DemandScience 2024 Data Breach
Data Broker · B2B contact data aggregation and sales intelligence · B2B lead intelligence and marketing data provider · USA
DemandScience B2B Lead Intelligence Breach (2024): 132M Professional Contact Records Exposed
B2B lead intelligence and marketing data provider (formerly Pure Incubation)
Confirmed · ObscureIQ Intelligence
Breach Risk Index i
41/100
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.
132.7MRecords
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
Breach Summary
DemandScience, a B2B data and revenue marketing company, suffered a breach affecting 132.7 million records when a large corpus of its data appeared for sale on a hacking forum. The breach was later attributed to a leak from a decommissioned legacy system. DemandScience aggregates business contact information to help enterprise sales and marketing teams identify and reach buyers, which is why consumer data ended up in its systems without any direct relationship between the company and the individuals affected. The exposed data included roughly 122 million unique corporate email addresses, along with names, phone numbers, physical addresses, employer details, job titles, and LinkedIn profile links. Although much of this information was drawn from public sources, the breach packaged it into a clean, normalized dataset that is far more useful to attackers than scattered public records. That combination makes it well-suited for spearphishing, business email compromise, and executive impersonation campaigns targeting both individuals and the organizations they work for. No regulatory actions or notifications have been publicly reported in connection with this breach. Because affected individuals likely had no prior awareness that DemandScience held their data, many will not know to take precautions. People whose information was exposed should be alert to unsolicited contact that references their employer, job title, or workplace details, as attackers can use this data to craft convincing, targeted messages.
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…
132.7M records analyzed
About DemandScience
DemandScience is a B2B revenue marketing and data company that sells buyer intelligence, contact data, intent signals, campaign execution, and related go-to-market services to enterprise sales and marketing teams. Its business is built around helping customers identify, score, and reach business buyers through a mix of data assets, software, and managed services.
Why They Hold Your Data
B2B lead-intelligence providers aggregate business contact records, company profiles, job titles, emails, phone numbers, and intent-linked marketing data across sales and outreach workflows.
Recent Developments
DemandScience remains an active growth-stage player in the B2B data and revenue-marketing market, and its recent public activity points to expansion rather than retrenchment. In 2025 it announced the acquisitions of Bound and DemandJump, said it had returned to growth, added a new CFO, and in 2026 announced additional leadership hires tied to AI-driven precision performance marketing.
Data Points Exposed
8 verified field types
Email Address
Employer
Full Name
IP Address
Job Information
Phone Number
Physical address High
Social Media Profile
Breach Impact
The 2024 breach highlighted the scale and downstream risk of brokered B2B contact intelligence. HIBP says the exposed corpus was later attributed to a leak from a decommissioned legacy system and consisted largely of business contact data aggregated from public sources, including about 122 million unique corporate email addresses along with names, phone numbers, physical addresses, employers, and job titles. Even though much of the data was framed as public-source business information, packaging it into a normalized breach corpus made it far more useful for phishing, executive targeting, business email compromise pretexting, enrichment, and large-scale corporate identity mapping.
Exploitation & Downstream Threats
• SIM swap attacks where phone numbers are present | • Targeted phishing campaigns using exposed email addresses | • Doxxing risk from physical address exposure | • Employment-based social engineering using job and employer data | • Social media account targeting and impersonation
Principal Risk Advisory
What this means for a principal
A data-broker/identity breach: aggregated identity attributes re-seed broker networks and enrich targeting of the individual. 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.
- 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).
Protect Yourself
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