Was your data in the Foodora breach?
Check whether your email address was in it
Check my exposureFree. No password — we email you a six-digit code. This breach and every other one your address appears in.
Foodora (foodora.com) suffered a data breach in 2016 that exposed around 582,578 accounts. If you had an account, some of your personal data may be circulating in leaked databases. The fastest way to know is to check your own email — free, in about 30 seconds, no password required.
What happened
In April 2016, the online food delivery service Foodora suffered a data breach which was then extensively redistributed online. The breach included the personal information of hundreds of thousands of customers from multiple countries including their names, delivery addresses, phone numbers and passwords stored as either a salted MD5 or a bcrypt hash.
Breach record from Have I Been Pwned, CC BY 4.0. Risk analysis by Nullivo.
What was exposed, and why it matters
Not all breaches carry the same risk — what matters is which fields leaked. Here is what the Foodora breach exposed and what each item actually enables:
What to do if you were affected
These steps are ordered for this specific breach — the most urgent action given what leaked comes first.
- Passwords
Change this password everywhere you have reused it, starting with your email account — whoever controls your email can reset everything else. - Home addresses
Get your address removed from data brokers — they re-list roughly every four months, so this needs repeating. - Phone numbers
Move two-factor authentication off SMS to an authenticator app or passkey, and add a port-out PIN with your mobile provider. - Names and usernames
Search your usual username to see what else it exposes, and use distinct handles for sensitive accounts. - Email addresses
Treat any message referencing this service with suspicion, and never act on links in unexpected emails. - Confirm you were actually in it
Run a free scan before you spend time on the steps above.
This breach put your details on data-broker sites
Because Foodora exposed home addresses, this is one of the breaches that feeds people-search and data-broker sites. Those sites scrape leaked databases, combine them with public records, and republish the result as a searchable profile — which is how a single breach turns into a permanent public listing. Removal works, but brokers typically re-list within about four months, so it has to be repeated.
See our broker-by-broker removal guides →
How urgent is this now?
This breach is over 10 years old. Old credentials still cause harm — leaked passwords from a decade ago are still tried against new accounts every day.
Passwords are the reason breach age matters less than people expect. Leaked credentials are compiled into wordlists that get tried against new services for years afterwards, so a password exposed here is unsafe to use anywhere, ever again.
Remember: a breach can’t be “un-leaked” — once a database is out, it exists in countless copies. The goal is to make the leaked data useless: change what can be changed, lock down what can’t, and remove what has been republished.
Frequently asked questions
What data was exposed in the Foodora breach?
The Foodora breach exposed passwords, home addresses, phone numbers, names and usernames, email addresses. Attackers replay leaked passwords across other sites (“credential stuffing”). Because most people reuse passwords, one leak often unlocks email, shopping and banking accounts elsewhere.
How many people were affected by the Foodora breach?
Around 582,578 accounts were exposed, making it a mid-sized breach.
What should I do if I had a Foodora account?
Change this password everywhere you have reused it, starting with your email account — whoever controls your email can reset everything else. You can check whether your own email appears in this breach with a free Nullivo scan — no password required.
Breaches that exposed similar data
If the Foodora breach affected you, these breaches exposed comparable information — worth checking too, since leaked datasets are routinely combined.