The Daisy Cloud Leak Exposed 4,917 U.S. Login Credentials

In May 2023, HEROIC analysts identified a stealer log file uploaded to Telegram by a user promoting a private channel called Daisy Cloud. The file, distributed under the label DAISY_CLOUD_23_MAY_0439_PCS, contained 4,917 records harvested from infected devices in the United States. Each record included an email address, a plaintext password, and the URL identifying which website the credentials were stolen from. The distribution format itself, embedding a Telegram channel invite in the file's name, reveals the commercial intent behind this operation: the attacker was using the data as bait to grow a paid credential-sharing community targeting American users.

Why This Is Dangerous

Most stealer log files are distributed through anonymous channels or sold privately. The DAISY_CLOUD naming convention tells a different story. The file name includes a direct call to join a private Telegram channel, suggesting this data was released as a sample to attract subscribers to a recurring credential feed. This is a commercialized operation, not a one-time opportunistic leak.

That context matters because it implies ongoing activity. If 4,917 records were released as a free sample, a larger paid operation almost certainly occured behind it. Victims whose data appears here may also be included in larger, non-public datasets that HEROIC analysts continualy monitor across the dark web.

What Was Exposed

• Email addresses tied to active U.S. online accounts
• Plaintext passwords with no encryption or hashing applied
• URLs identifying the exact websites each credential was stolen from
• Endpoint metadata from the infected machines that generated the logs

Why This Matters

When passwords appear in plaintext alongside the site they belong to, attackers skip all the technical steps that normally slow them down. There is no hash cracking, no brute-force guessing, no dictionary attack required. The credential is ready to use the moment it is read from the file.

Credential stuffing tools can test these pairs across hundreds of websites in automated batches. A single working login leads to account takeover, and from there the consequences escalate quickly: password resets for connected services, unauthorized financial transactions, identity theft, and phishing attacks crafted from the account history the attacker can now read. Many affected users definitly won't notice until weeks or months after the initial compromise.

How Stealer Logs Work

Stealer log malware targets the credential stores that browsers maintain to keep users logged in automatically. When installed on a device, usually through a phishing email, a fake software download, or a malicious browser extension, the malware reads every saved password, session cookie, and autofill entry it can access. It then packages that data into a structured log file and sends it to the attacker.

The "0439_PCS" notation in this file's name likely refers to 439 separate infected machines that contributed records to this single bundle. Each infected device can contribute credentials from dozens of different websites, which is why even a mid-size stealer log like this one can cause widespread account takeover incidents across completely unrelated platforms. The fact that this data was publically shared as a Telegram promotional sample means it was likely seen by thousands of bad actors.

Check If You Are Affected

HEROIC's breach scanner covers more than 400 billion exposed records and includes stealer log collections like the Daisy Cloud dataset. If your email address was in this file or any of the related private channel distributions, HEROIC can surface that for you.

Run a free scan at HEROIC's breach checker now. It takes under a minute and costs nothing. If your credentials are out there, the sooner you know, the sooner you can change your passwords and lock down your accounts.