Promofarma 2019 Data Breach
Healthcare / Pharmacy
Promofarma 2019 Data Breach
A pharmacy service in the healthcare sector.
Confirmed · ObscureIQ Intelligence
Breach Risk Index i
27/100
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.
1.3MRecords
2019Year
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 August 2019, a data breach from the Spanish online pharmacy Promofarma appeared for sale on a dark web marketplace. The breach exposed over 2.7M records and contained almost 1.3M unique customer email addresses. The data also included customer names and was provided to HIBP by dehashed.com.
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…
1.3M records analyzed
About Promofarma
Promofarma is a pharmacy service in the healthcare sector.
Why They Hold Your Data
Promofarma is a pharmacy service in the healthcare sector. Services like this typically hold email addresses, names through account registration and normal operations.
Recent Developments
The Promofarma dataset circulated publicly; treat as part of the standing exposure landscape.
Data Points Exposed
2 verified field types
Email Address
Full Name
Breach Impact
The exposure created downstream fraud and phishing risk for those affected and drew scrutiny of Promofarma's data protection.
Exploitation & Downstream Threats
• Targeted phishing campaigns using exposed email addresses
Principal Risk Advisory
What this means for a principal
A healthcare-linked breach: exposure ties a named individual to a provider relationship and, where clinical or insurance data is present, to conditions and treatment. For a high-profile principal the main risk is credible impersonation and enrichment of existing exposure.
What You Should Do
- 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: cross-reference the exposed identifiers against broker-available data to size and prioritize the principal's wider footprint.
- ThreatWatch tuned to this incident's identifiers and misuse pattern (impersonation and targeting patterns, not generic credential monitoring).
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