Our Analysts Found the RainLogsFree_10 Stealer Log Circulating in a Telegram Channel

HEROIC analysts identified a stealer log dataset labeled RainLogsFree_10 that was uploaded to a public Telegram channel on November 29, 2022. The dataset exposed 3,706 records containing email addresses, plaintext passwords, and associated URLs representing endpoints, API hosts, and login pages. Unlike traditional database breaches where a single organization is compromised, stealer logs aggregate credentials harvested from infected devices across many different services and websites, making this type of exposure particularly dangerous for affected individuals.

Why the RainLogsFree_10 Stealer Log Is Dangerous

Stealer logs are among the most actionable types of leaked credential data available to threat actors. Each record in the RainLogsFree_10 dataset typically represents a working credential pair tied to a specific website or service, harvested directly from a victim's browser or password manager by malware running on their device. This means the email-password combinations in this log were verified as working at the time of infection. The passwords are stored in plaintext because the stealer malware captured them before any encryption was applied. Any attacker who downloads this log file can immediatly attempt to log into the associated accounts without any additional cracking or processing. The Telegram distribution method also means the data was freely accessible to anyone who happened to be in that channel.

What Was Exposed

• Email Addresses
• Plaintext Password
• URLs (endpoints, login pages, API hosts)

Why This Matters

Stealer log datasets are increasingly the primary source material for credential stuffing attacks and account takeovers. Because the credentials in RainLogsFree_10 were captured from real infected devices, they represent actual user sessions rather than database records that may be outdated. The inclusion of URLs alongside email and password pairs means an attacker knows exactly which site each credential belongs to, eliminating the guesswork involved in testing credentials across multiple platforms. This level of specificity makes stealer logs far more efficient for targeted account takeovers than generic combolists. The fact that this particular log was labeled as a free release on Telegram suggests it may be part of a series, with the number 10 in the filename indicating prior installments, each of which may have contained seperate sets of victim credentials. Such releases are often used to build reputation in underground communities before selling premium datasets.

How Stealer Log Breaches Work

Stealer log breaches begin when malware, typically an information stealer such as RedLine, Raccoon, or Vidar, is installed on a victim's device. This most commonly occures through phishing emails, malicious downloads disguised as software cracks or game mods, or drive-by downloads from compromised websites. Once active, the stealer silently extracts saved passwords from browsers, session cookies, cryptocurrency wallets, and any credentials typed or autofilled during the infection window. The harvested data is transmitted to an attacker-controlled server and compiled into log files organized by victim device. These logs are then distributed on Telegram channels, hacking forums, or sold in private markets. The RainLogsFree_10 release follows this exact pattern, with the Telegram distribution suggesting either a new threat actor building credibility or an established actor offloading older data.

Check If You Were Affected

Because stealer logs capture credentials from infected devices rather than from a single breached organization, any email address you use regularly could appear in this dataset. Use the HEROIC free breach scanner to check your email address against more than 400 billion compromised records, including stealer log datasets. If your email appears, treat all saved passwords on your devices as potentially compromised, run a full antivirus scan, and enable two-factor authentication on every account that supports it.