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Showing posts with label Malware Campaigns. Show all posts
Malware Campaigns
AI Prompt AI Security AI security risks AI technology Cyber Attacks LLM LLM cybersecurity Malware Campaigns

Promptware Threats Turn LLM Attacks Into Multi-Stage Malware Campaigns

 

Large language models are now embedded in everyday workplace tasks, powering automated support tools and autonomous assistants that manage calendars, write code, and handle financial actions. As these systems expand in capability and adoption, they also introduce new security weaknesses. Experts warn that threats against LLMs have evolved beyond simple prompt tricks and now resemble coordinated cyberattacks, carried out in structured stages much like traditional malware campaigns. 

This growing threat category is known as “promptware,” referring to malicious activity designed to exploit vulnerabilities in LLM-based applications. It differs from basic prompt injection, which researchers describe as only one part of a broader and more serious risk. Promptware follows a deliberate sequence: attackers gain entry using deceptive prompts, bypass safety controls to increase privileges, establish persistence, and then spread across connected services before completing their objectives.  

Because this approach mirrors conventional malware operations, long-established cybersecurity strategies can still help defend AI environments. Rather than treating LLM attacks as isolated incidents, organizations are being urged to view them as multi-phase campaigns with multiple points where defenses can interrupt progress.  

Researchers Ben Nassi, Bruce Schneier, and Oleg Brodt—affiliated with Tel Aviv University, Harvard Kennedy School, and Ben-Gurion University—argue that common assumptions about LLM misuse are outdated. They propose a five-phase model that frames promptware as a staged process unfolding over time, where each step enables the next. What may appear as sudden disruption is often the result of hidden progress through earlier phases. 

The first stage involves initial access, where malicious prompts enter through crafted user inputs or poisoned documents retrieved by the system. The next stage expands attacker control through jailbreak techniques that override alignment safeguards. These methods can include obfuscated wording, role-play scenarios, or reusable malicious suffixes that work across different model versions. 

Once inside, persistence becomes especially dangerous. Unlike traditional malware, which often relies on scheduled tasks or system changes, promptware embeds itself in the data sources LLM tools rely on. It can hide payloads in shared repositories such as email threads or corporate databases, reactivating when similar content is retrieved later. An even more serious form targets an agent’s memory directly, ensuring malicious instructions execute repeatedly without reinfection. 

The Morris II worm illustrates how these attacks can spread. Using LLM-based email assistants, it replicated by forcing the system to insert malicious content into outgoing messages. When recipients’ assistants processed the infected messages, the payload triggered again, enabling rapid and unnoticed propagation. Experts also highlight command-and-control methods that allow attackers to update payloads dynamically by embedding instructions that fetch commands from remote sources. 

These threats are no longer theoretical, with promptware already enabling data theft, fraud, device manipulation, phishing, and unauthorized financial transactions—making AI security an urgent issue for organizations.
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SVG
Cyber Campaigns Cyber Fraud Cyberattacks CyberCrime Cybersecurity CyberThreat Email Attacks Malware Campaigns Phising SVG

Cybercriminals Employ Obfuscation in Invoice Phishing Malware Campaigns

 


An array of cunning cyberattack campaigns utilizing seemingly innocuous invoices to deliver malware attacks have been uncovered by cybersecurity researchers. In this deceptive campaign, malicious Scalable Vector Graphics (SVG) file attachments are embedded in phishing emails that have been crafted to pose as malicious content. 

There is a risk that an intricate infection sequence will unfold once the victim opens the attachment, potentially releasing the victim's computer with various types of malware strains. Using this invoice-themed phishing scheme, FortiGuard Labs at Fortinet, a leading cybersecurity research team, identified a variety of malware. 

The malicious payloads included RATs such as Venom RAT, Remcos RAT, NanoCore RAT, and XWorm, as well as other Remote Access Trojans (RATs) that are known to have been exploited by hackers. Furthermore, the attack arsenal has incorporated a cryptocurrency wallet stealer that allows attackers to steal digital currencies from users without their knowledge of it. 

In a technical report published by Fortinet FortiGuard Labs, a technical report said that the emails include Scalable Vector Graphics files (SVG) that activate infection sequences when clicked. It is of particular note that the modus operandi uses BatCloak's malware obfuscation engine and ScrubCrypt to deliver malware as obfuscated batch scripts via the BatCloak malware obfuscation engine. 

A tool known as BatCloak, which was offered for sale to other threat actors in late 2022, has its roots in Jlaive, a tool that was developed by the organization. Essentially, it serves to load a next-stage payload by circumventing traditional detection mechanisms by loading it in a layered manner. The complexity of the attack lies in its multilayered approach. 

It is the SVG attachments that serve as triggers, initiating the infection process once the target opens them up. The BatCloak malware obfuscation engine is also extensively used to perform obfuscation techniques. In late 2022, cybercriminals were able to purchase a tool called Jlaive, a descendant of another obfuscation tool known as Jlaive, which has been available since then. 

In addition to masking the subsequent stages of malware, BatCloak's main function is to make it difficult for security software to detect the subsequent stages of malware. This variant of the Quasar RAT gives attackers the ability to seize control of compromised systems, collect sensitive data, and execute commands from command and control (C2) servers once they have taken control of a compromised system. 

In addition, it allows a multitude of plugins to be deployed for different kinds of malicious activities, including Remcos RAT, which is distributed via obfuscated VBS scripts, ScrubCrypt, and Guloader PowerShell scripts. The plugin system also allows a stealer module to be deployed to collect information from crypto wallets and applications like Atomic Wallet, Electrum, Ethereum, and others and send that stolen information to a remote server via the plugin system. 

In addition to obfuscating the malware, ScrubCrypt is one more layer that adds to this elaborate attack. It encrypts the malicious code, making it even more difficult to detect and prevent infection from security systems. A malware payload typically arrives in the form of encoded batch scripts as soon as the layers are peeled back. Once the scripts have been downloaded and executed onto the compromised system, the malware payload will be able to be detected. 

According to the cybersecurity firm that analyzed the latest campaign, the SVG file served as a conduit for dropping a ZIP archive which contained a batch script that probably was created using BatCloak. After the ScrubCrypt batch file has been unpacked, the Venom RAT is eventually executed, but not before establishing persistence on the host, bypassing ETW and AMSI protections, and setting up persistence on the host. 

The evolution of the tactics employed by cybercriminals has demonstrated the importance of the evolving threat landscape. A very important aspect of the sophistication of these online threats is the fact that attackers are strategically using readily available obfuscation tools, alongside malware that targets cryptocurrency. 

Researchers have stressed to users the importance of remaining vigilant, especially when it comes to unsolicited email attachments, even when they seem to be invoices or other documents that seem to come from a legitimate source. Several security measures should also be implemented by businesses, including comprehensive email filtering systems in addition to employee training programs targeted at recognizing warning signs of phishing attempts, which are recommended as part of these measures.
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