Spectrum, Netflix and others fall victim of data leaks.
11 July 2021BREACHAWARE HQ
A total of 17 breach events
were found and analysed resulting in 5,040,599 exposed accounts
containing a total of 14 different data types of personal datum
. The breaches found publicly and freely available included Spectrum, Netflix, Game, Porn, Shop, Music, Social, VPN (Anonymous), Shopping [2] (Anonymous), Tigtag and IPTV Social Media. Sign in to view the full
library of breach events which includes, where available, reference articles relating to
each breach.
Categories of Personal Data Discovered
Contact Data, Technical Data, Financial Data, Locational Data, Transactional Data, National Identifiers, Socia-Demographic Data.
Data Breach Analysis
The presence of well-known providers like Spectrum and Netflix in this breach set carries specific implications. As a major telecommunications company, Spectrum handles sensitive subscriber data, including billing information, IP address assignments, and service usage patterns. Exposure of this data can lead to highly targeted phishing, service manipulation, or even identity theft. Netflix, while a media streaming service, holds credentials that may be reused across other services, exposing users to credential-stuffing risks if their account data is leaked.Less clearly attributed breach labels such as Game, Porn, Shop, Music, and Social suggest datasets gathered from specific but unnamed platforms, likely leaked or aggregated anonymously. These terms could encompass everything from small independent websites to sections of larger platforms. The anonymity of these leaks adds to the risk: users may be entirely unaware that their data was ever compromised, particularly if the original platform no longer exists or has not acknowledged the breach.
The inclusion of VPN (Anonymous) is especially noteworthy. Virtual Private Network providers manage not only user accounts but also logs of browsing behaviour, connection times, and IP masking activity. While many VPNs promise no-logs policies, a data breach suggests either an exception to that policy or poor operational security practices. Users affected in such leaks may face greater privacy risks, especially if connection metadata is involved.
Shopping [2] (Anonymous) appears to be part of a series, indicating repeated or systematic leaks from e-commerce-related services. Leaked data from shopping platforms may include names, delivery addresses, payment card fragments, and order histories, making users vulnerable to targeted fraud or scams.
Tigtag, an educational video platform, and IPTV Social Media, possibly linked to streaming or broadcast services with social components, round out the breach set. Both likely manage subscription-based access and account systems that tie to personal identity in educational or entertainment contexts.
This wide range of data types reveals a significant cross-section of digital identity markers. When aggregated, these attributes can be used to build highly detailed user profiles, facilitating not only fraud and impersonation but also behavioural targeting or exploitation through social engineering.
Furthermore, anonymous breaches that rely on general descriptors, like “Game” or “Social” complicate incident response. Affected users cannot know where their data originated, and there is no clear custodian to investigate or take corrective measures. This contributes to a growing category of “orphaned data,” information floating in cybercriminal markets with no accountability attached.
The relatively moderate number of exposed accounts, just over five million, is offset by the diversity and sensitivity of the data types involved. In many cases, smaller breaches with highly varied data can represent a greater risk than high-volume breaches with uniform, limited content. This is particularly true for breaches tied to entertainment, adult content, or social platforms, where the reputational stakes are higher for affected individuals.
As breaches of this nature continue to surface in public forums and marketplaces, the ongoing erosion of trust between users and online services becomes more apparent. In many cases, users may have no idea that seemingly trivial services collect as much personal data as they do, and such data is often retained longer than expected.
In summary, this breach set reflects a digital environment where personal data is both ubiquitous and poorly guarded. The combination of major corporate platforms and anonymously leaked, sector-specific datasets reveals a fragmented but persistent exposure landscape that is difficult for users to navigate or monitor.