Ghibli Trend: Another Ethical Conundrum Caused by AI?
Aditi Pangotra
Research Analyst, Policy & Advocacy, CyberPeace
PUBLISHED ON
Apr 10, 2025
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The Ghibli trend has been in the news for the past couple of weeks for multiple reasons, be it good or bad. The nostalgia that everyone has for the art form has made people turn a blind eye to what the trend means to the artists who painstakingly create the art. The open-source platforms may be trained on artistic material without the artist's ‘explicit permission’ making it so that the rights of the artists are downgraded. The artistic community has reached a level where they are questioning their ability to create, which can be recreated by this software in a couple of seconds and without any thought as to what it is doing. OpenAI’s update on ChatGPT makes it simple for users to create illustrations that are like the style created by Hayao Miyazaki and made into anything from personal pictures to movie scenes and making them into Ghibli-style art. The updates in AI to generate art, including Ghibli-style, may raise critical questions about artistic integrity, intellectual property, and data privacy risks.
AI and the Democratization of Creativity
AI-powered tools have lowered barriers and enable more people to engage with artistic expression. AI allows people to create appealing content in the form of art regardless of their artistic capabilities. The update of ChatGPT has made it so that art has been democratized, and the abilities of the user don't matter. It makes art accessible, efficient and a creative experiment to many.
Unfortunately, these developments also pose challenges for the original artistry and the labour of human creators. The concern doesn't just stop at AI replacing artists, but also about the potential misuse it can lead to. This includes unauthorized replication of distinct styles or deepfake applications. When it is used ethically, AI can enhance artistic processes. It can assist with repetitive tasks, improving efficiency, and enabling creative experimentation.
However, its ability to mimic existing styles raises concerns. The potential that AI-generated content has could lead to a devaluation of human artists' work, potential copyright issues, and even data privacy risks. Unauthorized training of AI models that create art can be exploited for misinformation and deepfakes, making human oversight essential. Few artists believe that AI artworks are disrupting the accepted norms of the art world. Additionally, AI can misinterpret prompts, producing distorted or unethical imagery that contradicts artistic intent and cultural values, highlighting the critical need for human oversight.
The Ethical and Legal Dilemmas
The main dilemma that surrounds trends such as the Ghibli trend is whether it compromises human efforts by blurring the line between inspiration and infringement of artistic freedom. Further, an issue that is not considered by most users is whether the personal content (personal pictures in this case) uploaded on AI models is posing a risk to their privacy. This leads to the issue where the potential misuse of AI-generated content can be used to spread misinformation through misleading or inappropriate visuals.
The negative effects can only be balanced if a policy framework is created that can ensure the fair use of AI in Art. Further, this should ensure that the training of AI models is done in a manner that is fair to the artists who are the original creators of a style. Human oversight is needed to moderate the AI-generated content. This oversight can be created by creating ethical AI usage guidelines for platforms that host AI-generated art.
Conclusion: What Can Potentially Be Done?
AI is not a replacement for human effort, it is to ease human effort. We need to promote a balanced AI approach that protects the integrity of artists and, at the same time, continues to foster innovation. And finally, strengthening copyright laws to address AI-generated content. Labelling AI content and ensuring that this content is disclosed as AI-generated is the first step. Furthermore, there should be fair compensation made to the human artists based on whose work the AI model is trained. There is an increasing need to create global AI ethics guidelines to ensure that there is transparency, ethical use and human oversight in AI-driven art. The need of the hour is that industries should work collaboratively with regulators to ensure that there is responsible use of AI.
In the age of advanced technology, Cyber threats continue to grow, and so are the cyber hubs. A new name has been added to the cyber hub, Purnia, a city in India, is now evolving as a new and alarming menace-biometric cloning and financial crimes. This emerging cyber threat involves replicating an individual’s biometric data, such as fingerprint or facial recognition, to gain unauthorised access to their bank accounts and carry out fraudulent activities. In this blog, we will have a look at the methods employed, the impact on individuals and institutions, and the necessary steps to mitigate the risk.
