RedlineLogsGroup 762logs Stealer Log Breach: 1,698 US Records

RedlineLogsGroup 762logs: A Yield Anomaly That Points to Recycled Data

RedlineLogsGroup released two stealer log batches on October 6, 2023, and the contrast between them is striking. The 640logs batch contains 21,625 records across 640 files -- a yield of 33.8 records per file, the highest of any Oct 6 operator. The 762logs batch, by contrast, contains only 1,698 records across 762 files -- a yield of just 2.2 records per file. This disparity, combined with an almost perfect statistical match to the prdscloud 762logs batch (also 762 files, 1,698 records, 2.2/file), raises a compelling posibility: both batches may represent the same underlying dataset distributed under different operator names.

RedlineLogsGroup 762logs (October 2023): Stealer Log Summary

• Records Exposed: 1,698
• Data Types: Email addresses, plaintext passwords, URLs
• Breach Type: Stealer log -- credentials harvested from malware-infected endpoints, not a direct database breach
• Password Type: Plaintext -- captured directly from browser sessions and credential stores by infostealer malware
• Country: United States
• Date Leaked: October 6, 2023

The 762-File Anomaly: Two Identical Batches, Two Operator Names

The prdscloud 762logs batch and the RedlineLogsGroup 762logs batch share three identical data points: exactly 762 source files, exactly 1,698 records, and a per-file yield of exactly 2.2 records/file. In a dataset of dozens of operators and hundreds of thousands of records, this level of statistical coincidance is extremely unlikely to be accidental. The most parsimonious explanation is dataset recycling -- a single underlying credential collection being redistributed under multiple operator names. This practice is widespread in Telegram stealer log markets, where resellers acquire logs from original harvesters and re-upload them to their own channels, sometimes with minor modifications to obscure the origin.

What 2.2 Records Per File Means

The 2.2 records/file yield in this batch is one of the lowest in the Oct 6 dataset. By comparison, RedlineLogsGroup's own 640logs batch achieves 33.8 records/file. This order-of-magnitude difference between the two batches from the same operator is not explainable by normal variation in endpoint quality. Clean machines with minimal saved credentials might yield 2-5 records per file in a genuine harvest. But the exact match between this batch and prdscloud's 762logs batch -- same file count, same record count, same yield, same date -- strongly suggests this is not a fresh harvest but a re-circulated collection that has been indexed twice in the dataset under differnt source names.

1,698 Records Still Represent Real Risk

Even if this batch is recycled data, the 1,698 credentials it contains are real. Each record represents a plaintext email-password-URL triplet harvested from a malware-infected endpoint. Whether these records appear once in the database or twice under different operator names, the affected individuals face the same risk: their saved browser passwords are in the hands of anyone who accessed either channel on October 6, 2023. Credential stuffing attacks don't discriminate between original and recycled data -- they process both equally. If your credentials appear in this batch, your account security depends on whether you've changed those passwords since the original harvest.

Check If Your Data Was Exposed

HEROIC's free breach scanner searches across more than 400 billion exposed records -- including RedlineLogsGroup 762logs and the prdscloud 762logs batch that appears to be its statistical twin. Run a free scan at HEROIC's breach scanner to find out if your credentials were exposed.