Appen 2020 Data Breach
Company · AI data services company · Online platform · Australia
Appen AI Training Data Company Breach (2020): 5.9 Million User Accounts Including Passwords & Employer Exposed
AI data services company.
Confirmed · ObscureIQ Intelligence
Breach Risk Index i
17/100
Lower riskHigher risk
Lower: limited current risk based on data value and recency.
Data Sensitivity i
StandardExposed data is largely lower-sensitivity. Standard identity-protection precautions are advised.
5.9MRecords
2020Year
The Breach Risk Index (BRI) is a proprietary 0–100 score rating how dangerous a breach is right now, based on how recently the data has been circulating on the dark web and how valuable it is to attackers.
Breach Summary
In June 2020, the AI training-data company Appen suffered a data breach affecting almost 5.9 million users, later sold online. Exposed data included names, email addresses, and passwords stored as bcrypt hashes, with some records also containing phone numbers, employers, and IP addresses.
Full threat analysis, exploitation vectors, and principal guidance below.
10 additional sections · verified field analysis · defensive doctrine
Querying breach corpus…
Cross-referencing exposed field types…
Resolving threat-actor attribution…
Compiling principal risk advisory…
5.9M records analyzed
About Appen
Appen is an AI training-data company that provides labeled datasets and human-annotation services used to build and improve machine-learning models.
Why They Hold Your Data
AI training data companies collect contributor and contractor account data, including names, emails, passwords, IP addresses, phone numbers, and employer-linked information used to manage distributed labor and annotation work.
Recent Developments
Appen continued operating as an AI data provider. The breached data was sold online after the incident.
Data Points Exposed
6 verified field types
Email Address
Employer
Full Name
IP Address
Password High
Phone Number
Breach Impact
Bcrypt hashing limits password recovery, so the main exposure is the identity/contact set (name, email, phone, employer), useful for phishing and profiling of a workforce of data annotators.
Exploitation & Downstream Threats
• Credential stuffing against reused passwords across other platforms | • SIM swap attacks where phone numbers are present | • Targeted phishing campaigns using exposed email addresses | • Employment-based social engineering using job and employer data
Principal Risk Advisory
What this means for a principal
A consumer-service breach: contact and account data supports phishing, account takeover and profile enrichment. For a high-profile principal the main risk is credible impersonation and enrichment of existing exposure.
What You Should Do
- Reset any reused passwords and enable MFA on email first, then financial accounts.
- Guard against SIM-swap and vishing: add a carrier port-out PIN and verify any 'support' calls independently.
- Do not use unofficial 'am I affected' lookups; several are themselves harvesting operations.
How ObscureIQ Can Help
- Corpus confirmation: determine whether and where the principal (plus household and staff) appear in this dataset and which specific fields are exposed for them.
- Exposure mapping and footprint neutralization: cross-reference against broker-available data and suppress still-removable elements, prioritizing address and phone, since this record re-seeds broker networks.
- ThreatWatch tuned to this incident's identifiers and misuse pattern (impersonation and targeting patterns, not generic credential monitoring).
Protect Yourself
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