Police suspects Dutch hackers were involved in Odido breach
Dutch police suspect Dutch hackers involved in Odido breach via phishing and vishing.
Dutch police have found strong indications that Dutch hackers were involved in the February breach at telecommunications provider Odido. The attackers allegedly used a vishing attack, posing as an IT employee, to trick the company into granting them access, leading to a data theft affecting 6.2 million customers. The ShinyHunters gang claimed responsibility, known for similar attacks targeting SSO accounts and data theft from connected SaaS applications.
AI summary of the linked source. Not reviewed by an editor. How this works
Run Odido?
Get an email when a new story names Odido, usually within the hour.
Free. Your list stays private and never appears in a subject line. One click stops it. How Vendor Watch worksPrivacy
The lesson from this incident
Full lessonThe Odido breach demonstrates how social engineering — specifically vishing (voice phishing) — can completely bypass technical security controls by exploiting human trust. Attackers impersonated an IT employee to manipulate staff into granting unauthorized access, after which they pivoted to steal data from connected SaaS applications via compromised SSO accounts. This incident highlights that even well-resourced organizations remain vulnerable when employees lack robust verification procedures for identity requests made over the phone. The scale of the breach — 6.2 million customers — underscores the catastrophic downstream impact of a single successful social engineering interaction. ShinyHunters' repeated use of this technique signals a proven, repeatable attack pattern that organizations must actively train against.
What helps against this
How we list vendors- Phishing-resistant MFA
A stolen password, or a user who taps Approve on a push prompt, is no longer enough to log in.
- Identity threat detection and response (ITDR)
Attackers who log in with real, stolen credentials get noticed.
- Security awareness training and phishing simulation
People recognise and report attacks instead of falling for them.
Indicators of Compromise
Extracted by AI from the linked source. Not reviewed by an editor. How this works
- malware — ShinyHunters