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Dolphin X Malware Threatens 300+ Apps with AI Profiling

Dolphin X Malware Threatens 300+ Apps with AI Profiling

Posted on July 23, 2026 By CWS

A newly surfaced Windows malware, named Dolphin X, is raising alarms in cybersecurity circles due to its ability to extract more than just browser passwords. The malware serves a dual purpose, functioning as both an information stealer and a remote access trojan, thus providing its operators with extensive control over compromised systems.

Comprehensive Credential Theft

Dolphin X targets a wide range of credentials, including those from browser logins, cryptocurrency wallets, password managers, and cloud-based command tools. This broad capability significantly elevates the risks for both individuals and businesses, especially when a compromised device contains access credentials for cloud services or production systems.

Researchers from Varonis identified Dolphin X while investigating an advertisement on an underground forum by a user known as “Kontraktnik.” Their analysis revealed that the malware not only engages in extensive credential theft but also employs AI-based profiling to assess the value of the infected systems.

Extensive Application Targeting

The malware is advertised as supporting over 300 application targets, making it a potent threat. It can collect data from nine browsers, more than 100 wallet extensions, 65 desktop wallets, 10 password managers, and 30 cloud command-line tools. This extensive reach allows attackers to access browser cookies, saved logins, and other sensitive information stored locally.

Developer workstations are particularly vulnerable, as they often contain project folders with valuable credentials. If these credentials are captured, they could potentially provide access to cloud consoles, internal code repositories, and production systems.

AI Profiling and Enhanced Threat

A notable feature of Dolphin X is its AI-driven profiling mechanism. This component evaluates application usage, browsing activities, and installed software to assign a risk score to each infected system. Operators receive a daily summary that helps them prioritize their focus on the most lucrative targets, such as developers or cryptocurrency holders.

Although the AI does not automate the malware’s operations, it enhances the efficiency of cybercriminals managing large-scale infections. This capability reflects the increasing use of AI in cybercrime, where it aids in victim triage rather than direct attacks.

Defensive Measures Against Dolphin X

Security experts advise minimizing the storage of sensitive information locally, particularly long-lived credentials. Any credential detected on an infected machine should be considered compromised and revoked or replaced without delay. Additionally, behavior-based monitoring is recommended over reliance on known file hashes, as this can more effectively detect suspicious activities.

Organizations and individuals can further protect themselves by avoiding unknown downloads, enforcing multi-factor authentication, and limiting credential permissions. These measures are becoming crucial as phishing attacks increasingly incorporate stealthy data-stealing techniques.

Indicators of compromise for Dolphin X include specific host and port details, domain names, and a SHA-256 hash for the operator panel client executable. These indicators are defanged to prevent accidental resolution and should be re-fanged only within controlled threat intelligence environments.

Cyber Security News Tags:AI profiling, credential theft, Cybercrime, Cybersecurity, Dolphin X, information stealer, Malware, remote access trojan, security threats, Varonis

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