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Sticky Werewolf Uses Undocumented Implant to Deploy Lumma Stealer in Russia and Belarus - Related to leak, 1.6, worldwide, botnet, topsec's

Data Leak Exposes TopSec's Role in China’s Censorship-as-a-Service Operations

Data Leak Exposes TopSec's Role in China’s Censorship-as-a-Service Operations

An analysis of a data leak from a Chinese cybersecurity corporation TopSec has revealed that it likely offers censorship-as-a-service solutions to prospective consumers, including a state-owned enterprise in the country.

Founded in 1995, TopSec ostensibly offers services such as Endpoint Detection and Response (EDR) and vulnerability scanning. But it's also providing "boutique" solutions in order to align with government initiatives and intelligence requirements, SentinelOne researchers Alex Delamotte and Aleksandar Milenkoski mentioned in a analysis shared with The Hacker News.

The data leak contains infrastructure details and work logs from employees, as well as references to web content monitoring services used to enforce censorship for public and private sector consumers.

It's believed that the enterprise provided bespoke monitoring services to a state-owned enterprise hit by a corruption scandal, indicating that such platforms are being used to monitor and control public opinion as necessary.

Present among the data leak is a contract for a "Cloud Monitoring Service Project" unveiled by the Shanghai Public Security Bureau in September 2024.

The project, the document reveals, involves continuous monitoring of websites within the Bureau's jurisdiction with the goal of identifying security issues and content changes, and providing incident alerts.

Specifically, the platform has been designed to look for the presence of hidden links in web content, along with those containing sensitive words related to political criticism, violence, or pornography.

While the exact goals are unclear, it's suspected that such alerts could be used by end-clients to take follow-on actions, such as issuing warnings, deleting content, or restricting access when sensitive words are detected. That revealed, Shanghai Anheng Smart City Security Technology Co. Ltd. won the contract, per public documents analyzed by SentinelOne.

The cybersecurity firm showcased the leak was detected after it analyzed a text file that was uploaded to the VirusTotal platform on January 24, 2025. The manner in which the data was leaked remains unclear.

"The main file we analyzed contains numerous work logs, which are a description of the work performed by a TopSec employee and the amount of time the task took, often accompanied by scripts, commands, or data related to the task," the researchers noted.

"In addition to work logs, the leak contains many commands and playbooks used to administrate TopSec's services via multiple common DevOps and infrastructure technologies that are used worldwide, including Ansible, Docker, ElasticSearch, Gitlab, Kafka, Kibana, Kubernetes, and Redis."

Also found are references to another framework named Sparta (or Sparda) that's supposedly designed to handle sensitive word processing by receiving content from downstream web applications via GraphQL APIs, once again suggestive of censorship keyword monitoring.

"These leaks yield insight into the complex ecosystem of relationships between government entities and China's private sector cybersecurity companies," the researchers unveiled.

"While many countries have significant overlap between government requirements and private sector cybersecurity firms, the ties between these entities in China are much deeper and represent the state's grasp on managing public opinion through online enforcement."

Das polnische CERT warnt vor einer Sicherheitslücke in der Video-Schnitt- und Postprocessing-Software DaVinci Resolve. Angreifer können sie missbrauch......

The threat actors behind the Darcula phishing-as-a-service (PhaaS) platform appear to be readying a new version that allows prospective clients and ......

Angreifer können Sicherheitsbeschränkungen von IBMs Middleware für die Transaktionsverarbeitung umgehen und so PCs attackieren. Dagegen stehen gerüste......

Sticky Werewolf Uses Undocumented Implant to Deploy Lumma Stealer in Russia and Belarus

Sticky Werewolf Uses Undocumented Implant to Deploy Lumma Stealer in Russia and Belarus

The threat actor known as Sticky Werewolf has been linked to targeted attacks primarily in Russia and Belarus with the aim of delivering the Lumma Stealer malware by means of a previously undocumented implant.

Cybersecurity business Kaspersky is tracking the activity under the name Angry Likho, which it stated bears a "strong resemblance" to Awaken Likho (aka Core Werewolf, GamaCopy, and PseudoGamaredon).

"However, Angry Likho's attacks tend to be targeted, with a more compact infrastructure, a limited range of implants, and a focus on employees of large organizations, including government agencies and their contractors," the Russian organization mentioned.