The Backdrop
Purnia, a bustling city in the state of Bihar, India, is known for its rich cultural heritage, However, underneath its bright appearance comes a hidden danger—a rising cyber threat with the potential to devastate its citizens’ financial security. Purnia has seen the growth of a dangerous trend in recent years, such as biometric cloning for financial crimes, after several FIRs were registered with Kasba and Amaur police stations. The Police came into action and started an investigation.
Modus Operandi unveiled
The modus Operandi of cyber criminals includes hacking into databases, intercepting data during transactions, or even physically obtaining fingerprints of facial images from objects or surfaces. Let’s understand how they gathered all this data and why Bihar was not targeted.
These criminals are way smart they operate in the three states. They targeted and have open access to obtain registry and agreement paperwork from official websites, albeit it is not available online in Bihar. As a result, the scam was conducted in other states rather than Bihar; further, the fraudsters were involved in downloading the fingerprints, biometrics, and Aadhaar numbers of buyers and sellers from the property registration documents of Andhra Pradesh, Haryana, and Telangana.
After Cloning fingerprints, the fraudster withdrew money after linking with Aadhaar Enabled Payment System (AEPS) from various bank accounts. The fraudsters stamped the fingerprint on rubber trace paper and utilised a polymer stamp machine and heating at a specific temperature with a chemical to make duplicate fingerprints used in unlawful financial transactions from several consumers’ bank accounts.
Investigation Insight
After the breakthrough, the police teams recovered a large number of smartphones, ATM cards, rubber stamps of fingerprints, Aadhar numbers, scanners, Stamp machines, laptops, and chemicals, and along with this, 17 people were arrested.
During the investigation, it was found that the cybercriminals employ Sophisticated money laundering techniques to obscure the illicit origins of the stolen funds. The fraudsters transfer money into various /multiple accounts or use cryptocurrency. Using these tactics makes it more challenging for authorities to trace back money and get it back.
Impact of biometric Cloning scam
The Biometric scam has far-reaching implications both for society, Individuals, and institutions. These kinds of scams cause financial losses and create emotional breakdowns, including anger, anxiety, and a sense of violation. This also broke the trust in a digital system.
It also seriously impacts institutions. Biometric cloning frauds may potentially cause severe reputational harm to financial institutions and organisations. When clients fall prey to such frauds, it erodes faith in the institution’s security procedures, potentially leading to customer loss and a tarnished reputation. Institutions may suffer legal and regulatory consequences, and they must invest money in investigating the incident, paying victims, and improving their security systems to prevent similar instances.
Raising Awareness
Empowering Purnia Residents to Protect Themselves from Biometric Fraud: Purnia must provide its inhabitants with knowledge and techniques to protect their personal information as it deals with the increasing issue of biometric fraud. Individuals may defend themselves from falling prey to these frauds by increasing awareness about biometric fraud and encouraging recommended practices. This blog will discuss the necessity of increasing awareness and present practical recommendations to help Purnia prevent biometric fraud. Here are some tips that one can follow;
Securing personal Biometric data: It is crucial to safeguard personal biometric data. Individuals should be urged to secure their fingerprints, face scans, and other biometric information in the same way that they protect their passwords or PINs. It is critical to ensure that biometric data is safely maintained and shared with only trustworthy organisations with strong security procedures in place.
Verifying Service providers: Residents should be vigilant while submitting biometric data to service providers, particularly those providing financial services. Before disclosing any sensitive information, it is important to undertake due diligence and establish the validity and reliability of the organisation. Checking for relevant certificates, reading reviews, and getting recommendations can assist people in making educated judgments and avoiding unscrupulous companies.
Personal Cybersecurity: Individuals should implement robust cybersecurity practices to reduce the danger of biometric fraud. This includes using difficult and unique passwords, activating two-factor authentication, upgrading software and programs on a regular basis, and being wary of phishing efforts. Individuals should also refrain from providing personal information or biometric data via unprotected networks or through untrustworthy sources.
Educating the Elderly and Vulnerable Groups: Special attention should be given to educating the elderly and other vulnerable groups who may be more prone to scams. Awareness campaigns may be modified to their individual requirements, emphasising the significance of digital identities, recognising possible risks, and seeking help from reliable sources when in doubt. Empowering these populations with knowledge can help keep them safe from biometric fraud.
