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DeepLoad Malware Uses AI Code and ClickFix to Evade Security

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A New Breed of Stealthy Malware Emerges

Cybersecurity researchers have sounded the alarm on a sophisticated new threat. Dubbed DeepLoad, this malware campaign is actively targeting businesses by stealing user credentials and establishing a stubborn foothold on infected networks. What makes it particularly concerning is its dual-threat approach: it uses clever social engineering to get in the door and then deploys AI-assisted techniques to hide in plain sight.

First spotted on dark web forums in February, DeepLoad initially focused on pilfering cryptocurrency wallets. Its ambitions have since expanded. The malware now systematically hunts for enterprise usernames and passwords, providing attackers with a direct line into corporate networks.

The ClickFix Delivery: A Social Engineering Trap

How does DeepLoad get onto a system in the first place? The answer lies in a technique called ClickFix. This isn’t a complex software exploit. It’s a psychological trick.

Attackers lure users to a malicious website, often through a compromised site or a poisoned search engine result. Imagine an employee researching a work-related topic. They click a link that seems legitimate. The site then instructs them to run a specific command, like pasting text into a PowerShell window or a system dialog box. The user, thinking they’re fixing an error or downloading necessary software, unknowingly executes the malware themselves.

Researchers believe this is the most likely infection vector. It bypasses traditional file-based defenses because the user is the one initiating the malicious action. The barrier to entry isn’t a software vulnerability; it’s human trust.

AI-Powered Obfuscation and Hidden Persistence

Once executed, DeepLoad reveals its second, more technically advanced layer. The core malicious payload is buried under a mountain of meaningless code. We’re talking about thousands of lines of random variable assignments and redundant functions that serve no purpose other than to confuse security scanners.

The scale and consistency of this obfuscation are telltale signs. “The sheer volume of padding likely rules out a human author,” noted analysts from ReliaQuest, who first detailed the campaign. This points directly to the use of generative AI. What might have taken a human coder days to manually write and test can now be generated in an afternoon. This isn’t just about saving time; it’s about creating a dynamic threat.

The AI can be prompted to generate new, unique obfuscation layers for each attack wave. This means the malware’s digital fingerprint can change constantly, rendering static detection signatures useless almost as soon as they’re created.

DeepLoad doesn’t stop at hiding its code. It also hides its activity. The malware embeds itself within a Windows lock screen process, an area most security tools don’t routinely inspect. More insidiously, it sets up a hidden persistence mechanism using Windows Management Instrumentation (WMI).

Here’s the kicker: if the initial infection is found and cleaned up, this WMI subscription acts as a sleeper agent. It waits three days and then silently re-infects the machine, restoring the attacker’s access. It’s a built-in recovery system for the malware.

How to Defend Against DeepLoad and Similar Threats

This campaign signals a shift. Defenses need to move beyond just looking for bad files. They must understand behavior. ReliaQuest researchers warn that “coverage needs to be behavior-based, durable, and built for fast iteration.”

For network administrators, several immediate steps can harden defenses. Enabling PowerShell Script Block Logging provides crucial visibility into the commands being run on systems. Regularly auditing WMI subscriptions on exposed hosts can help uncover hidden persistence mechanisms like the one DeepLoad employs.

User education remains the first line of defense against ClickFix-style attacks. Training staff to be skeptical of unsolicited instructions to run commands is critical. If an infection is suspected, changing the affected user’s password is a necessary step to cut off stolen credential access.

The emergence of DeepLoad is a clear warning. Attackers are rapidly integrating AI into their toolkits, not for complex reasoning, but for generating massive, evolving layers of camouflage. The fight is no longer just against malicious code, but against the automated systems designed to make that code invisible.

CyberSecurity

New Cavern C2 Framework: Iran-Linked Hackers Zero In on Israeli IT and Government

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Cavern C2 framework

Iran’s MOIS-Linked Group Deploys Cavern in Targeted Campaign

An Iranian hacking group tied to the country’s Ministry of Intelligence and Security (MOIS) has been using a previously unknown modular command-and-control (C2) framework called Cavern — also spelled Cav3rn — to zero in on Israeli organizations. The campaign, uncovered by Check Point Research, has primarily hit IT providers and government entities.

This isn’t just another phishing spree. The attackers built a custom C2 infrastructure from scratch. Cavern is modular, meaning it can swap out components on the fly. That flexibility makes it harder to detect and even harder to shut down.

Who’s Behind Cavern? A MOIS-Linked Threat Cluster

Check Point attributes the activity to a threat cluster that operates under the umbrella of Iran’s MOIS. The group has a track record of targeting Israeli infrastructure, but Cavern marks a technical leap. It’s not a repurposed tool — it’s purpose-built for this campaign.

The victims are telling. IT providers serve as a gateway: compromise one, and you can pivot to dozens of downstream clients. Government targets offer intelligence value. The attackers seem to want both access and information.

