Was your data in the Hakko Corporation breach?
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Hakko Corporation (hakko.com) suffered a data breach in 2019 that exposed around 9,665 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 March 2019, the Japanese solder-related business Hakko Corporation suffered a data breach. The incident exposed almost 10k customer records including email and physical addresses, phone numbers, names, usernames, genders, dates of birth and plain text passwords.
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 Hakko Corporation breach exposed and what each item actually enables:
Also listed in this breach: Dates of birth, Email addresses, Genders, Names, Passwords, Phone numbers, Physical addresses, Usernames.
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. - Dates of birth
Never confirm your date of birth to an inbound caller — hang up and dial the organisation back on a published number. - 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. - 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 Hakko Corporation 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 7 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 Hakko Corporation breach?
The Hakko Corporation breach exposed passwords, home addresses, dates of birth, 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 Hakko Corporation breach?
Around 9,665 accounts were exposed, making it a smaller, more targeted breach.
What should I do if I had a Hakko Corporation 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 Hakko Corporation breach affected you, these breaches exposed comparable information — worth checking too, since leaked datasets are routinely combined.