LogsDiller Cloud_Free_24 uploaded by a Telegram User

We noticed an unusual uptick in credential stuffing attempts targeting our internal applications last week, prompting a deeper investigation. What struck us was the consistent pattern of compromised credentials, many of which appeared to be unusually old yet still active. This led us to a publicly accessible Telegram channel where a user, identified only as "LogsDiller Cloud_Free_24," had uploaded a stealer log file on December 8th, 2025. The nature of the data within this log file immediately raised concerns regarding potential downstream impacts on our user base.

The uploaded stealer log file, originating from an unknown source but attributed to a Telegram user, contained 345 distinct records. These records primarily consist of email addresses and their corresponding plaintext passwords, alongside associated URLs. The data appears to be a direct dump from a credential-stealing malware infection, likely targeting user machines that had previously interacted with our services or visited related domains. The presence of plaintext passwords is a critical vulnerability, bypassing any hashing or salting mechanisms we might employ for stored credentials. The leak occurred on December 8th, 2025, and while the pwned count is relatively low at 345, the direct exposure of credentials represents a significant risk for account takeover and further lateral movement within our infrastructure if these credentials are reused across other platforms.

While this specific leak has not garnered widespread media attention, the methodology of distribution via Telegram channels is a recurring theme in recent cybersecurity reports. Threat intelligence firms have documented an increasing reliance on these platforms for the illicit sharing of stolen data, including stealer logs. For instance, a recent report by [Hypothetical Cybersecurity Firm X] highlighted the growing trend of malware operators and data brokers utilizing Telegram for rapid dissemination of compromised credentials, often targeting specific industries or user demographics. The ease of access and perceived anonymity of these platforms make them attractive for malicious actors seeking to monetize stolen information.