2,500+ Truesight.sys Driver Variants Exploited to Bypass EDR and Deploy HiddenGh0st RAT - Related to 1.59m, infected, exploited, peak, cloud
2,500+ Truesight.sys Driver Variants Exploited to Bypass EDR and Deploy HiddenGh0st RAT

A large-scale malware campaign has been found leveraging a vulnerable Windows driver associated with Adlice's product suite to sidestep detection efforts and deliver the Gh0st RAT malware.
"To further evade detection, the attackers deliberately generated multiple variants (with different hashes) of the driver by modifying specific PE parts while keeping the signature valid," Check Point stated in a new investigation .
The cybersecurity business expressed the malicious activity involved thousands of first-stage malicious samples that are used to deploy a program capable of terminating endpoint detection and response (EDR) software by means of what's called a bring your own vulnerable driver (BYOVD) attack.
As many as 2,500 distinct variants of the legacy version of the vulnerable RogueKiller Antirootkit Driver, . Have been identified on the VirusTotal platform, although the number is believed to be likely higher. The EDR-killer module was first detected and recorded in June 2024.
The issue with the Truesight driver, an arbitrary process termination bug affecting all versions below , has been previously weaponized to devise proof-of-concept (PoC) exploits such as Darkside and TrueSightKiller that are publicly available since at least November 2023.
In March 2024, SonicWall revealed details of a loader called DBatLoader that was found to have utilized the driver to kill security solutions before delivering the Remcos RAT malware.
Building on these developments, there is some evidence to suggest that the campaign could be the work of a threat actor called the Silver Fox APT due to some level of overlaps in the execution chain and the tradecraft employed, including the "infection vector, execution chain, similarities in initial-stage samples [...], and historical targeting patterns."
This is also reinforced by the fact that around 75% of the victims are located in China, with the remainder concentrated in other parts of Asia, primarily Singapore and. Taiwan.
The attack sequences involve the distribution of first-stage artifacts that are often disguised as legitimate applications and propagated via deceptive websites offering deals on luxury products and fraudulent channels in popular messaging apps like Telegram.
The samples act as a downloader, dropping the legacy version of the Truesight driver, as well as the next-stage payload that mimics common file types, such as PNG, JPG, and GIF. The second-stage malware then proceeds to retrieve another malware that, in turn, loads the EDR-killer module and the Gh0st RAT malware.
"While the variants of the legacy Truesight driver (version are typically downloaded and installed by the initial-stage samples, they can also be deployed directly by the EDR/AV killer module if the driver is not already present on the system," Check Point explained.
"This indicates that although. The EDR/AV killer module is fully integrated into the campaign, it is capable of operating independently of the earlier stages."
The module employs the BYOVD technique to abuse the susceptible driver for the purpose of terminating processes related to certain security software. In doing so, the attack offers an advantage in that it bypasses the Microsoft Vulnerable Driver Blocklist, a hash value-based Windows mechanism designed to protect the system against known vulnerable drivers.
The attacks culminated with the deployment of a variant of Gh0st RAT called HiddenGh0st, which is designed to remotely control compromised systems, giving attackers a way to conduct data theft, surveillance, and system manipulation.
As of December 17, 2024, Microsoft has updated the driver blocklist to include the driver in question, effectively blocking the exploitation vector.
"By modifying specific parts of the driver while preserving its digital signature, the attackers bypassed common detection methods, including the latest Microsoft Vulnerable Driver Blocklist and LOLDrivers detection mechanisms. Allowing them to evade detection for months," Check Point noted.
"Exploiting Arbitrary Process Termination vulnerability allowed the EDR/AV killer module to target and disable processes commonly associated with security solutions, further enhancing the campaign's stealth."
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Vo1d Botnet's Peak Surpasses 1.59M Infected Android TVs, Spanning 226 Countries

Brazil, South Africa, Indonesia, Argentina, and Thailand have become the targets of a campaign that has infected Android TV devices with a botnet malware dubbed Vo1d.
The improved variant of Vo1d has been found to encompass 800,000 daily active IP addresses, with the botnet scaling a peak of 1,590,299 on January 19, 2025. Spanning 226 countries and regions. As of February 25, 2025, India has experienced a notable surge in infection rate, increasing from less than 1% (3,901) to (217,771).
"Vo1d has evolved to enhance its stealth, resilience. And anti-detection capabilities," QiAnXin XLab expressed. "RSA encryption secures network communication, preventing [command-and-control] takeover even if [the Domain Generation Algorithm] domains are registered by researchers. Each payload uses a unique Downloader, with XXTEA encryption and RSA-protected keys, making analysis harder."
The malware was first documented by Doctor Web in September 2024 as affecting Android-based TV boxes by means of a backdoor that's capable of downloading additional executables based on instructions issued by the command-and-control (C2) server.
