bigbasket 2020 Data Breach
Platform · Online grocery delivery · E-commerce + logistics platform · India
BigBasket Indian Online Grocery Platform Breach (2020): 21 Million Customer Records Including Passwords & Home Address Exposed
Online grocery delivery service.
Confirmed · ObscureIQ Intelligence
Breach Risk Index i
34/100
Lower riskHigher risk
Moderate: notable exposure with meaningful misuse potential.
Data Sensitivity i
StandardExposed data is largely lower-sensitivity. Standard identity-protection precautions are advised.
21.5MRecords
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.
Crucial data exposed
AddressPhysical address
Breach Summary
In November 2020, ShinyHunters compromised the database of Indian online grocer BigBasket, and roughly 21.5 million customer records were sold on the dark web before being leaked for free in April 2021. Exposed data included names, email addresses, phone numbers, physical addresses, dates of birth, IP addresses, and passwords stored as Django (SHA-1) hashes.
Full threat analysis, exploitation vectors, and principal guidance below.
11 additional sections · verified field analysis · defensive doctrine
Querying breach corpus…
Cross-referencing exposed field types…
Resolving threat-actor attribution…
Compiling principal risk advisory…
21.5M records analyzed
About bigbasket
BigBasket is one of India’s largest online grocery delivery platforms, serving millions of households across major cities.
Why They Hold Your Data
Online grocery platforms collect customer identity, contact details, addresses, payment-adjacent data, order histories, and delivery records across e-commerce and logistics operations.
Recent Developments
After the incident, the stolen database was first sold privately and then leaked for free in April 2021. The breach was attributed to the actor ShinyHunters.
Data Points Exposed
7 verified field types
Date of Birth High
Email Address
Full Name
IP Address
Password High
Phone Number
Physical address High
Breach Impact
The combination of names, home addresses, phone numbers, and dates of birth supports identity fraud and physical-location profiling, with crackable SHA-1 credentials adding account-takeover risk.
Exploitation & Downstream Threats
• Credential stuffing against reused passwords across other platforms | • 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
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
- Treat the home address as exposed: review mail and package handling and physical-security routines, and brief household staff to verify unusual requests.
- 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).
S
Threat Actor: ShinyHuntersConfidence: High
Motivation: Financial extortion, data sale
A prolific data theft and extortion group that began as a database theft and resale actor and evolved toward SaaS-focused extortion. Recent activity involves vishing, credential harvesting, SSO compromise, and theft of customer data from cloud and SaaS environments.
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