Artificial Intelligence and Modern Cyberattack Methods: A New Era of Crypto Wallet and Corporate Data Security Threats in 2025

The use of artificial intelligence (AI) in cybercrime is significantly changing the methods and tactics of attackers, actively influencing the vulnerability of security systems, including attacks on private keys of Bitcoin wallets. Analysis of modern research and data in the field of cybersecurity shows that AI is becoming a powerful tool for criminals, significantly complicating, scaling and increasing the sophistication of cyberattacks.

Automation and acceleration of attacks
AI allows attackers to automate many stages of cyberattacks that previously required manual work. Generative AI models quickly create malicious code, phishing messages, and even deepfake content. This leads to a significant reduction in the preparation time of attacks and an increase in their scale. Fast script generation and automated vulnerability selection make it easier to carry out complex attacks with minimal time investment.falcongaze.com+2
Increased accuracy and personalization of attacks
Machine learning methods analyze large amounts of data about potential victims: their behavior on social networks, password leaks, and other data. The collected information allows you to create particularly convincing and personalized phishing attacks and fake messages. AI takes into account the psychological characteristics of the target, which significantly increases the effectiveness of social engineering.chatinfo.ru+1
Intelligent vulnerability scanning
AI systems can identify vulnerabilities, including previously unknown (zero-day) and logical errors in software, several times faster and more accurately. This capability expands the arsenal of attackers, allowing them to attack a wider range of targets with less manual effort.chatinfo.ru+2
Semi-automated and future fully automated attacks
Although there are no recorded cases of fully autonomous AI cyberattacks to date, the trend towards such technologies is clear. Criminals are already using AI as a digital assistant to improve work efficiency, and in the near future, we can expect to see highly automated attacks that reduce the need for human intervention.falcongaze.com+1
Scaling Distributed Attacks
With the help of AI, attackers manage thousands of fraudulent accounts and scale phishing campaigns to tens of thousands of messages daily. AI enables rapid adaptation to changes in security systems, making such campaigns more resilient and difficult to stop.falcongaze.com+2
Creating sophisticated fakes with AI
Deep learning can generate high-quality deepfakes — fake voices, videos, and texts that are extremely difficult to distinguish from the original. This opens up new opportunities for fraud, social engineering, and deception at the highest level, including impersonating CEOs and celebrities.asu-analitika.ru
Bypassing Security Systems and Adapting Malware
AI-powered malware can learn from a victim’s defense mechanisms, and modify its behavior to evade detection systems. This poses a major challenge for cybersecurity services as traditional defense methods become less effective.asu-analitika.ru+1
Saving attackers’ resources
The use of AI significantly reduces the time and financial costs of preparing and carrying out attacks, expanding the availability of cybercrime to a wider range of people. This leads to an increase in the number of incidents and an increased load on cybersecurity systems.asu-analitika.ru

Thus, artificial intelligence is transforming the tactics of cybercriminals, moving from simple mass attacks and password guessing to complex, adaptive and almost “smart” attacks. The combined use of AI and traditional methods creates new challenges for the security industry, requiring the development of innovative defense strategies, also based on AI technologies.

These findings are supported by analysis from leading cybersecurity experts and research organizations, as well as data published in 2024-2025 studies. In 2025, AI technologies not only pave the way for new opportunities and advantages, but also pose serious threats in the digital space, requiring continuous improvement of security solutions and regulations.falcongaze.com+4

Sources:
FalconGaze, “Cybercrime in 2025: New Data Leak Schemes” (2025)falcongaze.com
ChatInfo, Artificial Intelligence Report chatinfo.ru
TAdviser, “Artificial Intelligence in Crime” (2025)tadviser.ru
E
ESET, “Artificial Intelligence in 2025 — a Threat or a Benefit?” (2025)
AS ASU-Analitika, “10 Advantages and Disadvantages of Artificial Intelligence”
PowerDMARC, “AI in Cybersecurity in 2025”powerdmarc.com
From Izvestia, “Chatny Detective: AI Development May Lead to a Multiple Increase in Crime in 2025”

FalconGaze’s 2025 report details emerging cybercrime data breach patterns that reflect modern threats and trends in digital security.

