DeepLoad Malware Uses ClickFix and WMI Persistence to Steal Browser Credentials

Cybercriminals are constantly modifying their tools, and the latest campaign discovered by researchers from ReliaQuest serves as a brutal reminder that traditional antivirus scanners are increasingly losing out to algorithmic precision. The emergence of DeepLoad, a brand-new malware loader, sheds light on the evolution of masking techniques. This tool, utilizing the ClickFix mechanism, not only effectively infects systems but does so in a manner that is nearly invisible to static analysis systems, making it one of the most interesting and dangerous threats of recent months.

The key to DeepLoad's success is the combination of social engineering with advanced software engineering. Instead of relying on classic email attachments, attackers focus on user interaction that mimics a solution to a technical problem. This approach ensures that the victim themselves, fully consciously, follows instructions leading to the complete compromise of the system. In a world where cybersecurity education is becoming standard, DeepLoad shows that properly prepared manipulation can still break through even the tightest barriers of human vigilance.

ClickFix as the Foundation for Effective Infection

The ClickFix tactic, on which DeepLoad distribution is based, is a sophisticated form of social engineering. The user lands on a crafted website that displays a fake error message—for example, a problem with font display or a browser certificate error. The solution suggested by the site is to copy and paste a "fix" directly into the operating system terminal (PowerShell or CMD). In reality, the user copies a malicious script that initiates the download of the actual DeepLoad payload.

What sets this campaign apart is the fact that DeepLoad likely utilizes AI-assisted obfuscation. Thanks to this, the malware code changes its structure to avoid detection by signatures known to antivirus systems. As ReliaQuest researcher Thassanai notes, the process injection techniques used by the loader allow it to operate inside trusted system processes, making it nearly impossible to detect with simple file activity monitoring tools.

• Use of ClickFix to bypass spam filters.
• Dynamic code obfuscation hindering static analysis.
• Injection of malicious code into legitimate Windows processes.
• Immediate initiation of data theft procedures upon execution.

Persistence via WMI and Immediate Credential Theft

One of the most concerning features of DeepLoad is its ability to persist in the system even after a computer restart. It utilizes WMI (Windows Management Instrumentation) Persistence for this purpose. By creating custom event filters and consumers within WMI, the malware can launch automatically when specific system conditions are met. This technique is extremely difficult to remove because it does not rely on simple Autorun registry keys, which are routinely checked by administrators.

As soon as the loader is activated, it immediately proceeds to steal credentials from web browsers. Importantly, this process is separated from the main loader module. This means that even if security systems manage to block the main DeepLoad process during its operation, the data-stealing module may have already succeeded in capturing passwords, cookies, and browser sessions. Attackers primarily target login data for cloud services, opening the way for further attacks on corporate infrastructure.

The effectiveness of DeepLoad in session hijacking is particularly dangerous in the era of widespread two-factor authentication (2FA). By taking over active session tokens, attackers can bypass the need for a second factor, gaining direct access to the victim's account as if they were using their own device. This makes credential theft a starting point for much broader espionage or financial operations.

Zero Trust Architecture as a Response to the Threat

In the face of threats like DeepLoad, traditional VPN-based security approaches are becoming insufficient. A VPN inherently allows lateral movement once network access is gained, which, in the case of a single workstation being infected by a loader, can lead to the paralysis of the entire organization. A solution gaining importance is ZTNA (Zero Trust Network Access). This model assumes that no user or device is trustworthy by default, regardless of whether they are inside or outside the corporate network.

"A modern approach to secure access must eliminate lateral movement by directly connecting users to applications, rather than the entire network."

Implementing ZTNA allows for access segmentation at the application level. Even if DeepLoad manages to steal user credentials, the attacker will have limited access only to those resources for which the victim had specific permissions. Zero Trust systems constantly verify identity, device context, and endpoint security status, which drastically shortens the lifespan of stolen sessions and complicates the exploitation of hijacked data.

A New Era of Malware

The emergence of DeepLoad is a signal that malware creators are increasingly turning to automation and artificial intelligence techniques to stay ahead of defense systems. The use of ClickFix shows that the human remains the weakest link, and the loader's technical excellence in WMI Persistence proves that once an intruder is let in, they are extremely difficult to remove. Organizations must stop relying on static protection and start investing in advanced behavioral analytics and trust-less access models.

The evolution of DeepLoad suggests that in the near future, we will see more loaders that not only steal data but serve as a "beachhead" for more complex operations like ransomware. Crucial for the security of global enterprises will be the move away from outdated VPN solutions toward comprehensive ZTNA strategies, which are capable of neutralizing the effects of credential theft before they escalate into a full-scale data breach incident. Effective defense against DeepLoad is no longer just about blocking files, but about preventing an attacker from utilizing the information gained within the company structure.