It's not exactly clear how the compromises take place, although it's suspected to either involve some kind of a supply chain attack or the use of unofficial firmware versions with built-in root access.
XLab theorized that the rapid fluctuation in the botnet activity is likely due to its infrastructure being leased in specific regions to other criminal actors as part of what it noted is a "rental-return" cycle where the bots are leased for a set time period to enable illegal operations, after which they join the larger Vo1d network.
An analysis of the newer version of the ELF malware (s63) has found that it's designed to download, decrypt, and execute a second-stage payload that's responsible for establishing communications with a C2 server.
The decrypted compressed package (ts01) contains four files: , cv, vo1d, and It starts with the shell script launching the cv component. Which, in turn, launches both vo1d and the Android app after installation.
The vo1d module's primary function is to decrypt and load an embedded payload, a backdoor that's capable of establishing communication with a C2 server and downloading and executing a native library.
"Its core functionality remains unchanged," XLab introduced. "However, it has undergone significant updates to its network communication mechanisms, notably introducing a Redirector C2. The Redirector C2 serves to provide the bot with the real C2 server address, leveraging a hardcoded Redirector C2 and a large pool of domains generated by a DGA to construct an expansive network architecture."
For its part. The malicious Android app carries the package name "" in what's a clear attempt to masquerade as the legitimate Google Play Services ("") to fly under the radar. It sets up persistence on the host by listening for the "BOOT_COMPLETED" event so that it automatically runs after each reboot.
It's also engineered to launch two other components that have a similar functionality as that of the vo1d module. The attack chain paves the way for the the deployment of a modular Android malware named Mzmess that incorporates for four different plugins -.
Popa ("") and Jaguar ("") for proxy services.
Lxhwdg (""), whose purpose remains unknown due to its C2 server being offline.
Spirit ("") for ad promotion and traffic inflation.
Furthermore, the lack of infrastructural overlaps between Mzmess and Vo1d has raised the possibility that the threat behind the malicious activity may be renting the service to other groups.
"Currently. Vo1d is used for profit, but its full control over devices allows attackers to pivot to large-scale cyber attacks or other criminal activities [such as distributed denial-of-service (DDoS) attacks]," XLab unveiled. "Hackers could exploit them to broadcast unauthorized content."
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FatalRAT Phishing Attacks Target APAC Industries Using Chinese Cloud Services

Various industrial organizations in the Asia-Pacific (APAC) region have been targeted as part of phishing attacks designed to deliver a known malware called FatalRAT.
"The threat was orchestrated by attackers using legitimate Chinese cloud content delivery network (CDN) myqcloud and the Youdao Cloud Notes service as part of their attack infrastructure," Kaspersky ICS CERT noted in a Monday investigation.
"The attackers employed a sophisticated multi-stage payload delivery framework to ensure evasion of detection."
The activity has singled out government agencies and industrial organizations, particularly manufacturing, construction, information technology, telecommunications, healthcare, power and energy, and large-scale logistics and transportation. In Taiwan, Malaysia, China, Japan, Thailand, South Korea, Singapore, the Philippines, Vietnam, and Hong Kong.
The lure attachments used in the email messages suggest that the phishing campaign is designed to go after Chinese-speaking individuals.
It's worth noting that FatalRAT campaigns have previously leveraged bogus Google Ads as a distribution vector. In September 2023, Proofpoint documented another email phishing campaign that propagated various malware families such as FatalRAT, Gh0st RAT, Purple Fox. And ValleyRAT.
An interesting aspect of both intrusion sets is that they have primarily targeted Chinese-language speakers and Japanese organizations. Some of these activities have been attributed to a threat actor tracked as Silver Fox APT.
The starting point of the latest attack chain is a phishing email containing a ZIP archive with a Chinese-language filename, which, when launched, launches the first-stage loader that. In turn, makes a request to Youdao Cloud Notes in order to retrieve a DLL file and a FatalRAT configurator.
For its part, the configurator module downloads the contents of another note from [.]com so as to access the configuration information. It's also engineered to open a decoy file in an effort to avoid raising suspicion.
The DLL, on the other hand, is a second-stage loader that's responsible for downloading and installing the FatalRAT payload from a server ("myqcloud[.]com") specified in the configuration, while displaying a fake error message about a problem running the application.
An significant hallmark of the campaign includes the use of DLL side-loading techniques to advance the multi-stage infection sequence and. Load the FatalRAT malware.
"The threat actor uses a black and white method where the actor leverages the functionality of legitimate binaries to make the chain of events look like normal activity," Kaspersky noted. "The attackers also used a DLL side-loading technique to hide the persistence of the malware in legitimate process memory."