Measures to Stay Ahead
As biometric fraud is a growing concern, staying a step ahead is essential. By following these simple steps, one can safeguard themselves.
Multi-factor Authentication: MFA is one of the best methods for security. MFA creates multi-layer security or extra-layer security against unauthorised access. MFA incorporates a biometric scan and a password.
Biometric Encryption: Biometric encryption securely stores and transmits biometric data. Rather than keeping raw biometric data, encryption methods transform it into mathematical templates that cannot be reverse-engineered. These templates are utilised for authentication, guaranteeing that the original biometric information is not compromised even if the encrypted data is.
AI and Machine Learning (ML): AI and ML technologies are critical in detecting and combating biometric fraud. These systems can analyse massive volumes of data in real-time, discover trends, and detect abnormalities. Biometric systems may continually adapt and enhance accuracy by employing AI and ML algorithms, boosting their capacity to distinguish between legitimate users and fraudulent efforts.
Conclusion
The Biometric fraud call needs immediate attention to protect the bankers from the potential consequences. By creating awareness, we can save ourselves; additionally, by working together, we can create a safer digital environment. The use of biometric verification was inculcated to increase factor authentication for a banker. However, we see that the bad actors have already started to bypass the tech and even wreak havoc upon the netizens by draining their accounts of their hard-earned money. The banks and the cyber cells nationwide need to work together in synergy to increase awareness and safety mechanisms to prevent such cyber crimes and create effective and efficient redressal mechanisms for the citizens.
This report is based on extensive research conducted by CyberPeace Research using publicly available information, and advanced analytical techniques. The findings, interpretations, and conclusions presented are based on the data available at the time of study and aim to provide insights into global ransomware trends.
The statistics mentioned in this report are specific to the scope of this research and may vary based on the scope and resources of other third-party studies. Additionally, all data referenced is based on claims made by threat actors and does not imply confirmation of the breach by CyberPeace. CyberPeace includes this detail solely to provide factual transparency and does not condone any unlawful activities. This information is shared only for research purposes and to spread awareness. CyberPeace encourages individuals and organizations to adopt proactive cybersecurity measures to protect against potential threats.
CyberPeace Research does not claim to have identified or attributed specific cyber incidents to any individual, organization, or nation-state beyond the scope of publicly observable activities and available information. All analyses and references are intended for informational and awareness purposes only, without any intention to defame, accuse, or harm any entity.
While every effort has been made to ensure accuracy, CyberPeace Research is not liable for any errors, omissions, subsequent interpretations and any unlawful activities of the findings by third parties. The report is intended to inform and support cybersecurity efforts globally and should be used as a guide to foster proactive measures against cyber threats.
Executive Summary:
The 2024 ransomware landscape reveals alarming global trends, with 166 Threat Actor Groups leveraging 658 servers/underground resources and mirrors to execute 5,233 claims across 153 countries. Monthly fluctuations in activity indicate strategic, cyclical targeting, with peak periods aligned with vulnerabilities in specific sectors and regions. The United States was the most targeted nation, followed by Canada, the UK, Germany, and other developed countries, with the northwestern hemisphere experiencing the highest concentration of attacks. Business Services and Healthcare bore the brunt of these operations due to their high-value data, alongside targeted industries such as Pharmaceuticals, Mechanical, Metal, Electronics, and Government-related professional firms. Retail, Financial, Technology, and Energy sectors were also significantly impacted.
This research was conducted by CyberPeace Research using a systematic modus operandi, which included advanced OSINT (Open-Source Intelligence) techniques, continuous monitoring of Ransomware Group activities, and data collection from 658 servers and mirrors globally. The team utilized data scraping, pattern analysis, and incident mapping to track trends and identify hotspots of ransomware activity. By integrating real-time data and geographic claims, the research provided a comprehensive view of sectoral and regional impacts, forming the basis for actionable insights.
The findings emphasize the urgent need for proactive Cybersecurity strategies, robust defenses, and global collaboration to counteract the evolving and persistent threats posed by ransomware.
