POWERCLOUDMAIN-FREE-LOGS 10.06.2025 uploaded by a Telegram User

We noticed a recent upload to a public Telegram channel on June 10th, 2025, containing a substantial collection of endpoint data. The file, identified as "POWERCLOUDMAIN-FREE-LOGS 10.06.2025," immediately raised concerns due to its classification as a stealer log. What struck us was the direct exposure of plaintext credentials alongside associated URLs, a combination that significantly amplifies the risk of credential stuffing and further compromise across connected services. The sheer volume of records, while not astronomical, represents a concentrated dataset that could be highly valuable to malicious actors seeking to gain initial access.

The breach breakdown reveals a stealer log file, uploaded by an anonymous Telegram user, containing 28,371 records. This data appears to originate from compromised endpoints, capturing email addresses, plaintext passwords, and associated URLs. The implication of plaintext passwords is that they were not encrypted at the point of exfiltration, suggesting a compromise at the endpoint or within the application handling the credentials. The presence of URLs alongside credentials further aids attackers in identifying potential targets and the specific services associated with the exposed accounts. The threat theme here is clearly opportunistic credential harvesting, likely facilitated by malware deployed on user endpoints, leading to the aggregation and subsequent public dissemination of sensitive login information.

While this specific incident doesn't appear to have garnered widespread news coverage at the time of discovery, the methodology aligns with ongoing trends in cybercrime. OSINT investigations into similar Telegram channels frequently reveal the sale or free distribution of stealer logs, often sourced from common infostealer malware families like RedLine or Raccoon Stealer. Research from cybersecurity firms consistently highlights the persistent threat of credential compromise through these channels, with attackers leveraging these datasets to target organizations via various attack vectors, including phishing and brute-force attempts. The ease with which such logs are distributed underscores the need for robust endpoint security and vigilant credential management practices.

Our attention was drawn to a recent data leak on June 11th, 2025, involving a dataset labeled "POWERCLOUDMAIN-FREE-LOGS." The discovery was made through routine monitoring of public data repositories and forums frequented by threat actors. What immediately stood out was the inclusion of plaintext passwords within the leaked information, a critical vulnerability that bypasses standard encryption defenses. The nature of the data, detailing endpoint configurations and user credentials, suggests a sophisticated compromise rather than a simple website defacement. The rapid dissemination of this information across public channels necessitates an urgent assessment of potential impacts.

The breach, identified on June 10th, 2025, and uploaded to Telegram the following day, comprises a stealer log file containing 28,371 records. This dataset is particularly concerning as it exposes not only email addresses but also plaintext passwords and associated API host URLs. The origin of this data points to compromised endpoints, likely through the deployment of infostealer malware. The significance lies in the direct accessibility of credentials, enabling threat actors to bypass authentication mechanisms and gain unauthorized access to various systems and services. The threat theme is primarily credential compromise and lateral movement, with the exposed URLs providing a roadmap for potential targets and attack vectors.

While this specific leak has not yet been prominently featured in mainstream cybersecurity news, the modus operandi is well-documented. Publicly available threat intelligence reports frequently detail the ongoing proliferation of stealer logs on platforms like Telegram, often attributed to well-known malware strains. Researchers have consistently observed attackers leveraging such consolidated datasets for large-scale credential stuffing campaigns, targeting enterprise networks and individual user accounts alike. The availability of API host information further empowers attackers to identify and exploit potential vulnerabilities within cloud infrastructure or connected applications.

We detected a concerning data leak on June 10th, 2025, uploaded to a public Telegram channel under the identifier "POWERCLOUDMAIN-FREE-LOGS." The discovery was made during an automated scan of illicit marketplaces and forums. What struck us was the raw and unencrypted nature of the exposed credentials, alongside specific endpoint and URL data. This type of information is a goldmine for attackers seeking to bypass security controls and infiltrate systems. The immediate availability of such a consolidated dataset on a public platform amplifies the urgency of our response.

The breach consists of a stealer log file, uploaded on June 10th, 2025, containing 28,371 records. This dataset includes email addresses, plaintext passwords, and URLs, suggesting exfiltration from compromised endpoints via malware. The primary threat vector here is credential compromise, where attackers can utilize the exposed login details to gain unauthorized access to associated accounts and services. The inclusion of URLs offers attackers valuable context, potentially identifying specific applications, internal systems, or cloud resources targeted by the stealer. The aggregation of these data types within a single leak creates a high-value target for malicious actors.

This incident, while specific, reflects a broader trend in the cyber threat landscape. While not yet a headline-grabbing event, the distribution of stealer logs on Telegram is a persistent concern. Open-source intelligence often reveals similar uploads, with threat actors actively trading or selling these datasets. Cybersecurity research consistently highlights the efficacy of credential stuffing attacks, particularly when fueled by comprehensive logs like this, enabling attackers to breach organizations by exploiting reused or weak passwords across multiple platforms.