SC Daily Phone Spam List 2015 Data Breach

SC Daily Phone Spam List 2015 Circulating Data Breach

Data & Identity / Credential Compilation / Cybercrime

SC Daily Phone Spam List 2015 Circulating Data Breach

Aggregated spam lists dataset circulating in the cybercrime ecosystem (not a single company).

Compilation · ObscureIQ Intelligence
Breach Risk Index i
25/100
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.
32.9MRecords
2015Year

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
Unknown (aggregator)Scraping / CollectionCybercrimeSpam ListsThird Party2015

Breach Summary

In 2015, SC Daily Phone Spam List appeared in a circulating dataset affecting approximately 32,939,105 records. Exposed data included dates of birth, email addresses, names, gender, IP addresses, phone numbers, physical addresses. The data is an aggregated compilation rather than a single-company breach.

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…

32.9M records analyzed

About SC Daily Phone Spam List

SC Daily Phone Spam List is not a breached company but an aggregated spam lists dataset circulating in the cybercrime ecosystem, assembled from many prior breaches and collection sources.

Why They Hold Your Data

As an aggregated compilation, it combines dates of birth, email addresses, names, gender, IP addresses, phone numbers, physical addresses drawn from many sources rather than one organization's records.

Recent Developments

The SC Daily Phone Spam List dataset circulated publicly; treat as part of the standing exposure landscape.

Data Points Exposed

6 verified field types
Date of Birth High
Email Address
Full Name
Gender
IP Address
Physical address High

Breach Impact

The exposure created downstream fraud and phishing risk for those affected and drew scrutiny of SC Daily Phone Spam List's data protection.

Exploitation & Downstream Threats

• Identity verification bypass using name + date of birth combination | • 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).
U(
Threat Actor: Unknown (aggregator)
Threat actor

Attribution based on available breach intelligence.

Read the full threat-actor profile →

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