Overview:
This report provides insights into ransomware activities monitored throughout 2024. Data was collected by observing 166 Threat Actor Groups using ransomware technologies across 658 servers/underground resources and mirrors, resulting in 5,233 claims worldwide. The analysis offers a detailed examination of global trends, targeted sectors, and geographical impact.
Top 10 Threat Actor Groups:
The ransomware group ‘ransomhub’ has emerged as the leading threat actor, responsible for 527 incidents worldwide. Following closely are ‘lockbit3’ with 522 incidents and ‘play’ with 351. Other Groups are ‘akira’, ‘hunters’, ‘medusa’, ‘blackbasta’, ‘qilin’, ‘bianlian’, ‘incransom’. These groups usually employ advanced tactics to target critical sectors, highlighting the urgent need for robust cybersecurity measures to mitigate their impact and protect organizations from such threats.
Monthly Ransomware Incidents:
In January 2024, the value began at 284, marking the lowest point on the chart. The trend rose steadily in the subsequent months, reaching its first peak at 557 in May 2024. However, after this peak, the value dropped sharply to 339 in June. A gradual recovery follows, with the value increasing to 446 by August. September sees another decline to 389, but a sharp rise occurs afterward, culminating in the year’s highest point of 645 in November. The year concludes with a slight decline, ending at 498 in December 2024 (till 28th of December).
Top 10 Targeted Countries:
The United States consistently topped the list as the primary target probably due to its advanced economic and technological infrastructure.
Other heavily targeted nations include Canada, UK, Germany, Italy, France, Brazil, Spain, and India.
A total of 153 countries reported ransomware attacks, reflecting the global scale of these cyber threats
Top Affected Sectors:
Business Services and Healthcare faced the brunt of ransomware threat due to the sensitive nature of their operations.
Specific industries under threats:
Pharmaceutical, Mechanical, Metal, and Electronics industries.
Professional firms within the Government sector.
Other sectors:
Retail, Financial, Technology, and Energy sectors were also significant targets.
Geographical Impact:
The continuous and precise OSINT(Open Source Intelligence) work on the platform, performed as a follow-up action to data scraping, allows a complete view of the geography of cyber attacks based on their claims. The northwestern region of the world appears to be the most severely affected by Threat Actor groups. The figure below clearly illustrates the effects of this geographic representation on the map.
Ransomware Threat Trends in India:
In 2024, the research identified 98 ransomware incidents impacting various sectors in India, marking a 55% increase compared to the 63 incidents reported in 2023. This surge highlights a concerning trend, as ransomware groups continue to target India's critical sectors due to its growing digital infrastructure and economic prominence.
Top Threat Actors Group Targeted India:
Among the following threat actors ‘killsec’ is the most frequent threat. ‘lockbit3’ follows as the second most prominent threat, with significant but lower activity than killsec. Other groups, such as ‘ransomhub’, ‘darkvault’, and ‘clop’, show moderate activity levels. Entities like ‘bianlian’, ‘apt73/bashe’, and ‘raworld’ have low frequencies, indicating limited activity. Groups such as ‘aps’ and ‘akira’ have the lowest representation, indicating minimal activity. The chart highlights a clear disparity in activity levels among these threats, emphasizing the need for targeted cybersecurity strategies.
Top Impacted Sectors in India:
The pie chart illustrates the distribution of incidents across various sectors, highlighting that the industrial sector is the most frequently targeted, accounting for 75% of the total incidents. This is followed by the healthcare sector, which represents 12% of the incidents, making it the second most affected. The finance sector accounts for 10% of the incidents, reflecting a moderate level of targeting. In contrast, the government sector experiences the least impact, with only 3% of the incidents, indicating minimal targeting compared to the other sectors. This distribution underscores the critical need for enhanced cybersecurity measures, particularly in the industrial sector, while also addressing vulnerabilities in healthcare, finance, and government domains.
