DAISY_CLOUD – 13 DECEMBER – 250 PCS uploaded by a Telegram User

We noticed a new data leak surfacing on December 13, 2022, originating from a Telegram user who uploaded a stealer log file. This particular incident, dubbed "DAISY_CLOUD," exposed a relatively modest but concerning set of 2988 records. What struck us was the straightforward nature of the exfiltration: a direct upload of a compromised endpoint's log file, rather than a sophisticated breach of a primary data store. The presence of plaintext passwords alongside email addresses and associated URLs immediately flags this as a high-priority incident for credential stuffing and further account compromise attempts.

The DAISY_CLOUD incident, discovered on December 13, 2022, involved a Telegram user uploading a stealer log file containing 2988 unique records. This log file appears to be the direct output of a malware infostealer operating on compromised endpoints. The exfiltrated data includes email addresses, plaintext passwords, and associated URLs, likely reflecting browsing history and login attempts. The source structure of the data suggests individual endpoint compromise, with the log file acting as a consolidated dump of stolen credentials and session information. The leak locations are primarily within Telegram channels, a common vector for the dissemination of such compromised data. The immediate implication is a significant risk of credential stuffing attacks against the exposed email addresses, potentially leading to unauthorized access to other services where these credentials are reused.

While DAISY_CLOUD itself did not generate widespread news coverage, the underlying threat of infostealer malware is a persistent concern within the cybersecurity landscape. Research from various security firms, such as Mandiant and CrowdStrike, consistently highlights the prevalence of infostealers like RedLine Stealer and Raccoon Stealer, which are often distributed through illicit forums and messaging platforms like Telegram. These tools are designed to harvest credentials, cookies, and system information from infected machines, making them a potent tool for initial access brokers and commodity cybercriminals. The OSINT surrounding this leak points to a typical dissemination pattern for such data, where logs are quickly shared among actors seeking to exploit the compromised credentials.