Key hard facts from FalconGaze’s Cybercrime 2025: Emerging Data Leak Patterns report include:

Deepfakes and Synthetic Data Manipulation
Deepfakes have become highly realistic, allowing attackers to create fake videos, audio recordings, messages, and documents. This greatly expands the possibilities of social engineering and disinformation. Attacks are aimed at impersonating executives and top managers to deceive employees and gain access to critical information. This reduces trust in digital communications and makes it difficult to verify the authenticity of the data received.
Zero-day vulnerabilities and insider threats
Zero-day vulnerabilities are hidden bugs in software that are not patched by the manufacturer and that are actively sought out by attackers. In parallel, there is an increase in threats from insiders – employees or partners who can intentionally or unintentionally facilitate leaks or sabotage. These factors lead to serious economic and legal consequences for companies.
Innovative cyber attacks on cryptocurrency wallets
FalconGaze points to the use of malware, such as SpyAgent for Android, which uses optical character recognition (OCR) technology to steal crypto wallet recovery phrases. Obtaining such data allows attackers to control and empty digital assets.
Large-scale data breaches and financial incidents
An example of a major incident is the cyber attack on payment gateway Slim CD, which resulted in the disclosure of data on 1.69 million customers, including card numbers, expiration dates and personal data. The attackers had access to the system for more than 10 months before the breach was discovered, demonstrating the high degree of stealth and difficulty in detecting modern attacks.
Rise in sophisticated malware and use of automation
The FalconGaze report describes campaigns involving hundreds of apps that are able to bypass the security restrictions of mobile platforms (such as Android) by disguising themselves as legitimate services. These malware programs steal user data and exhibit signs of automation, making them difficult to combat.
The role of FalconGaze data protection systems and software solutions
In response to threats, the company is developing the SecureTower DLP (Data Loss Prevention) system, which helps detect and prevent insider attacks, monitor network traffic, control devices used, and provide protection against complex cyberattacks.

Thus, the FalconGaze 2025 report confirms that cybercrime is evolving towards more complex and large-scale threats using advanced technologies, including artificial intelligence and synthetic data. This requires strengthening cybersecurity, using innovative protection tools and constant risk monitoring.

What new data leak patterns are described in the FalconGaze 2025 report

The FalconGaze 2025 Cybercrime Report highlights the following emerging data breach patterns that reflect modern threats and the sophistication of criminal methods:

Deepfakes and Synthetic Data
Deepfake technology allows you to create realistic fake videos, audio, and documents. Attackers use them to imitate executives and top managers in order to deceive employees and gain access to important information. This reduces trust in digital communications and makes it difficult to verify the authenticity of data.falcongaze.com
Zero-day vulnerabilities and insider threats
Hackers actively seek out and exploit hidden, unpatched software bugs (zero-day vulnerabilities). In addition, insiders — employees or partners — may knowingly or accidentally facilitate leaks and sabotage, which threatens economic and legal consequences for organizations.falcongaze.com
Attacks on cryptocurrency wallets
Malware such as SpyAgent for Android uses OCR technology to steal crypto wallet recovery phrases, allowing criminals to gain overall control over digital assets.falcongaze.com
Large-scale data leaks and stealth attacks
An example is the attack on the Slim CD payment gateway, which exposed the data of 1.69 million customers, including card numbers and personal information. The attackers remained undetected for more than 10 months, which demonstrates the high sophistication of modern attacks.falcongaze.com
Growing Quantity and Quality of Malware
Campaigns involving hundreds of malicious apps bypass the protections of mobile platforms (such as Android) by disguising their functionality as legitimate services and displaying signs of automation, making them difficult to detect.falcongaze.com
Undocumented commands in mass-market IoT devices
The report mentions the problem of the ESP32 microcontroller, used in a billion devices, with undocumented commands – “backdoors”. They can be used to spoof trusted devices, unauthorized access and long-term presence of attackers on the network.t.me
The role of DLP systems in leak prevention
FalconGaze is developing the SecureTower system, which provides control over network traffic, monitoring communications in messengers and identifying insider threats, including by recognizing seals and other elements on documents being sent.falcongaze.com+1

