The AUGUST OCTOPUS Stealer Log: 5,922 Passwords Exposed on Telegram

HEROIC Analysts Uncovered 5,922 Stolen Records From an August 2023 Telegram Stealer Log

In August 2023, a Telegram user uploaded a stealer log archive containing 5,922 records pulled from compromised endpoints. HEROIC's DarkHive intelligence system detected and indexed this data as part of its continuous dark web monitoring operation. The exposed records include email addresses, plaintext passwords, and URLs, making this a direct threat to anyone whose credentials were harvested by the malware behind it.

The dataset is catalogued as part of the AUGUST - OCTOPUS stealer log series, a collection of 439 pieces uploaded through a Telegram channel. Stealer log dumps of this kind are often assembled from malware infections targeting everyday users and small businesses alike.

What an Attacker Can Do With Plaintext Passwords and Email Addresses

When a breach exposes plaintext passwords, the damage is immediate. There is no cracking required. An attacker can take a list of email-and-password pairs and begin testing them against popular services within minutes. Banking portals, email accounts, cloud storage, and social media are all common targets.

Because most people reuse passwords across multiple sites, a single stolen credential can unlock several accounts at once. The URLs included in this stealer log also reveal which specific sites the victim was logged into at the time of infection, giving attackers a ready-made target list.

What Was Exposed in the AUGUST - OCTOPUS Stealer Log

• Email addresses
• Plaintext passwords (unencrypted, immediately usable)
• URLs (revealing which sites and services were accessed)

This combination is particularly dangerous because it eliminates all the guesswork for a would-be attacker. Everything needed for account takeover is bundled together in one record.

Why This Matters: Credential Stuffing, Account Takeover, and Beyond

Credential stuffing attacks are the direct consequence of breaches like this one. Automated tools load stolen email-and-password pairs and fire them at hundreds of websites simultaneously. Even if only a small fraction succeed, the scale of these operations means thousands of accounts can be compromised in a single campaign.

The inclusion of URLs in this dataset makes account takeover even more likely. Attackers can prioritize high-value targets, such as financial platforms and business logins, based on the exact sites each victim visited. Identity theft and financial fraud are real outcomes when this kind of data circulates on Telegram and dark web forums.

How Stealer Logs Work: The Malware Behind the Data

A stealer log is produced by a category of malware known as an information stealer. These programs are often delivered through phishing emails, cracked software downloads, or malicious browser extensions. Once installed on a victim's device, the malware silently harvests credentials stored in browsers, saved passwords, cookies, and active session tokens.

The collected data is then packaged into log files and sent back to the attacker. These logs are frequently sold or shared in bulk on Telegram channels and dark web marketplaces. The AUGUST - OCTOPUS dataset is one such collection, and the fact that it was freely uploaded suggests the attacker intended wide distribution rather than targeted exploitation. Seperate from targeted hacks, stealer logs represent a passive, scalable threat that can affect anyone running a compromised device without ever knowing it occured.

Check If You Are Affected by This Stealer Log Breach

If your email address or passwords were stored in a browser or application on a device that was ever infected with information-stealing malware, your credentials may have beleived to be safe when they were not. HEROIC's free breach scanner searches across more than 400 billion records, including stealer log data like this dataset, to tell you exactly what information about you has been exposed.

Scan your email address for free at HEROIC to see if your data appeared in this breach or any of the thousands of other datasets in the DarkHive database. Early detection is the best defense against credential stuffing and account takeover attacks.