LogsDiller Cloud_Free_250_103 uploaded by a Telegram User

We noticed a concerning upload on a public Telegram channel on December 8th, 2025, which contained a stealer log file. What struck us immediately was the unencrypted nature of the credentials within the dataset, a stark indicator of compromised endpoint security. The log, identified as "LogsDiller Cloud_Free_250_103," appears to originate from a user leveraging Telegram for data exfiltration. The relatively small pwned count of 3,263 records belies the potential impact given the sensitivity of the exposed information, suggesting a targeted or limited-scope compromise rather than a widespread breach.

The breach breakdown reveals a stealer log file, uploaded by an unidentified Telegram user, exposing 3,263 records. The data types include email addresses, plaintext passwords, and associated URLs. The description indicates the log contained information pertaining to endpoints, email addresses, API hosts, and passwords. This type of data exposure is particularly insidious because it directly provides threat actors with the keys to unlock further access. The presence of plaintext passwords is a critical vulnerability, bypassing any hashing or salting mechanisms that might have been in place. The source structure suggests a compromise of an endpoint where a credential stealer malware was active, capturing and exfiltrating the logged information to a designated Telegram channel.

At the time of analysis, there was no immediate widespread news coverage or significant OSINT chatter directly linking this specific Telegram upload to a larger, publicly disclosed incident. However, the proliferation of credential stealers remains a persistent theme in cybersecurity research, with numerous reports detailing their effectiveness in compromising user accounts and facilitating follow-on attacks. Organizations like Mandiant and CrowdStrike frequently publish advisories on the evolving tactics, techniques, and procedures (TTPs) employed by threat actors utilizing such malware. The methodology of using Telegram for data exfiltration is also well-documented, offering a readily accessible and often anonymized channel for data dumps.

Our attention was drawn to a discovery on December 10th, 2025, detailing a data leak originating from a source labeled "LogsDiller Cloud_Free_250_103," uploaded by a Telegram user. The immediate red flag was the inclusion of plaintext passwords within the dataset, a critical security lapse. The nature of the upload, a stealer log, suggests a direct compromise of endpoint security rather than a network-level intrusion. The limited pwned count of 3,263 records, while seemingly small, represents a significant risk due to the direct access credentials provided to malicious actors.

The compromised data, totaling 3,263 records, consists of email addresses, plaintext passwords, and associated URLs. The description clarifies that the stealer log captured endpoint information, email addresses, API host details, and passwords. This direct exposure of credentials is highly problematic, as it bypasses standard security measures like password complexity or multi-factor authentication for initial access. The source structure points to a compromised endpoint where a credential-stealing malware was active, systematically collecting and transmitting this sensitive information to a Telegram channel. The implications are severe, enabling direct account takeovers and potential lateral movement within affected networks.

While this specific Telegram upload hasn't garnered significant mainstream media attention, the underlying threat of credential stealers is a constant concern. Security firms regularly publish threat intelligence reports highlighting the prevalence of such malware and its impact on enterprise security. For instance, recent analyses from Palo Alto Networks have detailed the increasing sophistication of stealer malware families and their preferred exfiltration channels, including instant messaging platforms like Telegram. This incident underscores the ongoing need for robust endpoint detection and response (EDR) capabilities to identify and neutralize such threats before data exfiltration can occur.

Upon reviewing an incident reported on December 9th, 2025, we identified a data leak originating from a Telegram user who uploaded a file named "LogsDiller Cloud_Free_250_103." What immediately raised concern was the presence of unencrypted passwords within the uploaded data. The context of a stealer log implies a direct compromise of end-user devices or systems where malware has actively harvested credentials. The pwned count of 3,263 records, while not exceptionally large, represents a concentrated collection of sensitive information that could be highly valuable to attackers.

The breach involved a stealer log file, uploaded to Telegram, containing 3,263 records. The exposed data types are email addresses, plaintext passwords, and URLs. The description indicates the log captured endpoint details, email addresses, API host information, and passwords. The significance of this breach lies in the direct provision of authentication credentials to threat actors. The absence of encryption for passwords means these can be used immediately for account compromise. The source structure suggests a scenario where malware on an endpoint systematically collected these credentials and transmitted them to the Telegram upload point.

There is no immediate indication of this specific leak being widely reported in major news outlets. However, the broader landscape of credential stuffing attacks and the use of malware to harvest credentials is a well-documented phenomenon. Research from cybersecurity firms like Sophos consistently highlights the persistent threat posed by infostealer malware and the effectiveness of Telegram as a low-cost, easily accessible platform for data exfiltration. The tactics observed in this incident align with common TTPs documented in threat intelligence reports concerning commodity malware.