Advance Auto Parts 2024 Data Breach

Advance Auto Parts Automotive Retailer Breach (2024): 79 Million Customer & Employee Records Exposed via Snowflake

Company · Automotive parts retail and distribution · Retail and supply chain network · USA

Advance Auto Parts Automotive Retailer Breach (2024): 79 Million Customer & Employee Records Exposed via Snowflake

Automotive aftermarket parts retailer.

Confirmed · ObscureIQ Intelligence
Breach Risk Index i
19/100
Lower riskHigher risk
Lower: limited current risk based on data value and recency.
Data Sensitivity i
Standard
Exposed data is largely lower-sensitivity. Standard identity-protection precautions are advised.
79.2MRecords
2024Year

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.

Crucial data exposed
AddressPhysical address
Classification Tags
Cloud MisconfigurationAutomotive & MobilityVehicleCustomer Direct; Employee2024

Breach Summary

Advance Auto Parts, one of North America's largest automotive parts retailers, suffered a data breach in 2024 after attackers gained unauthorized access to the company's Snowflake cloud environment. Snowflake is a cloud-based data storage and analytics platform. The breach was part of a broader wave of attacks targeting organizations using Snowflake accounts, which also affected companies including Ticketmaster and Santander. A dataset from the breach was subsequently posted for sale on a popular hacking forum. While Advance Auto Parts disclosed to Maine regulators that 2,316,591 people were directly affected, the broader dataset contained 79 million unique email addresses spanning both customers and employees. The exposed data included names, email addresses, phone numbers, and physical addresses. Employee records contained additional attributes beyond what was exposed for customers. This combination of contact details creates clear pathways for phishing attacks, impersonation, and fraud. Because Advance Auto Parts serves both professional automotive installers and everyday vehicle owners, attackers can use the data to craft convincing scams tied to vehicle ownership, parts purchases, or maintenance needs. Advance Auto Parts notified affected individuals and made disclosures to state regulators, including Maine. No widely reported regulatory enforcement action or litigation settlement had concluded as of mid-2025. People affected by this breach should be alert to unsolicited emails, calls, or messages referencing their vehicle or auto parts purchases, as attackers can use the exposed data to make fraudulent contact appear credible. Updating passwords on any accounts linked to the exposed email addresses is also advisable.

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…

79.2M records analyzed

About Advance Auto Parts

Advance Auto Parts is a major automotive aftermarket parts retailer serving both professional installers and do-it-yourself customers through a large North American store network and related commercial distribution operations. As of January 3, 2026, the company said it operated 4,305 stores, primarily in the United States, plus additional locations in Canada, Puerto Rico, and the U.S. Virgin Islands.

Why They Hold Your Data

Automotive retail platforms collect customer emails, names, phone numbers, order details, and in some cases account credentials or linked vehicle-interest data across commerce and loyalty systems.

Recent Developments

Advance Auto Parts’ recent public posture has centered on a multi-year turnaround focused on strategic execution, loyalty, and margin improvement. In February 2026, the company reported fourth quarter and full-year 2025 results, issued 2026 guidance highlighting continued progress on its strategic plan, and in the same period launched a new Advance Rewards loyalty program.

Data Points Exposed

4 verified field types
Email Address
Full Name
Phone Number
Physical address High

Breach Impact

The 2024 breach was significant because it exposed both customer and employee-related data and was linked publicly to the wider Snowflake account compromise wave. Advance disclosed to Maine regulators that 2,316,591 people were affected, while Have I Been Pwned reports that the broader breach corpus included 79 million unique email addresses along with names, phone numbers, addresses, and additional employee-related attributes. That made the dataset useful for phishing, impersonation, fraud pretexting, and follow-on targeting against both consumers and staff.

Exploitation & Downstream Threats

• SIM swap attacks where phone numbers are present | • Targeted phishing campaigns using exposed email addresses | • Doxxing risk from physical address exposure

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 this is targeting-grade, not merely identity-theft-grade: the combination lets an adversary locate, impersonate, or pressure the principal with little additional work.

What You Should Do

  1. Treat the home address as exposed: review mail and package handling and physical-security routines, and brief household staff to verify unusual requests.
  2. Guard against SIM-swap and vishing: add a carrier port-out PIN and verify any 'support' calls independently.
  3. Do not use unofficial 'am I affected' lookups; several are themselves harvesting operations.

How ObscureIQ Can Help

  1. Corpus confirmation: determine whether and where the principal (plus household and staff) appear in this dataset and which specific fields are exposed for them.
  2. 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.
  3. ThreatWatch tuned to this incident's identifiers and misuse pattern (impersonation and targeting patterns, not generic credential monitoring).

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