Month Wise Incident Trends in India:
The chart indicates a fluctuating trend with notable peaks in May and October, suggesting potential periods of heightened activity or incidents during these months. The data starts at 5 in January and drops to its lowest point,2,in February. It then gradually increases to 6 in March and April, followed by a sharp rise to 14 in May. After peaking in May, the metric significantly declines to 4 in June but starts to rise again, reaching 7 in July and 8 in August. September sees a slight dip to 5 before the metric spikes dramatically to its highest value, 24, in October. Following this peak, the count decreases to 10 in November and then drops further to 7 in December.
CyberPeace Advisory:
Implement Data Backup and Recovery Plans: Backups are your safety net. Regularly saving copies of your important data ensures you can bounce back quickly if ransomware strikes. Make sure these backups are stored securely—either offline or in a trusted cloud service—to avoid losing valuable information or facing extended downtime.
Enhance Employee Awareness and Training: People often unintentionally open the door to ransomware. By training your team to spot phishing emails, social engineering tricks, and other scams, you empower them to be your first line of defense against attacks.
Adopt Multi-Factor Authentication (MFA): Think of MFA as locking your door and adding a deadbolt. Even if attackers get hold of your password, they’ll still need that second layer of verification to break in. It’s an easy and powerful way to block unauthorized access.
Utilize Advanced Threat Detection Tools: Smart tools can make a world of difference. AI-powered systems and behavior-based monitoring can catch ransomware activity early, giving you a chance to stop it in its tracks before it causes real damage.
Conduct Regular Vulnerability Assessments: You can’t fix what you don’t know is broken. Regularly checking for vulnerabilities in your systems helps you identify weak spots. By addressing these issues proactively, you can stay one step ahead of attackers.
Conclusion:
The 2024 ransomware landscape reveals the critical need for proactive cybersecurity strategies. High-value sectors and technologically advanced regions remain the primary targets, emphasizing the importance of robust defenses. As we move into 2025, it is crucial to anticipate the evolution of ransomware tactics and adopt forward-looking measures to address emerging threats.
Global collaboration, continuous innovation in cybersecurity technologies, and adaptive strategies will be imperative to counteract the persistent and evolving threats posed by ransomware activities. Organizations and governments must prioritize preparedness and resilience, ensuring that lessons learned in 2024 are applied to strengthen defenses and minimize vulnerabilities in the year ahead.
BrazenBamboo’s DEEPDATA malware represents a new wave of advanced cyber espionage tools, exploiting a zero-day vulnerability in Fortinet FortiClient to extract VPN credentials and sensitive data through fileless malware techniques and secure C2 communications. With its modular design, DEEPDATA targets browsers, messaging apps, and password stores, while leveraging reflective DLL injection and encrypted DNS to evade detection. Cross-platform compatibility with tools like DEEPPOST and LightSpy highlights a coordinated development effort, enhancing its espionage capabilities. To mitigate such threats, organizations must enforce network segmentation, deploy advanced monitoring tools, patch vulnerabilities promptly, and implement robust endpoint protection. Vendors are urged to adopt security-by-design practices and incentivize vulnerability reporting, as vigilance and proactive planning are critical to combating this sophisticated threat landscape.
Introduction
The increased use of zero-day vulnerabilities by more complex threat actors reinforces the importance of more developed countermeasures. One of the threat actors identified is BrazenBamboo uses a zero-day vulnerability in Fortinet FortiClient for Windows through the DEEPDATA advanced malware framework. This research explores technical details about DEEPDATA, the tricks used in its operations, and its other effects.
Technical Findings
1. Vulnerability Exploitation Mechanism
The vulnerability in Fortinet’s FortiClient lies in its failure to securely handle sensitive information in memory. DEEPDATA capitalises on this flaw via a specialised plugin, which:
Accesses the VPN client’s process memory.
Extracts unencrypted VPN credentials from memory, bypassing typical security protections.
Transfers credentials to a remote C2 server via encrypted communication channels.
2. Modular Architecture
DEEPDATA exhibits a highly modular design, with its core components comprising:
Loader Module (data.dll): Decrypts and executes other payloads.
Orchestrator Module (frame.dll): Manages the execution of multiple plugins.
FortiClient Plugin: Specifically designed to target Fortinet’s VPN client.
