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.

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.

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.