloads or deployment instructions.

Evidence Classification Legend

Observed
Directly observed in independent analysis or testing.
Confirmed
Independently verified by multiple sources with technical evidence.
Reported
Reported by credible security researchers but not fully independently verified.
Advertised / Claimed
Claimed by the seller or operator; not independently verified.
Unconfirmed
Cannot be confirmed or denied based on available public evidence.
Analytical Assessment
Analytical conclusion based on reasoning from available evidence.
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