Each plugin operates independently, allowing flexibility in attack strategies depending on the target system.
3. Command-and-Control (C2) Communication
DEEPDATA establishes secure channels to its C2 infrastructure using WebSocket and HTTPS protocols, enabling stealthy exfiltration of harvested data. Technical analysis of network traffic revealed:
Dynamic IP switching for C2 servers to evade detection.
Use of Domain Fronting, hiding C2 communication within legitimate HTTPS traffic.
Time-based communication intervals to minimise anomalies in network behavior.
4. Advanced Credential Harvesting Techniques
Beyond VPN credentials, DEEPDATA is capable of:
Dumping password stores from popular browsers, such as Chrome, Firefox, and Edge.
Extracting application-level credentials from messaging apps like WhatsApp, Telegram, and Skype.
Intercepting credentials stored in local databases used by apps like KeePass and Microsoft Outlook.
5. Persistence Mechanisms
To maintain long-term access, DEEPDATA employs sophisticated persistence techniques:
Registry-based persistence: Modifies Windows registry keys to reload itself upon system reboot.
DLL Hijacking: Substitutes legitimate DLLs with malicious ones to execute during normal application operations.
Scheduled Tasks and Services: Configures scheduled tasks to periodically execute the malware, ensuring continuous operation even if detected and partially removed.
Additional Tools in BrazenBamboo’s Arsenal
1. DEEPPOST
A complementary tool used for data exfiltration, DEEPPOST facilitates the transfer of sensitive files, including system logs, captured credentials, and recorded user activities, to remote endpoints.
2. LightSpy Variants
The Windows variant includes a lightweight installer that downloads orchestrators and plugins, expanding espionage capabilities across platforms.
Shellcode-based execution ensures that LightSpy’s payload operates entirely in memory, minimising artifacts on the disk.
3. Cross-Platform Overlaps
BrazenBamboo’s shared codebase across DEEPDATA, DEEPPOST, and LightSpy points to a centralised development effort, possibly linked to a Digital Quartermaster framework. This shared ecosystem enhances their ability to operate efficiently across macOS, iOS, and Windows systems.
Notable Attack Techniques
1. Memory Injection and Data Extraction
Using Reflective DLL Injection, DEEPDATA injects itself into legitimate processes, avoiding detection by traditional antivirus solutions.
Memory Scraping: Captures credentials and sensitive information in real-time.
Volatile Data Extraction: Extracts transient data that only exists in memory during specific application states.
2. Fileless Malware Techniques
DEEPDATA leverages fileless infection methods, where its payload operates exclusively in memory, leaving minimal traces on the system. This complicates post-incident forensic investigations.
3. Network Layer Evasion
By utilising encrypted DNS queries and certificate pinning, DEEPDATA ensures that network-level defenses like intrusion detection systems (IDS) and firewalls are ineffective in blocking its communications.
Recommendations
1. For Organisations
Apply Network Segmentation: Isolate VPN servers from critical assets.
Enhance Monitoring Tools: Deploy behavioral analysis tools that detect anomalous processes and memory scraping activities.
Regularly Update and Patch Software: Although Fortinet has yet to patch this vulnerability, organisations must remain vigilant and apply fixes as soon as they are released.
2. For Security Teams
Harden Endpoint Protections: Implement tools like Memory Integrity Protection to prevent unauthorised memory access.
Use Network Sandboxing: Monitor and analyse outgoing network traffic for unusual behaviors.
Threat Hunting: Proactively search for indicators of compromise (IOCs) such as unauthorised DLLs (data.dll, frame.dll) or C2 communications over non-standard intervals.
3. For Vendors
Implement Security by Design: Adopt advanced memory protection mechanisms to prevent credential leakage.
DEEPDATA is a form of cyber espionage and represents the next generation of tools that are more advanced and tunned for stealth, modularity and persistence. While Brazen Bamboo is in the process of fine-tuning its strategies, the organisations and vendors have to be more careful and be ready to respond to these tricks. The continuous updating, the ability to detect the threats and a proper plan on how to deal with incidents are crucial in combating the attacks.
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