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New Eleven11bot botnet infects 86,000 devices for DDoS attacks - Related to badbox, fixes, android, devices, disrupted

Broadcom fixes three VMware zero-days exploited in attacks

Broadcom fixes three VMware zero-days exploited in attacks

Broadcom warned clients today about three VMware zero-days, tagged as exploited in attacks and .

The vulnerabilities (CVE-2025-22224, CVE-2025-22225, and CVE-2025-22226) impact VMware ESX products, including VMware ESXi, vSphere, Workstation, Fusion, Cloud Foundation, and Telco Cloud Platform.

Attackers with privileged administrator or root access can chain these flaws to escape the virtual machine's sandbox.

"This is a situation where an attacker who has already compromised a virtual machine's guest OS and gained privileged access (administrator or root) could move into the hypervisor itself," the organization explained today. "Broadcom has information to suggest that exploitation of these issues has occurred 'in the wild'."

Broadcom says CVE-2025-22224 is a critical-severity VCMI heap overflow vulnerability that enables local attackers with administrative privileges on the targeted VM to execute code as the VMX process running on the host.

CVE-2025-22225 is an ESXi arbitrary write vulnerability that allows the VMX process to trigger arbitrary kernel writes, leading to a sandbox escape, while CVE-2025-22226 is described as an HGFS information-disclosure flaw that lets threat actors with admin permissions to leak memory from the VMX process.

A Microsoft spokesperson was not immediately available to comment when contacted by BleepingComputer earlier today for more information on these three zero days.

VMware vulnerabilities are often targeted in attacks by ransomware gangs and state-sponsored hacking groups because they are commonly used in enterprise operations to store or transfer sensitive corporate data.

Most in the recent past, ​Broadcom warned in November that attackers were actively exploiting two VMware vCenter Server vulnerabilities that were patched in September. One allows privilege escalation to root (CVE-2024-38813) while the other is a critical remote code execution flaw (CVE-2024-38812) reported during China's 2024 Matrix Cup hacking contest.

In January 20204, Broadcom also revealed that Chinese state hackers had exploited a critical vCenter Server vulnerability (CVE-2023-34048) as a zero-day since at least late 2021 to deploy VirtualPita and VirtualPie backdoors on vulnerable ESXi hosts.

Der Nachrichtenstrom zu aktuell angegriffenen Sicherheitslücken in Software reißt nicht ab. Die US-amerikanische IT-Sicherheitsbehörde CISA warnt nun ......

Cybersecurity researchers are alerting of an ongoing malicious campaign targeting the Go ecosystem with typosquatted modules that are designed to depl......

Zwei Sicherheitslücken gefährden IBM Business Automation Workflow. Aktualisierte Versionen schützen Systeme vor möglichen Attacken.

BadBox malware disrupted on 500K infected Android devices

BadBox malware disrupted on 500K infected Android devices

The BadBox Android malware botnet has been disrupted again by removing 24 malicious apps from Google Play and sinkholing communications for half a million infected devices.

The BadBox botnet is a cyber-fraud operation targeting primarily low-cost Android-based devices like TV streaming boxes, tablets, smart TVs, and smartphones.

These devices either come pre-loaded with the BadBox malware from the manufacturer or are infected by malicious apps or firmware downloads.

The malware then turns the devices into residential proxies, generates fake ad impressions on the infected devices, redirects consumers to low-quality domains as part of fraudulent traffic distribution operations, and uses people's IPs to create fake accounts and perform credential stuffing attacks.

Last December, German authorities disrupted the malware for infected devices in the country. However, a few days later, BitSight reported that the malware had been found in at least 192,000 devices, showing resilience against law enforcement action.

Since then, it is estimated that the botnet has grown to over 1,000,000 infections, impacting Android devices in 222 countries, with most located in Brazil ([website], the United States ([website], Mexico ([website], and Argentina ([website].