How Cavern Works: A Modular C2 Framework

Cavern’s architecture is what makes it stand out. It uses encrypted channels to communicate with implants on compromised machines. Each module handles a specific task — data exfiltration, keylogging, lateral movement — and can be updated or replaced without redeploying the entire framework.

  • Encrypted C2 traffic: Blends in with normal HTTPS, making network monitoring harder.
  • Modular plugins: Attackers can add or remove capabilities on demand.
  • Persistence mechanisms: Uses scheduled tasks and registry modifications to survive reboots.

This modularity is a double-edged sword for defenders. It means the framework can evolve quickly. But it also means that if you spot one module, you might not see the full picture — and the next variant could look completely different.

Targeting Israeli IT Providers and Government Agencies

The campaign’s focus on IT providers is strategic. By compromising a managed service provider (MSP), the attackers can piggyback on legitimate remote administration tools to reach the provider’s clients. That’s a supply chain attack, and it’s been a rising trend globally.

Government targets are more direct: espionage. The attackers appear interested in policy documents, internal communications, and possibly diplomatic cables. Check Point’s report notes that the group used spear-phishing emails with malicious attachments to gain initial access.

Once inside, they deployed Cavern’s implants to establish a persistent foothold. From there, they could move laterally, escalate privileges, and siphon data without triggering alarms.

Technical Deep Dive: Cavern’s Implant and C2 Communication

The Cavern implant is a lightweight executable that phones home to the C2 server using HTTP or HTTPS. The C2 server itself is a PHP-based panel that manages infected machines and issues commands.

Key technical details from Check Point’s analysis:

  • Implant size: Roughly 50 KB, compiled with MinGW to avoid common antivirus signatures.
  • C2 panel: Hosted on compromised servers in multiple countries, including the Netherlands and the United States.
  • Command set: Includes file upload/download, shell execution, process listing, and screen capture.

The attackers also used a custom DNS tunneling technique to bypass network filters. That’s a newer trick: encode data in DNS queries, which many organizations don’t monitor closely.

What This Means for Israeli Cybersecurity Teams

For defenders in Israel — and anyone watching Iranian cyber activity — Cavern is a wake-up call. It shows that MOIS-linked groups are investing in bespoke tooling, not just repurposing existing malware.

Check Point recommends organizations review their network logs for unusual DNS traffic, especially to domains registered in Iran or with suspicious patterns. They also advise tightening access controls on IT provider connections — because a breach at the provider could cascade to your own network.

The Cavern C2 framework is still active, and Check Point expects more variants. This isn’t a one-off operation. It’s a sustained campaign with a dedicated toolkit.

Israeli IT providers and government agencies should treat any unusual system behavior — even seemingly minor anomalies — as a potential sign of Cavern activity. The framework’s modular nature means the attackers can adapt faster than traditional signature-based defenses can keep up.

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From teen hacker to Iron Dome researcher, Ocean raises $28M to fight AI phishing with agentic email security

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From teen hacker to Iron Dome researcher, Ocean raises $28M to fight AI phishing with agentic email security

Shay Shwartz knows the dark side of email phishing all too well. As a teenager, he earned money as a hacker, but after getting caught at age 16, he turned his talents toward defense. Now, his startup Ocean has emerged from stealth with $28 million in funding to combat AI phishing using an agentic email security platform.

The round was led by Lightspeed Venture Partners, with participation from Picture Capital and Cerca Partners. High-profile angel investors also joined, including Wiz co-founder and CEO Assaf Rappaport, as well as Yevgeny Dibrov and Nadir Izrael, the co-founders of Armis, which recently sold to ServiceNow for $7.75 billion.

How Ocean tackles AI phishing with agentic security

Ocean claims its AI can thoroughly analyze the context of every incoming email to detect fraud and impersonation attempts. Unlike traditional vendors like Proofpoint and Mimecast, which focus on standard phishing detection, Ocean uses a small language model tailored to quickly analyze emails, understand the sender’s intent, and evaluate it against the user’s specific organizational context.

“This is like having a guard in every door,” Shwartz said. “This is how we make the inbox a safe place with high hygiene.” The platform is already reviewing billions of emails each month for customers, including Kayak, Kingston Technology, and Headspace.

Why AI phishing requires a new defensive approach

In the past, only highly sophisticated hackers could pull off spear-phishing due to the sheer amount of time, research, and manual labor needed to launch targeted attacks. However, AI has changed the game entirely. “AI just made the entire process automatic, so the scale is much, much bigger now,” Shwartz told TechCrunch. “I can instruct LLM to go and understand exactly who you are, harvest large amount of public information, and create those phishing attacks very targeted against you.”

This means that AI-powered attacks are now accessible to a wider range of malicious actors, increasing the urgency for advanced defense mechanisms. Ocean’s approach is designed to counter this new threat landscape by providing real-time, context-aware protection.

From hacker to Iron Dome researcher: Shwartz’s journey

Shwartz’s path to founding Ocean is unconventional. After his teenage hacking stint, he spent about a decade in top-tier cybersecurity roles, leading major projects for Israel’s elite defense and intelligence units, including work connected to the Iron Dome project. He later joined Axis, the startup later acquired by HPE. All along, he had been itching to launch his own startup, and two years ago, he finally took the plunge.