Thus, the FalconGaze report highlights that in 2025, data leak schemes have become more technologically advanced, large-scale and sophisticated, with the active use of artificial intelligence, automation and social engineering, which requires enhanced cybersecurity measures and the implementation of innovative solutions to protect information.falcongaze.com+2

How FalconGaze Uses Telegram Interception to Fight Cybercrime

FalconGaze uses Telegram messaging interception technology as part of its SecureTower software suite to combat cybercrime and prevent corporate information leaks. The main principles and capabilities of this technology are as follows:

Corporate communications monitoring: FalconGaze monitors Telegram correspondence, including personal chats and group conferences with more than two participants, if they pass through employees’ work computers within the corporate perimeter. At the same time, personal correspondence not related to corporate equipment is not intercepted.
Interception of text, voice messages and files: SecureTower can intercept not only text messages, but also voice notifications, as well as all transferred files, including images and videos, which allows for maximum control over the information being transmitted.
Application in a DLP system to prevent leaks: This technology is part of a data leak prevention (DLP) system that analyzes and filters corporate communications, identifying attempts to transmit confidential information outside the organization. SecureTower controls many data transmission channels, including other popular instant messengers (ICQ, Viber, Skype, etc.).
Technical implementation: Interception is implemented using SecureTower agents installed on workstations, which allows monitoring without significant interference in the work of users.
Objectives and goals: FalconGaze aims to provide companies with tools to protect against internal and external espionage, identify disloyal employee behavior, prevent leaks and financial losses associated with the unauthorized distribution of corporate data via instant messengers.

Thus, Telegram interception in the FalconGaze SecureTower system is a comprehensive solution for monitoring and protecting corporate information, which helps organizations effectively counter internal and external threats associated with the use of instant messengers for work purposes.anti-malware.ru+3

ChatInfo presents a modern report on artificial intelligence (AI) in 2025, reflecting the current capabilities, applications and impact of AI on various fields of activity.

The following reliable facts and key details can be highlighted from the ChatInfo report:

Widespread use of AI chatbots
ChatInfo offers advanced chatbots based on GPT-4 and GPT-3.5, available online for free in Russian. These neural networks are designed to quickly and accurately answer user questions, covering a wide range of topics – from simple everyday queries to complex professional tasks. Thus, AI becomes a convenient assistant in education, business, medicine, IT and other areas.
Automating Routine Tasks
The report highlights that AI chatbots save users significant time by taking over functions such as writing, scheduling, researching information, and increasing the uniqueness of content. This frees up people to do more creative and strategic work.
Constant training and improvement of neural networks
ChatInfo neural networks are constantly trained on huge volumes of texts in different languages, thanks to which they become more accurate and better understand the context of requests. This allows you to create meaningful and logical answers, which has earned recognition from leading companies and users.
Accessibility and ease of use
The ChatInfo platform allows you to use AI without the need for registration, SMS or additional payments, which simplifies access to intellectual resources and promotes the mass use of AI technologies among a wide audience.
Diversity of functions and capabilities
The report notes that ChatInfo has implemented functions not only for communicating with AI, but also for generating and supplementing text content, which helps to create more creative and unique materials for various purposes: from marketing to educational projects.
The Role of AI in Modern Society
ChatInfo experts emphasize that artificial intelligence is not the future, but already the present, changing the ways of obtaining knowledge, communicating and doing business. AI technologies make processes more efficient and allow for quick adaptation to new challenges.
AI Development Prospects
The report points to the continued development and improvement of AI capabilities, which will enable the expansion of its areas of use and the improvement of automated services, including user support and training assistance.

Thus, the ChatInfo 2025 report confirms that artificial intelligence is becoming an integral part of everyday life and professional activity, contributing to automation, increased efficiency and comfort in many areas. The ChatInfo platform, as one of the leading Russian projects in the field of AI, demonstrates current trends and technologies aimed at the widespread implementation and use of intelligent systems to solve practical problems.

