Technology News from Around the World, Instantly on Oracnoos!

Ransomware Extortion Drops to $813.5M in 2024, Down from $1.25B in 2023 - Related to has, ai-powered, threats, drops, social

Ransomware Extortion Drops to $813.5M in 2024, Down from $1.25B in 2023

Ransomware Extortion Drops to $813.5M in 2024, Down from $1.25B in 2023

Ransomware attacks netted cybercrime groups a total of $[website] million in 2024, a decline from $[website] billion in 2023.

The total amount extorted during the first half of 2024 stood at $[website] million, blockchain intelligence firm Chainalysis noted, adding payment activity slumped after July 2024 by about [website].

"The number of ransomware events increased into H2, but on-chain payments declined, suggesting that more victims were targeted, but fewer paid," the corporation introduced.

Adding to the challenges is an increasingly fragmented ransomware ecosystem, which, in the wake of the collapse of LockBit and BlackCat, has led to the emergence of a lot of newcomers that have eschewed big game hunting in favor of small- to mid-size entities that, in turn, translate to more modest ransom demands.

, the average ransomware payment in Q4 2024 was at $553,959, up from $479,237 in Q3. The median ransomware payment, in contrast, dropped from $200,000 to $110,890 quarter-over-quarter, a 45% drop.

"Payments continue to remain primarily a last-resort option for those who have no alternative to recover critical data," the organization expressed.

"Faulty decryption tools from both new and old ransomware strains and mounting distrust of threat actors' ability to honor assurances compound to drive victims away from the table unless they have no other option."

The decline in ransom payments have also been complemented by growing law enforcement success in dismantling cybercriminal networks and crypto laundering services, thereby disrupting the financial incentive and raising the barriers to entry.

That showcased, 2024 also witnessed the highest volume of annual ransomware cases since 2021, reaching a staggering 5,263 attacks, an increase of 15% year-over-year.

"With a crucial role in the global economy, Industrials experienced 27% (1424) of all ransomware attacks in 2024, increasing 15% from 2023," NCC Group expressed. "North America experienced over half of all attacks in 2024 (55%)."

The most commonly observed ransomware variants during 2024 were Akira (11%), Fog (11%), RansomHub (8%), Medusa (5%), BlackSuit (5%), BianLian (4%), and Black Basta (4%). Lone wolf actors captured an 8% market share during the time period.

Some of the new entrants observed in recent months include Arcus Media, Cloak, HellCat, Nnice, NotLockBit, WantToCry, and Windows Locker. HellCat, in particular, has been found resorting to psychological tactics to humiliate victims and pressure them into paying up.

"Both Akira and Fog have used identical money laundering methods, which are distinct from other ransomware strains, further supporting a connection between them," Chainalysis noted.

"Both groups have primarily focused on exploiting VPN vulnerabilities, which allows them to gain unauthorized access to networks and consequently deploy their ransomware."

A team of security researchers from Georgia Institute of Technology and Ruhr University Bochum has demonstrated two new side-channel attacks targeting......

The US Cybersecurity & Infrastructure Security Agency (CISA) has added four vulnerabilities to its Known Exploited Vulnerabilities catalog, urging fed......

A help desk phishing campaign targets an organization's Microsoft Active Directory Federation Services (ADFS) using spoofed login pages to steal crede......

AI-Powered Social Engineering: Reinvented Threats

AI-Powered Social Engineering: Reinvented Threats

The foundations for social engineering attacks – manipulating humans – might not have changed much over the years. It's the vectors – how these techniques are deployed – that are evolving. And like most industries these days, AI is accelerating its evolution.

This article explores how these changes are impacting business, and how cybersecurity leaders can respond.

Impersonation attacks: using a trusted identity.

Traditional forms of defense were already struggling to solve social engineering, the 'cause of most data breaches' . The next generation of AI-powered cyber attacks and threat actors can now launch these attacks with unprecedented speed, scale, and realism.

By impersonating a French government minister, two fraudsters were able to extract over €55 million from multiple victims. During video calls, one would wear a silicone mask of Jean-Yves Le Drian. To add a layer of believability, they also sat in a recreation of his ministerial office with photos of the then-President François Hollande.

Over 150 prominent figures were reportedly contacted and asked for money for ransom payments or anti-terror operations. The biggest transfer made was €47 million, when the target was urged to act because of two journalists held in Syria.

Many of the requests for money failed. After all, silicon masks can't fully replicate the look and movement of skin on a person. AI video technology is offering a new way to step up this form of attack.

We saw this last year in Hong Kong, where attackers created a video deepfake of a CFO to carry out a $25 million scam. They then invited a colleague to a videoconference call. That's where the deepfake CFO persuaded the employee to make the multi-million transfer to the fraudsters' account.

Voice phishing, often known as vishing, uses live audio to build on the power of traditional phishing, where people are persuaded to give information that compromises their organization.

The attacker may impersonate someone, perhaps an authoritative figure or from another trustworthy background, and make a phone call to a target.

