A look at new capabilities, platform improvements, and notable darknet intelligence collected across April, May, and June.
This quarter centered on three themes: less manual reading, thanks to new AI summarization; more context on the leaks already indexed in the platform; and clearer, more navigable views into how DarkOwl’s dataset breaks down across industries and time. Keep an eye out for enhanced data structuring for our Leak and Stealer Log data in the coming quarters!
Forum threads can run for hundreds of posts, and market listing reviews pile up fast — reading through all of it to find the signal is one of the more time-consuming parts of darknet research. New generative AI features, now in beta, automatically summarize forum threads and market listing reviews, distilling long-running conversations and vendor reputations into a concise, readable summary in a fraction of the time it would take to read the original thread.

Understanding how leaks are distributed — across industries and over time — matters for prioritization, trend analysis, and benchmarking against peers. New Industry Insights in Leak Explore visualize how DarkOwl’s leak dataset breaks down by sector and time period, surfacing patterns that are hard to see one leak at a time. Alongside those insights, three new filters — Associations, Industries, and Stealer Logs — make it faster to narrow the dataset down to exactly what’s relevant to an organization or sector.

For teams managing licenses and tracking platform usage, reporting got more flexible this quarter. Date range options now include 180-day and 365-day lookback periods alongside existing ranges, giving users a longer view into usage trends. Logins have been added to the Activity display for better visibility into who’s accessing the platform and when, and Usage Reports can now be downloaded as a PDF, making it easier to share usage data with stakeholders outside the platform.

Knowing a leak exists is only half the picture; knowing who it targeted, and what that target does, is usually the more urgent question. We’ve significantly expanded the enrichment attached to a leak’s Target, adding descriptions, associated domains, countries, and industry classification. Analysts now get the context needed to assess relevance at a glance. The enrichment now covers all historical leaks indexed in DarkOwl Vision.


Our data collection team continues to astonish us with the quantity of data made available across all DarkOwl products, including year over year growth for the number of email addresses, domains, credit card numbers, IP addresses, and crypto addresses.
Our collection and research teams had a busy quarter. Here’s a snapshot of some of the most significant data leaks and original research that happened in Q2.
Beyond the platform itself, DarkOwl’s Data Science team published new original research this quarter: “From Listings to Lineage: Mapping Darknet Drug Markets and Vendors in Early 2026.” The report traces how darknet drug marketplaces and vendor networks have shifted heading into 2026, offering a data-driven look at market structure, vendor migration, and lineage across the current darknet drug trade landscape.
DarkOwl has ingested a number of leaks this quarter from the ShinyHunters extortion site. These leaks span multiple industries – Healthcare, Finance, Insurance, Transportation, Retail, and more – and have had a global impact due to the high volume exposure of corporate data. These leaks not only include PII but also extensive customer data, internal documents, vendor information and other intellectual property. DarkOwl has observed a high return rate of actionable intelligence within these leaks.
Data purported to be from Proactive Medical Inc. was posted on Cl0p, on May 12, 2026. Data exposed includes Customer information, Email addresses, Physical addresses, Account information, Device information, SSNs, Messages, User IDs, Website mentions, Phone numbers, IP addresses, Credit cards, Source code, Medical information, Company names, Internal emails, Names, Expiration dates, Internal documents, and Product data.
A post on b1ack’s Stash, a dark web marketplace, linked to a series of files containing credit card “freebies” between May 18 and 21, 2026. Data exposed includes Credit cards, Full Names, Company names, Email addresses, Expiration dates, Phone numbers, IP addresses, and Physical addresses.
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