Telegram Threat Actor Exposes BHF FREE Data: 30,335 Records at Risk

On April 9, 2024, a Telegram threat actor uploaded a stealer log file labeled "BHF FREE," putting 30,335 records of compromised user credentials into public circulation. The exposed data included plaintext passwords, email addresses, and API host URLs, all pulled directly from infected endpoints in the United States. Anyone whose credentials were part of this dump should adress their account security immediately, as the data has likely been accessed by multiple threat actors by now.

Why This Is Dangerous

The "BHF FREE" label is a common tactic used in underground communities where threat actors give away stolen data for free to build credibility or attract followers to paid channels. The word "free" in the name tells you this was distributed widely and without restriction, meaning the data was adressed to anyone who wanted it, not just a single buyer.

Plaintext passwords in a stealer log are the worst-case scenario for breach victims. There is no cracking required, no rainbow table lookups, nothing to slow the attacker down. They open the file and log in. This makes the time between exposure and account compromise extremely short, often a matter of hours.

API host URLs in this dataset are an especially concerning element. These aren't just website logins, they point to backend services, developer environments, and cloud APIs. In the hands of a skilled attacker, this kind of access can lead to data exfiltration, lateral movement, or full account compromise on platforms connected to those APIs.

What Was Exposed

• Email addresses
• Plaintext passwords
• API host URLs and endpoint identifiers
• Website login URLs linked to compromised credentials
• Browser-autofilled usernames and account data
• Session cookies and authentication tokens
• Device and OS identifiers from infected endpoints

Why This Matters

Stealer log dumps distributed freely on Telegram are particularly hard to contain once they are out. Unlike a paid data sale where the buyer wants to keep it exclusive, a free drop gets copied, reshared, and archived across dozens of channels and forums within days. By the time researchers and security teams become aware of it, the data has allready spread far beyond any single channel.

For users whose credentials appeared in the BHF FREE dump, the risk isn't limited to the accounts directly compromised by the stealer. Password reuse across platforms means a single exposed credential set could open up email accounts, banking portals, social media, and work systems. The ripple effect from one stealer log can be enormous if affected users don't take action quickly.

How Stealer Log Works

Infostealer malware is spread through phishing links, fake cracked software downloads, malicious email attachments, and compromised websites that silently push drive-by downloads. When a victim runs the infected file or visits the malicious page, the malware installs quietly in the background and begins its harvest immediately, targeting browser-stored credentials, saved passwords, and active session cookies.

The collected data is packaged into a structured log and sent to the attacker's command and control server, often within minutes of infection. The threat actor can then sort, filter, and organize the logs by credential type, domain, or country before deciding to sell them or, as occured here, dump them for free on Telegram under a name like "BHF FREE."

What makes this attack vector so effective is that it bypasses server-side security entirely. The service being logged into never sees anything unusual, a legitimate user credential is being used. Detection has to happen at the endpoint level or through credential monitoring services that flag when your email and password appear in a known breach dataset.

Check If You Were Affected

If you're concerned your email or password was part of the BHF FREE stealer log dump, run a check right now using HEROIC's free breach checker at heroic.com. It searches across thousands of known breach datasets so you can find out exactly where your data has appeared and what to do about it.