Imgur Live, Date Love and others fall victim of data leaks.

A total of 12 breach events were found and analysed resulting in 3,018,343 exposed accounts containing a total of 9 different data types of personal datum . The breaches found publicly and freely available included Imgur, Live Date Love, Cafepress, Honest Insite and iVoy. Sign in to view the full library of breach events which includes, where available, reference articles relating to each breach.

Data Breach Analysis

This particular breach group is noteworthy not for the sheer number of accounts, but for the variety of platforms impacted, from image sharing and dating apps to e-commerce and logistics services.

The inclusion of companies like Imgur, Live Date Love, CafePress, Honest Insite, and iVoy demonstrates how digitally diverse ecosystems, often with little in common on the surface, can intersect in data exposure events. The freely available nature of the data ensures that these records are accessible not just to advanced threat actors, but also to low-skill opportunists, identity brokers, and amateur hackers.

Imgur, one of the most well known image hosting and meme sharing platforms, experienced a data breach affecting approximately 1.7 million accounts in 2014, though it wasn't disclosed until 2017. At the time, the platform was praised for its prompt public response and the fact that no personal information beyond emails and passwords was involved.

Imgur may not store addresses or payment details, but with the right data correlation, especially via shared usernames or email handles, it can act as a stepping stone to more serious compromises.

Live Date Love represents a niche dating service, a category historically targeted for its deeply personal user data and the sensitive contexts in which it operates. Dating platforms, even small or regional ones, often collect sensitive information.

The breach of a platform like Live Date Love doesn’t just carry the usual risks of identity theft, it also introduces the possibility of blackmail, doxxing, or emotional exploitation. Moreover, users may not be aware that their old accounts, created years ago and now dormant, are still tied to exposed information.

The reputational risks for individuals, especially those in conservative regions or industries, are substantial.

CafePress, a custom merchandise and print-on-demand retailer, suffered a major breach in 2019 that reportedly affected over 23 million accounts. In this data dump, a segment of those accounts is included.

What made the CafePress breach especially problematic was the inclusion of password hints and security questions, data that allows attackers to circumvent password resets or MFA bypasses. Combined with shipping address information and historical order data, this creates a prime dataset for fraudsters or social engineers aiming to exploit user trust or impersonate customer service representatives.

Honest Insite appears to be tied to online consumer panels or survey services, where users are paid or rewarded for participating in market research.

Breach data from platforms like Honest Insite is particularly valuable to:
- Social engineers: looking to tailor scams to beliefs or preferences
- Political operatives: aiming to infer voter segments
- Advertisers: acquiring behavioural insights through illicit means

The combination of detailed personal profiles and reward-driven behaviour makes such data ripe for manipulation. It may also be used in constructing synthetic identities that look legitimate to anti-fraud systems.

iVoy is a last-mile delivery and courier company, likely operating in Latin America. Logistics companies play an increasingly critical role in e-commerce ecosystems, and a breach here could affect:
- Customers (who receive packages)
- Vendors (who ship goods)
- Couriers (who operate the infrastructure)

Such a breach isn’t just about privacy, it affects trust and operational continuity. If delivery schedules are exposed, individuals could be targeted during predictable time windows. Attackers may also impersonate couriers to facilitate physical theft, fraud, or social engineering against recipients.

Nine Data Types: Rich, Relational, and Dangerous

The breach set includes nine types of data, more than typical breach groups. This breadth of data allows for extremely detailed identity reconstruction. It also allows attackers to build behavioural models: what a person buys, where they live, how they interact online, and even what kinds of surveys they respond to.

Combined with past breaches, such a dataset becomes a force multiplier for long-term fraud campaigns, account takeovers, and AI-driven impersonation attempts.

Broader Implications: Low-Volume, High-Context

Although the total number of accounts, just over 3 million, is modest by modern breach standards, the contextual richness and diversity of industries involved make this leak cluster noteworthy. Each of the twelve breaches likely originated at a different time, in a different country, under different disclosure laws. Yet here they are, flattened and recombined, publicly available, and silently fuelling malicious activity behind the scenes.

This reinforces the idea that breaches don’t “expire” when a company issues a password reset. They live on, in spreadsheets, in Telegram groups, in GitHub gists, and continue to do harm, sometimes years later, especially when they include soft data types like bios, security hints, and personal preferences.

Conclusion

From meme-sharing and dating to courier tracking and consumer surveys, this breach cluster illustrates the continuum of digital exposure in the modern age. Platforms that seem disconnected in purpose and audience ultimately contribute to the same global network of leaked data, now freely circulating online.

The long tail of breach visibility ensures that even long-forgotten accounts may one day resurface, not in your inbox, but in someone else’s script.