HUMAN's Satori Threat Intelligence team led the latest disruption operation in collaboration with Google, Trend Micro, The Shadowserver Foundation, and other partners.

Due to the botnet's sudden size inflation, HUMAN now calls it 'BadBox [website],' indicating a new era in its operation.

"This scheme impacted more than 1 million consumer devices. Devices connected to the BADBOX [website] operation included lower-price-point, "off brand", uncertified tablets, connected TV (CTV) boxes, digital projectors, and more," explains HUMAN.

HUMAN says it found evidence that the botnet serves and is supported by multiple threat groups with distinct roles or benefits.

These groups are SalesTracker (infrastructure management), MoYu (backdoor and botnet development), Lemon (ad fraud campaigns), and LongTV (malicious app development).

Android devices infected with the BadBox malware will routinely connect to attacker-controlled command and control servers to receive new configuration settings and commands to execute on the infected device.

HUMAN told BleepingComputer that, in partnership with The Shadowserver Foundation, the researchers sinkholed an undisclosed number of BADBOX [website] domains to prevent over 500,000 infected devices from communicating with command-and-control (C2) servers set up by threat actors.

When a domain is sinkholed, it is take over by the researchers, allowing them to monitor all connections made by infected devices to that domain and gather data about the botnet. As the infected devices can no longer connect with attacker-controlled domains, the malware is put into a dormant state, effectively disrupting the infection.

HUMAN says it also discovered 24 Android apps in the official app store, Google Play, that installed the BadBox malware on Android devices. Some apps, like 'Earn Extra Income' and 'Pregnancy Ovulation Calculator' by Seekiny Studio, had over 50,000 downloads each.

Google removed the apps from Google Play and added a Play Protect enforcement rule to warn individuals and block the installation of apps associated with BadBox [website] on certified Android devices.

Moreover, the tech giant has terminated publisher accounts that engaged in ad fraud associated with the BadBox operation, preventing monetization through Google Ads.

However, it is key to note that Google cannot disinfect non-Play Protect-certified Android devices sold globally, so while BadBox [website] has been disrupted, it has not been eliminated.

Ultimately, as long as consumers buy AOSP-based Android devices like off-brand TV boxes, that lack official Google Play Services support, they are at risk of using hardware pre-loaded with malware.

A list of devices known to be impacted by the BadBox malware are listed below:

Device Model Device Model Device Model Device Model TV98 X96Q_Max_P Q96L2 X96Q2 X96mini S168 ums512_1h10_Natv X96_S400 X96mini_RP TX3mini HY-001 MX10PRO X96mini_Plus1 LongTV_GN7501E Xtv77 NETBOX_B68 X96Q_PR01 AV-M9 ADT-3 OCBN X96MATE_PLUS KM1 X96Q_PRO Projector_T6P X96QPRO-TM sp7731e_1h10_native M8SPROW TV008 X96Mini_5G Q96MAX Orbsmart_TR43 Z6 TVBOX Smart KM9PRO A15 Transpeed KM7 iSinbox I96 SMART_TV Fujicom-SmartTV MXQ9PRO MBOX X96Q isinbox Mbox R11 GameBox KM6 X96Max_Plus2 TV007 Q9 Stick SP7731E H6 X88 X98K TXCZ.

In response to the disruption, Google shared the following statement with BleepingComputer.

"If a device isn't Play Protect certified, Google doesn't have a record of security and compatibility test results. Play Protect certified Android devices undergo extensive testing to ensure quality and user safety. consumers should ensure Google Play Protect, Android's malware protection that is on by default on devices with Google Play Services, is enabled."

If you own any of the above devices, it is likely that you will not be able to get clean firmware for them.

Instead, these devices should be replaced with those from reputable brands. If it is impossible to replace the device, they should be disconnected from the Internet.

More than a year's worth of internal chat logs from a ransomware gang known as Black Basta have been ......

