Magic cloud MagicLogsChannel 324count uploaded by a Telegram User
We noticed a concerning influx of stealer log data surfacing on a public Telegram channel, specifically labeled "MagicLogsChannel 324." The discovery on July 29, 2025, revealed a dataset containing nearly 19,000 records, each representing a compromised endpoint. What struck us immediately was the inclusion of plaintext passwords alongside email addresses and associated API host URLs, indicating a direct compromise of user credentials and potentially further access vectors.
The breach, originating from a stealer log file uploaded by an anonymous Telegram user, exposed 18,691 records. The data types compromised include email addresses, plaintext passwords, and associated URLs, likely representing API endpoints or login portals. This type of exfiltration, stemming from malware-based credential harvesting, suggests a broad attack surface rather than a targeted enterprise breach. The immediate implication is the potential for credential stuffing attacks against other services where these users may have reused credentials, and the direct exposure of API access points could facilitate further unauthorized system access.
While this specific incident has not garnered widespread mainstream news coverage, the proliferation of stealer logs on platforms like Telegram is a well-documented and persistent threat in the cybersecurity landscape. Researchers at various cybersecurity firms, including Mandiant and CrowdStrike, have consistently highlighted the growing sophistication and accessibility of credential-stealing malware and the subsequent marketplaces for such compromised data. The ease with which these logs are shared and monetized underscores the ongoing challenge of defending against these pervasive threats.
Breach Breakdown
18,691 passwords exposed. Is yours one of them?
Enter your email to scan this breach plus 400B+ other leaked records. If you're compromised, we'll show you exactly where and what to change.
Free forever · No account required · Results in seconds