These findings are based on data and descriptions published on the official ChatInfo website in 2025, as well as on analytical materials on the development of artificial intelligence technologies in Russia and the world.

The use of malware to attack cryptocurrency wallets has gained new relevance in 2025 and demonstrates the high sophistication of criminal methods. One of the most dangerous tools in the arsenal of cybercriminals is the SpyAgent program for Android, which uses optical character recognition (OCR) technology to steal crypto wallet recovery phrases. This technology allows you to capture text information displayed on the device’s screen, even if it is protected or hidden from regular copying.

Recovery phrases (or seeds) are a key element of crypto wallet security, giving full control over the owner’s digital assets. If attackers obtain such phrases, they gain full access to the wallet and can transfer funds without any restrictions, which makes this type of attack extremely dangerous.

Modern malware, including SpyAgent, operates stealthily and efficiently, intercepting data as it is entered or displayed on the screen, significantly increasing the likelihood of successful theft. Attackers distribute such programs through phishing sites, fake applications, and through social engineering, involving victims in installing malware under the guise of useful software.

In 2025, the rise of such attacks is accompanied by a general increase in the number and scale of cryptocurrency asset compromises. Cybercriminals use AI to automate the creation of phishing messages and identify vulnerable users, which further increases the effectiveness of these threats. In particular, massive attacks on exchanges and wallets have been accompanied by the theft of billions of dollars, for example, the largest theft in the history of cryptocurrencies on the Bybit exchange reached about $ 1.5 billion, a significant part of which was obtained precisely through the compromise of private keys and recovery phrases.

Experts emphasize that protecting cryptocurrency wallets in 2025 requires a comprehensive approach, including:

Using hardware wallets that minimize the risk of recovery phrases being intercepted;
Use of multi-factor authentication and enhanced security measures;
Be careful when installing applications and clicking on unverified links;
Train users to identify phishing methods and social engineering.

Thus, OCR malware such as SpyAgent for Android is becoming one of the most serious threats to cryptocurrency wallet security, allowing criminals to gain full control over digital assets by stealing recovery phrases. This problem is confirmed by analytical reports and incidents from May-July 2025, recording an increase in attacks and financial losses in the crypto industry.

Sources and evidence include the latest 2025 cybersecurity and cryptocrime reports and news, including data from Chainalysis, Hacken, TRM Labs, and mobile malware incident analysis.vc.ru+4

How Malware Like SpyAgent Steals Crypto Wallet Recovery Phrases

Malware like SpyAgent steals cryptocurrency wallet recovery phrases using optical character recognition (OCR) technology. It works like this:

Users often save recovery phrases (seed phrases) as images, such as screenshots or photos on their mobile devices for easy storage. These phrases consist of 12-24 words and are the key to accessing the wallet and all its funds.
SpyAgent scans the device memory (for example, the image gallery) and finds such saved images with recovery phrases.
The malware module uses OCR to recognize text written on these images. This technology allows text to be extracted even from images that bypass traditional protection methods that focus on tracking keystrokes or interfering with input.
After recognizing the recovery phrase, the program automatically transfers this data to the attackers’ servers, who gain full control over the victim’s crypto assets.
SpyAgent operates covertly, disguises itself, is very difficult to detect by antivirus software and is often distributed through infected Android apps, fake SMS or phishing.
McAfee experts have recorded more than 280 infected applications with this malware, and also reported the presence of versions for iOS.

Thus, SpyAgent exploits a vulnerability in the way recovery words and phrases are stored and protected, turning images with them into an accessible source for stealing digital assets. This makes such attacks extremely dangerous and effective from a technical point of view.

Source: McAfee and other cybersecurity experts analyze SpyAgent OCR malware (2024–2025).block-chain24.com+2

Sources of quotes:
FalconGaze, “Cybercrime in 2025: New data leak patterns”falcongaze.com
FalconGaze, information about ESP32 vulnerabilities t.me
TAdviser, FalconGaze SecureTower description tadviser.ru