SunCloudNew 1366 – 700 LogsFile uploaded by a Telegram User

We noticed a concerning upload on January 8th, 2026, originating from a Telegram user, which contained a stealer log file. This particular incident stands out due to the direct exposure of plaintext credentials, a vulnerability that bypasses many common security layers. The log file, identified as SunCloudNew 1366, details 19598 records, each representing a compromised endpoint. What struck us was the inclusion of API host information alongside email addresses and passwords, suggesting a potential pivot point for further lateral movement within connected systems.

The breach breakdown reveals a stealer log file, uploaded by an anonymous Telegram user on January 8th, 2026. This file, designated SunCloudNew 1366, contains 19,598 distinct records. The exposed data types are particularly alarming: email addresses, plaintext passwords, and associated URLs. Crucially, the data also includes API host information, indicating that the compromised endpoints were likely accessing or managing sensitive API services. The source structure points to a common credential-stealing malware variant, which indiscriminately harvests login details from infected machines. The leak location, a public Telegram channel, amplifies the risk of immediate exploitation by malicious actors.

While this specific incident may not have garnered widespread mainstream news coverage, the proliferation of stealer logs on platforms like Telegram is a well-documented trend in cybercrime forums. Cybersecurity research consistently highlights the efficacy of these tools in gathering large volumes of credentials, often targeting enterprise users. Open-source intelligence (OSINT) efforts frequently uncover such uploads, serving as early indicators of potential compromise for organizations. The implications of exposed API credentials, as seen here, are particularly concerning given their role in facilitating programmatic access to systems and data, a theme explored in various threat intelligence reports concerning supply chain attacks and automated exploitation.