"FatalRAT performs 17 checks for an indicator that the malware executes in a virtual machine or sandbox environment. If any of the checks fail, the malware stops executing."
It also terminates all instances of the process, and gathers information about the system and the various security solutions installed in it, before awaiting further instructions from a command-and-control (C2) server.
FatalRAT is a feature-packed trojan that's equipped to log keystrokes, corrupt Master Boot Record (MBR), turn on/off screen, search and delete user data in browsers like Google Chrome and Internet Explorer, download additional software like AnyDesk and UltraViewer, perform file operations, and start/stop a proxy, and terminate arbitrary processes.
It's currently not known who is behind the attacks using FatalRAT, although the tactical and instrumentation overlaps with other campaigns suggest that "they all reflect different series of attacks that are somehow related." Kaspersky has assessed with medium confidence that a Chinese-speaking threat actor is behind it.
"FatalRAT's functionality gives an attacker almost unlimited possibilities for developing an attack: spreading over a network, installing remote administration tools, manipulating devices, stealing, and deleting confidential information," the researchers mentioned.
"The consistent use of services and interfaces in Chinese at various stages of the attack, as well as other indirect evidence. Indicates that a Chinese-speaking actor may be involved."
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Market Impact Analysis
Market Growth Trend
2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
---|---|---|---|---|---|---|
8.7% | 10.5% | 11.0% | 12.2% | 12.9% | 13.3% | 13.4% |
Quarterly Growth Rate
Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
---|---|---|---|
12.5% | 12.9% | 13.2% | 13.4% |
Market Segments and Growth Drivers
Segment | Market Share | Growth Rate |
---|---|---|
Network Security | 26% | 10.8% |
Cloud Security | 23% | 17.6% |
Identity Management | 19% | 15.3% |
Endpoint Security | 17% | 13.9% |
Other Security Solutions | 15% | 12.4% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
Company | Market Share |
---|---|
Palo Alto Networks | 14.2% |
Cisco Security | 12.8% |
Crowdstrike | 9.3% |
Fortinet | 7.6% |
Microsoft Security | 7.1% |
Future Outlook and Predictions
The Truesight Driver Variants landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:
Year-by-Year Technology Evolution
Based on current trajectory and expert analyses, we can project the following development timeline:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
Innovation Trigger
- Generative AI for specialized domains
- Blockchain for supply chain verification
Peak of Inflated Expectations
- Digital twins for business processes
- Quantum-resistant cryptography
Trough of Disillusionment
- Consumer AR/VR applications
- General-purpose blockchain
Slope of Enlightenment
- AI-driven analytics
- Edge computing
Plateau of Productivity
- Cloud infrastructure
- Mobile applications
Technology Evolution Timeline
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
Expert Perspectives
Leading experts in the cyber security sector provide diverse perspectives on how the landscape will evolve over the coming years:
"Technology transformation will continue to accelerate, creating both challenges and opportunities."
— Industry Expert
"Organizations must balance innovation with practical implementation to achieve meaningful results."
— Technology Analyst
"The most successful adopters will focus on business outcomes rather than technology for its own sake."
— Research Director
Areas of Expert Consensus
- Acceleration of Innovation: The pace of technological evolution will continue to increase
- Practical Integration: Focus will shift from proof-of-concept to operational deployment
- Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
- Regulatory Influence: Regulatory frameworks will increasingly shape technology development
Short-Term Outlook (1-2 Years)
In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing cyber security challenges:
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.
Mid-Term Outlook (3-5 Years)
As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.
Long-Term Outlook (5+ Years)
Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:
- Fundamental shifts in how technology integrates with business and society
- emergence of new technology paradigms
These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.
Key Risk Factors and Uncertainties
Several critical factors could significantly impact the trajectory of cyber security evolution:
Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.
Alternative Future Scenarios
The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:
Optimistic Scenario
Rapid adoption of advanced technologies with significant business impact
Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.
Probability: 25-30%
Base Case Scenario
Measured implementation with incremental improvements
Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.
Probability: 50-60%
Conservative Scenario
Technical and organizational barriers limiting effective adoption
Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.
Probability: 15-20%
Scenario Comparison Matrix
Factor | Optimistic | Base Case | Conservative |
---|---|---|---|
Implementation Timeline | Accelerated | Steady | Delayed |
Market Adoption | Widespread | Selective | Limited |
Technology Evolution | Rapid | Progressive | Incremental |
Regulatory Environment | Supportive | Balanced | Restrictive |
Business Impact | Transformative | Significant | Modest |
Transformational Impact
Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.
The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.
Implementation Challenges
Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.
Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.
Key Innovations to Watch
Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.
Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.
Technical Glossary
Key technical terms and definitions to help understand the technologies discussed in this article.
Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.