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APICRYPT Dataset Leak Claim Lists 852,757 Records Across 60,911 Healthcare Users

Data Exposure Report France flagFrance Healthcare Messaging Professional & Contact Data Download Listing Unverified

APICRYPT Dataset Leak Claim Lists 852,757 Records Across 60,911 Healthcare Users

Claimed rows852,757
Claimed users60,911
Breach year2026
Unlock cost5 points

An actor using the handle "Shenron" claims to have released a dataset associated with APICRYPT Messaging, a secure healthcare messaging system created in 1996 and managed by the APICEM association.

The listing advertises 852,757 rows tied to 60,911 users. The visible field list includes surnames, given names, services, healthcare establishments, postal codes, cities, APICRYPT email addresses, user numbers, street addresses, RPPS identifiers, FINESS identifiers and specialties. The post marks the breach and release as occurring in 2026. The dataset, its source, the stated counts and current availability have not been independently verified.

Post details

OrganizationAPICRYPT / APICEM
CountryFrance flagFrance
SectorHealthcare secure messaging
Actor"Shenron"
Claimed rows852,757
Claimed users60,911
Breach / release year2026
Post date shown

What the post claims

  • 852,757 rows advertised
  • 60,911 users advertised
  • Breach dated to 2026
  • Release dated to 2026
  • Surname field listed
  • Given-name field listed
  • Service field listed
  • Healthcare-establishment field listed
  • Postal-code and city fields listed
  • APICRYPT email-address field listed
  • User-number field listed
  • Street-address field listed
  • RPPS identifier field listed
  • FINESS identifier field listed
  • Medical-specialty field listed
  • Sample records displayed
  • Hidden download requires 5 points

The visible sample contains healthcare-professional directory and contact information. Individual names, email addresses, RPPS numbers, FINESS identifiers and physical addresses shown in the sample are not transcribed in this report.

Screenshots

The supplied capture shows the APICRYPT claim, the stated 852,757-row and 60,911-user figures, the listed professional and contact-data fields, sample records and a hidden download area requiring 5 points.

IOCs & identifiers

Identifiers directly visible or supported by the supplied material. These support correlation and do not independently verify the dataset claim.

TypeIdentifierSource
Actor handleShenronScreenshot 1
Named organization domainapicrypt[.]orgScreenshot 1

The domain identifies the organization named in the claim, not malicious infrastructure. The actor's footer explicitly states that Matrix, Session, Telegram, Tox and XMPP are not used. No malware hash, attacker-controlled domain or attacker-controlled IP address is visible in the supplied material. Personal and professional identifiers shown in the sample are not included in this table.

Mapped techniques

Claimed identifies behavior explicitly described by the actor. Inferred identifies an analytical mapping supported by the supplied material. Neither label means the activity has been independently verified.

  • Collection T1213.006 Data from Information Repositories: Databases Inferred The listing presents a structured dataset containing healthcare-professional identity, contact, organizational and professional-registration fields. The supplied material does not disclose how the data was obtained or independently establish unauthorized access to APICRYPT systems.

Potential impact

If authentic, the claimed dataset could expose healthcare-professional names, APICRYPT email addresses, physical addresses, RPPS identifiers, FINESS identifiers, specialties and workplace information. The combination could support targeted phishing, impersonation, credential-harvesting attempts or profiling of healthcare professionals and facilities.

Status Unverified

Dark Web Informer has not independently verified the dataset's authenticity, source, completeness, 852,757-row count, 60,911-user count, sample contents or current availability. The supplied screenshot documents the listing and visible sample records, not independent confirmation of the underlying dataset.

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