Risk observations shaped by frontline investigation
We track criminal infrastructure, attack tooling, fraud methods and digital-risk change, turning frontline observations into research that can be searched, cited and used.
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41published items
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Threat economyDigital riskBusiness fraud
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One script, five infant-formula brands named at once. Product-line nicknames instead of brand names, questions instead of claims, and RMB 0.25–0.4 (US$0.04–0.06) per ordinary negative comment. Threat Hunter tracked 613 paid attack tasks in September 2026. What they show is a piece-rate business built to look like genuine customer experience.
As of 29 September 2026, Threat Hunter reviewed 169 public posts and coded 143 transaction amounts. The assessment focuses on attackers obtaining Apple Pay device PANs (DPANs) in bulk and submitting them into card-not-present channels where token scope and cardholder authentication were not enforced.
Reviewed English editionMastercardunauthorized transactions
A single comment can look like ordinary customer feedback. In a task pipeline, it can also be a deliverable: a target post, a required action, proof of completion, then settlement. Threat Hunter monitored 20,000+ related items over roughly one month and identified 1,500+ tasks. Of those, 1,196 were comment tasks; 815 were negative comment tasks — 68.1% of all comment tasks.
Reviewed English editioninauthentic engagementcomment tasks
Data Leakage Trends and Dark Web Risk Migration
Lending Data Leakage, Supply Chain Exposure, and Continued Abuse
Commercialization of Illegal Financial Information Lookup ServicesIn H1 2026, Threat Hunter verified 23,645 data leakage incidents involving 3,426 organizations. The report examines the growing concentration of high-risk data on the dark web, lending-data leakage across third-party supply chains, and the commercialization of illegal personal information lookup services. It also traces how leaked data is repeatedly resold and used for fraud, fake debt collection, targeted marketing, and profile enrichment.
Reviewed English editionAccount TakeoverData Leakage
Half are gone in 30 days. Three in ten return after 90. Threat Hunter monitored 48,222 SMS-receiving numbers in July 2026: 56% appear once or span 30 days or less, and 32.7% are seen again after 90 days. These numbers are shelf inventory, so judge them on last-seen.
Reviewed English editionCybercrime researchBusiness fraud
Threat Hunter tested 8 automation devices against real human input and collected 75,000+ operation events across 9 dimensions. A robotic arm can already look human on a single signal. Combinations of contact area, trajectory, and pressure are harder to fake. Dataset and method are open-sourced.
A half-year assessment of increasingly realistic, coordinated credit fraud across professional debt assumption, mortgage, business, auto, and consumer lending.
Reviewed English editioncredit frauddebt-assumption schemes