2,528 Stolen Logins From Mix TXTVALID Surface on Dark Web

HEROIC analysts identified a stealer log dataset circulating on Telegram in April 2026, exposing 2,528 records. The dataset, named Mix TXTVALID, contains email addresses, plaintext passwords, and the URLs where those credentials were captured. All records were pulled directly from infected devices by information-stealing malware before being packaged and shared publicly.

Why Plaintext Passwords and Email Pairs Create Immediate Risk

Every password in this dataset is stored in plaintext, meaning it requires no cracking or decryption before use. Combined with matching email addresses and the URLs the credentials were harvested from, attackers can identify exactly which services each victim uses and attempt the same credentials across other platforms immediately.

What the Mix TXTVALID Leak Exposed

• Email Addresses
• Plaintext Passwords
• URLs (login endpoints where credentials were captured)

How Credential Stuffing Turns This Leak Into Account Takeovers

Stealer log data like this is fed directly into credential stuffing tools that test email and password combinations against banking sites, streaming services, email providers, and social media platforms. Anyone who reuses a password across accounts faces the highest risk, as a single captured credential can unlock multiple services at once.

How Stealer Log Breaches Work

Stealer logs originate from malware quietly installed on a victim's computer, often through a malicious download or phishing link. Once running, the malware captures saved passwords from browsers, session cookies, and any credentials entered into websites. The collected data is bundled into structured log files and distributed through Telegram channels and cybercriminal forums. Unlike a traditional database breach targeting one company, stealer logs gather credentials from every site the victim accessed.

Check If Your Data Was Exposed

HEROIC's free breach scanner covers more than 400 billion exposed records across thousands of known breaches. Enter your email address to find out whether your credentials appear in this dataset or others like it, and take action before someone else does.