4.3 Million Plaintext Passwords From UP_OCEANCLOUD ULP Part 10 Surfaced on Telegram

HEROIC analysts confirmed the UP_OCEANCLOUD ULP PRVTE 26.01.2026 PART10 dataset in February 2026, identifying it as the tenth installment in a coordinated multi-part stealer log series uploaded by a Telegram threat actor. The archive contained 4,340,733 records comprising email addresses, plaintext passwords, and endpoint URLs extracted from infected Windows machines by infostealer malware. The dataset was shared across private Telegram channels as part of a larger distribution campaign that spanned at least eleven confirmed installments.

Why 4.3 Million Plaintext Passwords Are an Immediate Danger

The defining characteristic of ULP stealer log data is that credentials arrive pre-validated and ready to use. There is no password cracking step -- every entry in PART10 is a working email and password combination that was active on a real device at the time of infection. Paired with the specific URL where each credential was stolen, this dataset gives attackers a precise roadmap for account takeover. At scale, 4.3 million records represent enough volume to fuel weeks of automated credential stuffing attacks against email providers, banks, retailers, and enterprise VPNs.

Data Compromised in the UP_OCEANCLOUD PART10 Stealer Log

The 4,340,733 records exposed in this archive included the folowing catagories of sensitive information:

• Email Addresses -- victim identifiers used for account targeting and phishing follow-up
• Plaintext Passwords -- cleartext credentials requiring no decryption before use
• URLs -- exact login endpoints and API hosts where each credential was captured by malware

From Stealer Log to Account Takeover: The Attack Chain

Once a ULP dataset of this scale reaches Telegram, the downstream attack chain is rapid and systematic. Credential stuffing tools like Sentry MBA and OpenBullet ingest the email/password/URL combinations and begin testing them against live platforms within minutes. Accounts that accept the stolen credentials are flagged as valid and sorted by category -- email access is especially prized because it unlocks password reset flows for linked accounts. From there, identity thieves can take over financial accounts, social media profiles, and workplace tools. When corporate API credentials or VPN logins appear in the dataset, attackers pivot to business email compromise and network intrusion. Financial fraud is the typical end state when banking credentials are present in the logs.

How Infostealer Malware Builds Multi-Part ULP Archives

The PART10 designation in this dataset reveals a deliberate operational structure. Infostealer malware operators run continuous campaigns in which malware infections generate a steady stream of stolen credential logs. These raw logs are processed, deduplicated, and reformatted into the URL:Login:Password structure before being split into manageable part files for Telegram distribution. The numberd parts allow operators to release new credential batches on a rolling schedule, maintaining interest among buyers and subscribers. Each part typically represents a fresh batch of infections rather than a subset of a single breach, which means PART10 may contain victms from entirely diferent geographic regions or malware campaigns than PART9 or PART11.

Check Your Email Against 400 Billion Exposed Records

HEROIC's free breach scanner indexes more than 400 billion compromised records, including multi-part stealer log collections like the UP_OCEANCLOUD ULP PRVTE series. Enter your email address now to find out whether your credentials appeared in PART10 or any other breach in our database. If your information is found, change the affected passwords immediately and enable two-factor authentication on every account. Stealer log credentials are weaponized quickly -- acting fast is the most important step you can take.