Upload by LOGSYNC – KeyCloud_Free_logs122 uploaded by a Telegram User

We noticed an alarming aggregation of credentials and endpoint information surfacing on a public file-sharing platform, identified as "Upload by LOGSYNC – KeyCloud_Free_logs122." This dataset, uploaded by an entity identified as a "Telegram User," was discovered on May 30, 2025. What struck us immediately was the raw nature of the data, appearing to be a direct dump from a stealer malware, rather than a more sophisticated exfiltration or targeted attack. The relatively small pwned count of 19,879 records belies the potential impact, as the data types present suggest a direct pathway to further compromise.

The breach breakdown reveals a stealer log file containing 19,879 records. The primary data types exposed are email addresses and plaintext passwords, alongside associated URLs. These URLs likely represent the compromised domains or services accessed by the affected endpoints. The source structure indicates a collection of endpoint data, including API hosts, suggesting a broad capture of user activity and credentials. The leak location being a public file-sharing site, accessible without authentication, amplifies the immediate risk. This type of data is highly valuable to threat actors for credential stuffing, account takeover, and pivoting into corporate networks.

While specific news coverage for this particular log file is unlikely given its nature and scale, the underlying threat of stealer malware is a persistent concern. Research from cybersecurity firms consistently highlights the prevalence of infostealers like RedLine, Vidar, and Raccoon, which are frequently distributed via social engineering and malicious advertisements. These tools are designed to harvest credentials from browsers, cryptocurrency wallets, and other applications, and their output, like the LOGSYNC dataset, often finds its way to underground forums or public sharing sites. The exposure of plaintext passwords, even in relatively small numbers, represents a critical vulnerability, as these credentials are often reused across multiple platforms, including enterprise applications.