The China-linked threat actor behind the zero-day exploitation of security flaws in Microsoft Exchange servers in January 2021 has shifted its tactics......

New Eleven11bot botnet infects 86,000 devices for DDoS attacks

New Eleven11bot botnet infects 86,000 devices for DDoS attacks

A new botnet malware named 'Eleven11bot' has infected over 86,000 IoT devices, primarily security cameras and network video recorders (NVRs), to conduct DDoS attacks.

The botnet, which is loosely linked to Iran, has already launched distributed denial of service (DDoS) attacks targeting telecommunication service providers and online gaming servers.

Eleven11bot was discovered by Nokia researchers who shared the details with the threat monitoring platform GreyNoise.

Nokia's security researcher, Jérôme Meyer, commented that Eleven11bot is one of the largest DDoS botnets they have observed in recent years.

"Primarily composed of compromised webcams and Network Video Recorders (NVRs), this botnet has rapidly grown to exceed 30,000 devices," stated Meyer on LinkedIn.

"Its size is exceptional among non-state actor botnets, making it one of the largest known DDoS botnet campaigns observed since the invasion of Ukraine in February 2022."

Earlier today, threat monitoring platform The Shadowserver Foundation reported seeing 86,400 devices infected by the Eleven11bot botnet, with most in the United States, the United Kingdom, Mexico, Canada, and Australia.

Meyer says the botnet's attacks have reached several hundred million packets per second in volume, and their duration often spans multiple days.

GreyNoise, with the help of Censys, logged 1,400 IPs tied to the botnet's operation in the past month, with 96% of them coming from real devices (not spoofed).

Malicious IP addresses associated with Eleven11bot.

The majority of those IP addresses are based in Iran, while over three hundred are classified as malicious by GreyNoise.

the malware is spread by brute-forcing weak or common admin user credentials, leveraging known default credentials for specific IoT models, and actively scanning networks for exposed Telnet and SSH ports.

GreyNoise has , so defenders are recommended to add this list to their blocklists and monitor for suspicious login attempts.

In general, it is advisable to ensure that all IoTs run the latest firmware version, have their remote access aspects disabled if not needed, and that the default admin account credentials have been changed with something strong and unique.

IoTs do not generally enjoy long-term support from their vendors, so periodically checking that your devices have not reached end-of-life (EOL) and replacing those that have with newer models is crucial.

Zwei Sicherheitslücken gefährden IBM Business Automation Workflow. Aktualisierte Versionen schützen Systeme vor möglichen Attacken.

Cybersecurity researchers are alerting of an ongoing malicious campaign targeting the Go ecosystem with typosquatted modules that are designed to depl......

In LibreOffice hat das Projekt eine Sicherheitslücke entdeckt. Angreifer können dadurch Makros ausführen lassen. Aktualisierte Software bessert die Sc......

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 Attacks Devices Broadcom 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 security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

ransomware beginner

algorithm Ransomware typically encrypts victim data using strong cryptographic algorithms, making recovery impossible without the decryption key. Advanced variants now also exfiltrate data before encryption, enabling double-extortion tactics.
Example: The REvil ransomware group leveraged a supply chain attack against Kaseya VSA to deploy ransomware to thousands of organizations simultaneously, demanding a $70 million ransom payment.

API beginner

interface 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 concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.

platform intermediate

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

DDoS intermediate

encryption

malware beginner

API 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.
Types of malwareCommon malware types and their characteristics
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.

threat intelligence intermediate

cloud computing

SOC intermediate

middleware

zero-day intermediate

scalability These vulnerabilities are particularly dangerous because defenders have no time to develop and deploy patches before exploitation occurs. They are highly valued in both offensive security markets and criminal underground.
Zero-day vulnerability timelineTimeline showing vulnerability discovery to patch development
Example: The SUNBURST attack exploited a zero-day vulnerability in SolarWinds Orion software, remaining undetected for months while compromising numerous government agencies and private organizations.