It's suspected that the threat actors are likely native Russian speakers given the use of fluent Russian in the bait files used to trigger the infection chain. Last month, cybersecurity corporation F6 (formerly [website] described it as a "pro-Ukrainian cyberspy group."

The attackers have been found to mainly single out organizations in Russia and Belarus, with hundreds of victims identified in the former.

Previous intrusion activities associated with the group have leveraged phishing emails as a conduit to distribute various malware families such as NetWire, Rhadamanthys, Ozone RAT, and a backdoor known as DarkTrack, the last of which is launched via a loader called Ande Loader.

The attack sequence involves the use of spear-phishing emails bearing a booby-trapped attachment ([website], archive files), within which are two Windows shortcut (LNK) files and a legitimate lure document.

The archive files are responsible for advancing the malicious activity to the next-stage, unleashing a complex multi-stage process to deploy the Lumma information stealer.

"This implant was created using the legitimate open-source installer, Nullsoft Scriptable Install System, and functions as a self-extracting archive (SFX)," Kaspersky stated.

The attacks have been observed incorporating steps to evade detection by security vendors by means of a check for emulators and sandboxed environments, causing the malware to either terminate or resume after a 10,000 ms delay, a technique also spotted in Awaken Likho implants.

This overlap has raised the possibility that the attackers behind the two campaigns share the same technology or likely the same group using a different set of tools for different targets and tasks.

"The group's latest attacks use the Lumma stealer, which collects a vast amount of data from infected devices, including browser-stored banking details and cryptowallet files," Kaspersky mentioned.

"The group relies on readily available malicious utilities obtained from darknet forums, rather than developing its own tools. The only work they do themselves is writing mechanisms of malware delivery to the victim's device and crafting targeted phishing emails."

Die kriminelle Online-Bande Cl0p ist für das Kopieren von Daten von Unternehmen und die darauf folgende Erpressung mit der Datenveröffentlichung bekan......

Angreifer können Sicherheitsbeschränkungen von IBMs Middleware für die Transaktionsverarbeitung umgehen und so PCs attackieren. Dagegen stehen gerüste......

Mit verschlüsselten Daten zu arbeiten, ohne sie entschlüsseln zu müssen, klingt unmöglich. Und doch bietet die homomorphe Verschlüsselung genau diese ......

Vo1d malware botnet grows to 1.6 million Android TVs worldwide

Vo1d malware botnet grows to 1.6 million Android TVs worldwide

A new variant of the Vo1d malware botnet has grown to 1,590,299 infected Android TV devices across 226 countries, recruiting devices as part of anonymous proxy server networks.

This is , which has been tracking the new campaign since last November, reporting that the botnet peaked on January 14, 2025, and currently has 800,000 active bots.

In September 2024, Dr. Web antivirus researchers found [website] million devices across 200 countries compromised by Vo1d malware via an unknown infection vector.

XLab's recent study indicates that the new version of the Vo1d botnet continues its operations on a larger scale, not deterred by the previous exposure.

Moreover, the researchers underline that the botnet has evolved with advanced encryption (RSA + custom XXTEA), resilient DGA-powered infrastructure, and enhanced stealth capabilities.

The Vo1d botnet is one of the largest seen in recent years, surpassing Bigpanzi, the original Mirai operation, and the botnet responsible for a record-breaking [website] Tbps DDoS attack handled by Cloudflare last year.

As of February 2025, nearly 25% of the infections impact Brazilian clients, followed by devices in South Africa ([website], Indonesia ([website], Argentina ([website], Thailand ([website], and China ([website].

The researchers study that the botnet has had notable infection surges, like going from 3,900 to 217,000 bots in India within just three days.

The largest fluctuations suggest that the botnet operators may be "renting" devices as proxy servers, which are commonly used to conduct further illegal activity or botting.

"We speculate that the phenomenon of "rapid surges followed by sharp declines" may be attributed to Vo1d leasing its botnet infrastructure in specific regions to other groups. Here's how this "rental-return" cycle could work: Leasing Phase: At the start of a lease, bots are diverted from the main Vo1d network to serve the lessee's operations. This diversion causes a sudden drop in Vo1d's infection count as the bots are temporarily removed from its active pool. Return Phase: Once the lease period ends, the bots rejoin the Vo1d network. This reintegration leads to a rapid spike in infection counts as the bots become active again under Vo1d's control. This cyclical mechanism of "leasing and returning" could explain the observed fluctuations in Vo1d's scale at specific time points." ❖ Xlab ❖ Xlab.

