11.22 – LOGS_CENTER_NEW uploaded by a Telegram User

We noticed a significant influx of credentials originating from a stealer log file, uploaded to a public Telegram channel on November 22, 2025. What struck us immediately was the raw, unencrypted nature of the passwords within the dataset, a clear indicator of compromised endpoint security rather than a direct database exfiltration. The sheer volume of unique email addresses and associated plaintext passwords suggests a widespread compromise affecting a substantial number of end-users, potentially impacting multiple organizations if these credentials are reused. The presence of API host information further complicates the potential attack surface, hinting at the possibility of unauthorized access to integrated services.

The breach, identified as a stealer log, exposed 89,303 records. This dataset contained a combination of email addresses, plaintext passwords, and associated URLs. The logs appear to have been collected from compromised endpoints, capturing user credentials and browsing activity. The primary threat theme here is credential stuffing and account takeover, exacerbated by the direct exposure of passwords. The source structure indicates a collection of individual endpoint compromises, rather than a single, large-scale database breach. The leak location, a public Telegram channel, signifies an intentional dissemination of this data, likely for sale or further exploitation by malicious actors.

While this specific incident may not have garnered widespread mainstream news coverage, the methodology aligns with prevalent threat actor tactics documented by various cybersecurity research firms. The use of information-stealing malware to harvest credentials from endpoints is a persistent and evolving threat. Organizations like Mandiant and CrowdStrike have consistently reported on the proliferation of such malware families and the subsequent leakage of stolen data on dark web forums and public channels. The exposure of plaintext passwords, even from a relatively smaller dataset like this, remains a critical concern due to the common practice of password reuse across different services, potentially leading to cascading compromises.

Our attention was drawn to a recent surge in credential stuffing attempts detected across several of our monitored platforms, correlating with the discovery of a large data dump on November 22, 2025. This dump, originating from a source identified as "LOGS_CENTER_NEW" on Telegram, presented a concerning collection of user data. What immediately stood out was the inclusion of API host information alongside user credentials, suggesting a potential for deeper system access beyond mere account compromise. The raw format of the exposed data indicated a direct capture from infected systems, bypassing traditional database security layers.

The breach, classified as a stealer log, encompasses 89,303 records. The exposed data types include email addresses, plaintext passwords, and URLs. The logs appear to have been aggregated from multiple compromised endpoints, each contributing a subset of user information. The significance of this leak lies in the direct exposure of authentication material, facilitating immediate account takeovers. The threat theme is primarily focused on credential harvesting and subsequent exploitation. The leak originated from a public Telegram channel, indicating a deliberate act of data distribution, likely to facilitate further criminal activity.

While specific news reports on this particular Telegram upload are scarce, the underlying modus operandi is well-documented. Cybersecurity intelligence reports from companies like Cybereason and Recorded Future frequently detail the ongoing threat posed by information stealers and the subsequent availability of harvested credentials on various online platforms. The practice of attackers leveraging these logs for targeted attacks, including phishing campaigns and unauthorized access to corporate resources, remains a consistent concern within the threat landscape.

We observed an unusual pattern of failed login attempts originating from a diverse range of IP addresses, which led us to investigate a data leak published on November 22, 2025. The source, a Telegram user identified as "LOGS_CENTER_NEW," uploaded a file containing what appeared to be raw endpoint logs. What was particularly alarming was the inclusion of API keys and associated credentials, suggesting a potential for bypassing application-level security controls. The sheer volume and variety of email addresses present pointed towards a broad, opportunistic compromise rather than a highly targeted attack.

This incident, categorized as a stealer log breach, has exposed 89,303 records. The data includes email addresses, plaintext passwords, and URLs, with a notable inclusion of API host information. The source structure suggests data aggregated from numerous individual endpoint compromises, likely through the deployment of information-stealing malware. The primary threat vector is the direct acquisition of credentials and authentication tokens, enabling unauthorized access to various online services and potentially internal systems. The leak location, a public Telegram channel, amplifies the risk by making the data readily accessible to a wide array of malicious actors.

This type of data leak, while not always making front-page news, is a recurring theme in cybersecurity. Research from companies like Palo Alto Networks has consistently highlighted the effectiveness of information stealers in harvesting sensitive data from end-user devices. The presence of API keys in such logs is particularly concerning, as it can grant attackers programmatic access to services, bypassing traditional user authentication mechanisms. The public dissemination of such data on platforms like Telegram underscores the ease with which threat actors can acquire tools and intelligence for their operations.