Dark Web Intel: 8,390 Plaintext Credentials From the Andriana CloudFree Logs Dump

On October 16, 2023, dark web monitoring analysts detected a stealer log file being distributed across Telegram channels under the name ANDRIANA CLOUDFREE LOGS. The file contained 8,390 records harvested from infected user devices, each entry holding an email address, a plaintext password, and associated URLs captured at the moment of infection. This type of credential dump is a staple of underground trading communities, where logs are either sold in bulk to organised criminal groups or posted freely as a form of currency to build reputation on dark web forums. The scale of this particular dataset -- 8,390 complete credential sets -- places it firmly in the category of logs that attract sustained attention from multiple threat actors over an extended period.

Why This Is Dangerous

Credential dumps distributed through Telegram and dark web channels are immediately weaponised. Threat actors purchase or download these logs and run them through automated credential stuffing tools that attempt logins across hundreds of popular platforms at once. Because the passwords in the Andriana CloudFree Logs dump are plaintext, there is no barrier between an attacker and full account access. The associated URLs provide a shortlist of exactly which services each victim uses, allowing attackers to prioritise the highest-value accounts -- banking portals, email providers, and cloud storage platforms -- before moving on to less critical targets. Within hours of a Telegram post, a credential log of this size can be in the hands of dozens of separate threat actors worldwide.

What Was Exposed in the Andriana CloudFree Logs Leak

• Email Addresses
• Plaintext Passwords
• URLs (services actively accessed from compromised devices at time of infection)

Why This Matters

Eight thousand three hundred and ninety exposed records means 8,390 real people whose credentials are now circulating freely across underground networks. Once a stealer log is posted to Telegram, it is downloaded, mirrored, and redistributed -- it cannot be unpublished or recalled. Victims in this dataset face ongoing risk of account takeover, credential stuffing attacks across unrelated platforms, and identity fraud. The seperate danger of having browsing URLs included in the log means attackers can construct detailed profiles of each victim's online behaviour, making social engineering and targeted phishing far more effective. For anyone whose credentials appeard in this file, the window to change passwords and secure accounts narrowed the moment the file was posted.

How Stealer Logs Work

A stealer log originates from infostealer malware -- malicious software installed on a victim's device, typically without any visible sign of infection. The malware is most commonly distributed through phishing emails with malicious attachments, fake cracked software downloads, or compromised advertising networks. Once running, it systematically extracts saved passwords from browsers, captures form inputs on login pages, reads authentication cookies, and records clipboard contents. This data is then bundled into a structured log file and transmitted back to the attacker's command-and-control server. The logs are then either sold on dark web markets, traded in private Telegram groups, or posted publicly to establish credibility. The Andriana CloudFree Logs dataset follows this exact pipeline: malware infection on user devices, data extraction, and eventual publication on a Telegram channel where it was picked up by security researchers and threat intelligence analysts monitoring for new credential dumps.

Check If You Are Affected

HEROIC monitors dark web forums, Telegram channels, and underground markets to build one of the world's largest breach databases -- over 400 billion exposed records and growing. Use HEROIC's free breach scanner at HEROIC.com to check whether your email address or passwords were part of the Andriana CloudFree Logs leak or any of the thousands of other breaches indexed in the system. Early detection is the only reliable defence against credential-based attacks.