The scale of its command and control (C2) infrastructure is also impressive, with the operation using 32 domain generation algorithm (DGA) seeds to produce over 21,000 C2 domains.

C2 communication is protected by a 2048-bit RSA key, so even if researchers identify and register a C2 domain, they are not able to issue commands to the bots.

Most impacted countries as of February 25.

The Vo1d botnet is a multi-purpose cybercrime tool that turns compromised devices into proxy servers to facilitate illegal operations.

Infected devices relay malicious traffic for the cybercriminals, hiding the origin of their activity and blending in with residential network traffic. This also helps the threat actors bypass regional restrictions, security filtering, and other protections.

The malware has specific plugins that automate ad interactions and simulate human-like browsing behavior, as well as the Mzmess SDK, which distributes fraud tasks to different bots.

Given that the infection chain remains unknown, it is recommended that Android TV consumers follow a holistic security approach to mitigate the Vo1d threat.

The first step is buying devices from reputable vendors and trustworthy resellers to minimize the likelihood of malware being pre-loaded from the factory or while in transit.

Secondly, it's crucially crucial to install firmware and security updates that close gaps that may be leveraged for remote infections.

Thirdly, consumers should avoid downloading apps outside of Google Play or third-party firmware images that promise extended and "unlocked" functionality.

Android TV devices should have their remote access functions disabled if not needed, while taking them offline when not used is also an effective strategy.

Ultimately, IoT devices should be isolated from valuable devices that hold sensitive data on the network level.

An analysis of a data leak from a Chinese cybersecurity enterprise TopSec has revealed that it likely offers censorship-as-a-service solutions to prospec......

Angreifer können Sicherheitsbeschränkungen von IBMs Middleware für die Transaktionsverarbeitung umgehen und so PCs attackieren. Dagegen stehen gerüste......

Remote Desktop Protocol (RDP) is an amazing technology developed by Microsoft that lets you access and control another computer over a network. It's l......

Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
8.7%10.5%11.0%12.2%12.9%13.3%13.4%
8.7%10.5%11.0%12.2%12.9%13.3%13.4% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
12.5% 12.9% 13.2% 13.4%
12.5% Q1 12.9% Q2 13.2% Q3 13.4% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Network Security26%10.8%
Cloud Security23%17.6%
Identity Management19%15.3%
Endpoint Security17%13.9%
Other Security Solutions15%12.4%
Network Security26.0%Cloud Security23.0%Identity Management19.0%Endpoint Security17.0%Other Security Solutions15.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Palo Alto Networks14.2%
Cisco Security12.8%
Crowdstrike9.3%
Fortinet7.6%
Microsoft Security7.1%

Future Outlook and Predictions

The Security and Mobile: Latest Developments 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:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

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

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • 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:

Evolving threat landscape
Skills shortage
Regulatory compliance complexity

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

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

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 technologies discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

encryption intermediate

algorithm Modern encryption uses complex mathematical algorithms to convert readable data into encoded formats that can only be accessed with the correct decryption keys, forming the foundation of data security.
encryption diagram Visual explanation of encryption concept

EDR intermediate

interface Unlike traditional antivirus, EDR solutions monitor and record system activities and events across endpoints, applying behavioral analysis and threat intelligence to detect sophisticated attacks.

API beginner

platform APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API diagram Visual explanation of API concept
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

SOC intermediate

encryption

phishing beginner

API Modern phishing attacks are increasingly sophisticated, often leveraging AI to create convincing spear-phishing campaigns that target specific individuals with personalized content that appears legitimate.
phishing diagram Visual explanation of phishing concept
Example: Business Email Compromise (BEC) attacks are sophisticated phishing campaigns where attackers impersonate executives to trick employees into transferring funds or sensitive information.

malware beginner

cloud computing Malware can take many forms including viruses, worms, trojans, ransomware, spyware, adware, and rootkits. Modern malware often employs sophisticated evasion techniques to avoid detection by security solutions.
malware diagram Visual explanation of malware concept
Example: The Emotet trojan began as banking malware but evolved into a delivery mechanism for other malware types, demonstrating how sophisticated malware can adapt and change functionality over time.

middleware intermediate

middleware

platform intermediate

scalability Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

DevOps intermediate

DevOps

DDoS intermediate

microservices

algorithm intermediate

firewall