Acuity 2020 Data Breach
ObscureIQ Breach Intelligence
Low SeverityWebsite / service breach
Acuity Scheduling Software Exposure (2020): 14 Million Business Client Records Including Home Address & DOB Found in Open Database
Appointment scheduling software for businesses.
Verified by ObscureIQ Intelligence
34/100Breach Risk Index
10Data Value
25Market Recency
478dSince Breach
Breach Intelligence Summary
Entity: Acuity · Actor: Unknown · Sources: 4 references
Attack: Unknown
Profile: Platform · Appointment booking and scheduling · SaaS scheduling software · Global
Timeline: Breach (2020-06-18) · Indexed (Jan 04, 2025) · Year (2020)
Exposure: 241.8M records · 8 fields: Date of Birth, Email Address, Full Name, Gender, IP Address, Phone Number, Home Address, Salutation
Status: Confirmed
Executive Summary
A 437GB dataset labeled "Acuity" surfaced online in mid-2020 and was subsequently distributed across hacking forums, exposing records tied to approximately 241.8 million individuals. The origin of the dataset has not been confirmed. No organization named Acuity has publicly acknowledged responsibility for the data, and cybersecurity researchers have been unable to attribute it with confidence to any known company, including Acuity Scheduling. The dataset spans more than 400 data fields per record. The exposed information includes names, phone numbers, physical addresses, email addresses, dates of birth, genders, and IP addresses. With over 14 million unique email addresses and this breadth of demographic detail, the dataset is highly useful for identity linkage, targeted phishing, and fraud. The combination of address, date of birth, and contact information is sufficient to enable convincing impersonation and social engineering attacks. No legal actions or regulatory investigations related to this dataset have been publicly reported. Because attribution remains unconfirmed, formal notification to affected individuals has not occurred. People whose information appears in the dataset face real risk of identity theft, profiling, and misuse by data brokers or fraudsters, regardless of how the data was originally compiled or leaked.
ObscureIQ assessment: This is best treated as broad consumer identity exposure. The combination of address, phone, DOB, and demographic fields creates strong risk of identity theft, profiling, data brokerage abuse, and highly convincing social engineering.
Breach Impact
The public breach record attributed to “Acuity” is not confidently verified as a breach of Acuity Scheduling itself. Public breach tracking states that a 437GB corpus created in 2020 and later widely distributed was labeled “Acuity,” but the source could not be confidently tied to any known company by that name; the exposed data reportedly included more than 14 million unique email addresses and extensive personal information across more than 400 fields, making the dataset highly useful for identity linkage, phishing, profiling, fraud, and broader enrichment abuse regardless of the uncertain attribution.
About Acuity
Acuity Scheduling is an appointment booking and scheduling software platform used by businesses to manage availability, client intake, reminders, payments, and calendar coordination. It operates as part of the Squarespace product suite and is positioned as infrastructure for service businesses that need automated scheduling and client-management workflows.
Why They Hold Your Data
This dataset appears to be a large, widely distributed corpus attributed to an entity called “Acuity,” containing extensive personal records across hundreds of columns, including names, phone numbers, physical addresses, genders, and dates of birth. The source was not confidently verified to a known Acuity company.
Recent Developments
Acuity Scheduling continues to operate as an active Squarespace-owned product with enterprise positioning, privacy documentation, and guidance for regulated use cases such as HIPAA-aligned workflows. Its current public materials emphasize secure client data handling, enterprise controls, and deeper integration into the broader Squarespace ecosystem.
Data Points Exposed
8 verified field types
Date of Birth High
Email Address
Full Name
Gender
IP Address
Phone Number
Home Address High
Salutation
Field names are shown in full for clarity and search visibility. Canonical machine keys are emitted only in this page’s structured data.
Exploitation & Downstream Threats
Threat Activity:Critical
Primary downstream threats:
- Identity verification bypass using name + date of birth combination
- SIM swap attacks where phone numbers are present
- Targeted phishing campaigns using exposed email addresses
- Doxxing risk from physical address exposure
Threat vectors:
- Identity verification bypass
- Phishing, credential stuffing & account takeover
- Name-based social engineering
- Profile enrichment
- Geolocation & account flagging
- SIM swapping, vishing & SMS phishing
- Physical stalking, mail fraud & identity verification
- Home targeting, stalking & physical threat
Recommended Actions
If you believe your information may be included:
Enable MFA Everywhere
Turn on multi-factor authentication on email first, then financial accounts.
Report & Recover
If you spot misuse, start an official recovery plan and report fraud.
Frequently Asked Questions
What happened in the Acuity breach?▾
A 437GB dataset labeled "Acuity" surfaced online in mid-2020 and was subsequently distributed across hacking forums, exposing records tied to approximately 241.8 million individuals. The origin of the dataset has not been confirmed. No organization named Acuity has publicly acknowledged…
What data was exposed?▾
Verified fields include Date of Birth, Email Address, Full Name, Gender, IP Address, Phone Number, Home Address, Salutation.
What should I do if I was affected?▾
Change reused passwords, enable MFA, and (if identity or financial data is involved) freeze your credit and monitor your accounts.
Sources & References
Every claim on this page is traceable. This breach draws on:
Breach Index
Breach Index
Cross-source
Dehashed
ObscureIQ Intelligence
ObscureIQ proprietary analysis
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