McDonald’s Employee Data Appears in Leak, Seller Claims 1.7M Records Stolen

A seller claims 1.7M McDonald’s employee records were stolen from Azure. An 8,000-row sample appears genuine, but its age and full size remain unconfirmed.

A seller on a data-trading forum posted an 8,000-row sample this week claiming it came from McDonald’s own Azure tenant, part of a supposed 1.7 million-record employee directory obtained using stolen credentials. Ransomnews’s technical breakdown found the sample holds up as genuine on every test that can be run against it. What it can’t confirm, notably, is exactly how old the data is or whether the full 1.7 million figure is real.

“The listing is a straightforward private sale, posted at 4:08 AM forum time under the title “McDonalds 1.7M+ Azure Internal Employee Dump”. The seller, an account called TheHatman, writes that the data was “downloaded directly from Azure Tenant using compromised credentials” and that it contains “employee accounts, service accounts, and other tenant account records”. No price is named. Buyers are invited to make offers.” reads the report published by Ransomnews.

“To evidence the claim, the seller attached a free 8,000-record sample. That file is the entire basis for what follows. Ransomnews analysed it offline. We did not access, probe or authenticate against any McDonald’s system, and we have redacted the sample’s download location from the screenshot below because it still resolves to real people’s contact details.”

The file’s structure gives away exactly what it is before you even read a single row. Column names like FacsimileTelephoneNumber and PhysicalDeliveryOfficeName aren’t something anyone invents; they’re the exact property names Microsoft’s own PowerShell directory tools return when an administrator exports a user list from Entra ID, the modern name for Azure Active Directory. Whoever produced this file ran a standard Microsoft export command and saved the output, nothing more exotic than that.

Every one of the 50 email domains found in the sample is genuinely McDonald’s-controlled, spanning corporate staff, restaurant crew accounts, franchisee logins, and vendor guest access across more than thirty countries. Three rows even carry the tenant’s own built-in Microsoft address, mcdonaldscorp.onmicrosoft.com, something that’s invisible from outside the organization and simply isn’t guessable or scrapeable.

Add in 233 rows with the exact kind of garbled text encoding that happens when someone forgets to specify UTF-8 during an export, plus 85 job titles cut off at precisely 30 characters mid-word, the unmistakable fingerprint of a fixed-width HR system field bleeding into the directory, and you get a picture consistent with a real export rather than something assembled from public sources.

“The file is broken in the ways real exports are broken. 233 rows contain mangled characters: Königswinter appears as “Königswinter”, München as “München”, and Ukrainian job titles are rendered as unreadable strings of Cyrillic run through the wrong character set. This is what happens when somebody runs Export-Csv without specifying UTF-8 encoding.” continues the report. “It’s a mistake, and it is not the kind of mistake anybody makes on purpose. A fabricated dataset doesn’t come with authentic encoding damage.”

One detail actually reaches outside the file entirely. A restaurant entry for “556 Upton” on Upton By-Pass in Wirral, complete with phone number, matches a real, publicly listed McDonald’s location down to the digit. That’s a small anchor, but it’s the kind of anchor fabricated data doesn’t usually survive contact with.

What the sample genuinely can’t settle is timing. There isn’t a single date field anywhere in the schema, no creation date, no last login, nothing to age a row by. “We can say with confidence that the data came out of McDonald’s directory. We cannot say from the file alone when it came out.” The best clue available is McDonald’s own market footprint: no Russian records at all, consistent with the company’s 2022 exit, and no Kazakh ones either, which points to sometime in 2023 or later, a wide window rather than a firm date.

The 1.7 million headline number also isn’t something 8,000 rows can verify. That sample is under half a percent of the claim, and while nothing in it looks implausible given McDonald’s global workforce size, plausible isn’t the same thing as confirmed. A seller running a volume trade across multiple companies has every incentive to round the number up in the listing title.

This McDonald’s post wasn’t an isolated event either. The same account, going by TheHatman, posted nine listings in total over sixteen days, claiming roughly 3.6 million records combined across McDonald’s, Vodafone, Gap, two hotel chains, and four major IT outsourcing firms including Kyndryl and Tata Consultancy Services.

Every listing uses an identical 19-column schema and nearly identical wording, the kind of consistency you get from one person running the same export script against whatever tenant they currently hold a working login for, not from someone fabricating nine separate datasets by hand.

That pattern points toward something fairly mundane and fairly common: infostealer malware harvesting saved credentials at scale, feeding a resale market that lets one operator walk into tenant after tenant using logins nobody bothered to protect with multi-factor authentication. Reading an entire company directory doesn’t require a sophisticated intrusion; it requires one working account in a tenant that hasn’t restricted user enumeration, which is Entra ID’s default setting unless an administrator has explicitly locked it down.

For anyone at McDonald’s or one of the other eight listed companies, the real risk here isn’t account takeover, since there are no passwords or hashes in the sample at all. It’s social engineering: full names, job titles, direct phone numbers, and internal email formats are more than enough to make a fake helpdesk call or a fraudulent invoice sound completely legitimate. Treat unsolicited contact that already knows your role and your location with more suspicion than usual, because that’s precisely the kind of detail this file was built to hand someone.

“For individuals named in the data, there is no action that removes the exposure.” concludes the report.”The realistic response is scepticism about unsolicited contact that arrives already knowing your role and your store, and a refusal to act on instructions that arrive by phone or email without out-of-band confirmation.”

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Pierluigi Paganini

(SecurityAffairs – hacking, McDonald’s)