They add a sense of urgency to the conversation, requesting that a payment be made immediately to avoid negative outcomes such as losing access to an account or missing a deadline. Victims lost a median $1,400 to this form of attack in 2022.

That's the big challenge with AI, with attackers now using voice cloning technology, often taken from just a few seconds of a target speaking. A mother received a call from someone who'd cloned her daughter's voice, saying she'd be kidnapped and that the attackers wanted a $50,000 reward.

Over time these phishing attempts have become far less effective, for multiple reasons. They're sent in bulk with little personalization and lots of grammatical errors, and people are more aware of '419 scams' with their requests to use specific money transfer services. Other versions, such as using fake login pages for banks, can often be blocked using web browsing protection and spam filters, along with educating people to check the URL closely.

However, phishing remains the biggest form of cybercrime. The FBI's Internet Crime research 2023 found phishing/spoofing was the source of 298,878 complaints. To give that some context, the second-highest (personal data breach) registered 55,851 complaints.

The new way: Realistic conversations at scale.

AI is allowing threat actors to access word-perfect tools by harnessing LLMs, instead of relying on basic translations. They can also use AI to launch these to multiple recipients at scale, with customization allowing for the more targeted form of spear phishing.

What's more, they can use these tools in multiple languages. These open the doors to a wider number of regions, where targets may not be as aware of traditional phishing techniques and what to check. The Harvard Business Review warns that 'the entire phishing process can be automated using LLMs, which reduces the costs of phishing attacks by more than 95% while achieving equal or greater success rates.'

Reinvented threats mean reinventing defenses.

Cybersecurity has always been in an arms race between defense and attack. But AI has added a different dimension. Now, targets have no way of knowing what's real and what's fake when an attacker is trying to manipulate their:

Trust , by Impersonating a colleague and asking an employee to bypass security protocols for sensitive information.

, by Impersonating a colleague and asking an employee to bypass security protocols for sensitive information Respect for authority by pretending to be an employee's CFO and ordering them to complete an urgent financial transaction.

by pretending to be an employee's CFO and ordering them to complete an urgent financial transaction Fear by creating a sense of urgency and panic means the employee doesn't think to consider whether the person they're speaking to is genuine.

These are essential parts of human nature and instinct that have evolved over thousands of years. Naturally, this isn't something that can evolve at the same speed as malicious actors' methods or the progress of AI. Traditional forms of awareness, with online courses and questions and answers, aren't built for this AI-powered reality.

That's why part of the answer — especially while technical protections are still catching up — is to make your workforce experience simulated social engineering attacks.

Because your employees might not remember what you say about defending against a cyber attack when it occurs, but they will remember how it makes them feel. So that when a real attack happens, they're aware of how to respond.

New mobile apps from the Chinese artificial intelligence (AI) business DeepSeek have remained among the top three “free” downloads for Apple and Google......

Microsoft warns that attackers are deploying malware in ViewState code injection attacks using static ASP. NET machine keys found online.

The [website] Cybersecurity and Infrastructure Security Agency (CISA) has warned that a security flaw impacting Trimble Cityworks GIS-centric asset managem......

Microsoft has finally fixed Date & Time bug in Windows 11

Microsoft has finally fixed Date & Time bug in Windows 11

Windows 11's January 28 optional update has fixed a long-standing issue in Windows 11 24H2 that prevents non-admin users from changing their time zone in Date & Time Settings.

Windows 11 24H2 has a bug that prevents regular users from accessing the Date & Time page of the Settings.

The issue was first confirmed by Microsoft in November 2024, and Microsoft has finally patched it for everyone with KB5050094.

This bug only affected non-admin users and the Date & Time view in Settings, so those with admin permissions could still use the feature.

How to fix the Date & Time bug in Windows 11 without installing the update.

If you don't want to install KB5050094, which is an optional update, there's a workaround to change the Date & Time using the Control Panel.

To change the Date & Time on Windows 11 24H2 with a non-admin account, you can open the Start menu and search for Control Panel.

You can use the search bar in the Control Panel window to look up “change the time zone” and select the top result.

You can also use Windows Run, type [website] and press Enter to open the Date and Time window.

Microsoft is rolling out the fix for the Date & Time settings bug with the optional update, but everyone will get it on February 11 when the company ships the February 2025 Patch Tuesday updates.

The foundations for social engineering attacks – manipulating humans – might not have changed much over the years. It's the vectors – how these techni......

Threat actors have been observed exploiting in the recent past disclosed security flaws in SimpleHelp's Remote Monitoring and Management (RMM) software as a pre......

Microsoft is warning of an insecure practice wherein software developers are incorporating publicly disclosed [website] machine keys from publicly acces......

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 Ransomware Extortion Drops 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.

SOC intermediate

interface

malware beginner

platform 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.

platform intermediate

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

zero trust intermediate

API

phishing beginner

cloud computing 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 attack flowAnatomy of a typical phishing attack
Example: Business Email Compromise (BEC) attacks are sophisticated phishing campaigns where attackers impersonate executives to trick employees into transferring funds or sensitive information.