This background gives Ocean a unique edge in understanding both offensive and defensive cybersecurity strategies. The company’s agentic email security platform is built to fight AI phishing attacks that traditional systems might miss.

How Ocean’s technology works

Ocean built a small language model specifically designed for email analysis. It examines the full context of each message, including the sender’s history, the content, and the recipient’s role within the organization. This allows it to detect subtle impersonation attempts and fraudulent requests that might otherwise slip through.

As a result, Ocean provides a layer of protection that adapts to each user’s unique communication patterns. Learn more about email security best practices to complement your defense strategy.

The future of email security in an AI-driven world

With the rise of generative AI, the threat landscape is evolving rapidly. Ocean’s funding round signals strong investor confidence in agentic security solutions. The startup plans to use the capital to expand its team and enhance its AI capabilities.

For businesses, the message is clear: traditional phishing defenses are no longer enough. Explore our guide to AI threat detection to understand how to stay ahead of emerging risks. Ocean’s approach represents a significant step forward in the fight against AI phishing.

In conclusion, Ocean’s emergence from stealth with $28 million marks a pivotal moment in cybersecurity. By combining the founder’s unique background with cutting-edge AI, the platform offers a promising solution to one of the most pressing digital threats today. Contact us to learn how Ocean can protect your organization.

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Chinese National Extradited to US Over Silk Typhoon Cyber Campaign Targeting COVID-19 Research

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Chinese National Extradited to US Over Silk Typhoon Cyber Campaign Targeting COVID-19 Research

A suspected state-linked hacker accused of targeting US organizations and stealing sensitive COVID-19 research has been extradited to the United States, the Department of Justice (DoJ) announced. This Silk Typhoon extradition marks a significant step in holding state-sponsored cybercriminals accountable.

Xu Zewei, a 34-year-old Chinese national, appeared in a federal court in Houston over the weekend. He faces charges tied to a series of intrusions carried out between February 2020 and June 2021, some of which were allegedly tied to the Silk Typhoon campaign.

Prosecutors alleged that Xu acted under the direction of China’s intelligence apparatus, specifically the Ministry of State Security (MSS) and its Shanghai branch. Court filings claimed he worked through a private contractor, Shanghai Powerock Network Co. Ltd., part of a broader ecosystem used to obscure government involvement in cyber operations.

Alleged Role in COVID-19 and Exchange Server Attacks

Investigators said early attacks focused on US universities and researchers working on pandemic-related science. In February 2020, Xu allegedly accessed a university network in Texas and was later instructed to extract emails belonging to virologists and immunologists studying COVID-19.

Authorities claimed that stolen mailbox data included sensitive research into vaccines, treatments, and testing. These activities were reportedly coordinated with MSS officers, who directed targeting priorities and received updates on compromised systems.

Later that year, the operation allegedly expanded into the exploitation of Microsoft Exchange Server vulnerabilities. These attacks formed part of the wider Silk Typhoon (also tracked as Hafnium) campaign, publicly disclosed by the tech giant in March 2021, which impacted thousands of organizations globally.

Impact on Global Organizations

The Silk Typhoon campaign affected more than 12,700 US organizations, according to the FBI. Attackers deployed web shells on compromised servers, allowing persistent remote access and data exfiltration. Even after patches were released, hundreds of systems remained exposed.

Among the alleged victims were another US university and a global law firm. Prosecutors state that attackers searched stolen emails for references to US policymakers and agencies, using terms linked to Chinese intelligence interests.

Building on this, the indictment outlines how contractor networks operated with both state direction and financial incentives. According to US officials, these groups often targeted a broad set of systems, gathering data that could be sold onward if not directly useful to government intelligence.

Legal Proceedings and Charges

Xu faces multiple charges, including wire fraud, unauthorized access to protected computers and identity theft. Each carries a potential prison sentence of 2 to 20 years. His co-defendant, Zhang Yu, remains at large.

US authorities emphasized that the allegations remain unproven, and the defendant is presumed innocent unless found guilty in court. For more on cybersecurity threats, see our guide on understanding modern cyber threat landscapes.

This extradition underscores the ongoing battle against state-sponsored cyber espionage. As a result, organizations are urged to strengthen defenses against similar attacks. Learn how to protect your network with our cybersecurity best practices checklist.

Broader Implications for Cybersecurity

This case highlights the persistent threat of state-linked hackers targeting critical research and infrastructure. The Silk Typhoon campaign serves as a stark reminder of the vulnerabilities in global digital systems.

Furthermore, the involvement of private contractors like Shanghai Powerock Network Co. Ltd. reveals how state actors use commercial entities to mask their activities. This tactic complicates attribution and enforcement efforts.

In conclusion, the Silk Typhoon extradition represents a pivotal moment in international cybercrime prosecution. It sends a clear message that such activities will not go unpunished, even when conducted under state direction.

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