#malware
Google Warns Hackers Used AI to Plan Massive Zero-Day Cyberattack
Google warned on Monday, May 12, 2026, that hackers attempted to use artificial intelligence tools to plan a large-scale zero-day cyberattack capable of bypassing two-factor authentication systems. The company’s Threat Intelligence Group (GTIG) said it has “high confidence” that cybercriminals used advanced AI models to identify and exploit an undisclosed software vulnerability before developers became aware of it. Officials said Google’s proactive discovery may have stopped what could have become a “mass vulnerability exploitation operation.” AI Security Threats Raise Industry Alarm The report highlights growing fears that AI-powered hacking tools are accelerating cyber threats against businesses, government agencies, and critical digital infrastructure worldwide. Google clarified that its own Gemini AI model was not involved. However, investigators found evidence that hackers were using publicly available AI systems, including OpenClaw, to discover software flaws, develop malware, and automate cyberattacks. Security analysts say AI-driven vulnerability discovery could dramatically reduce the time hackers need to launch sophisticated attacks. OpenAI and Anthropic Also Tighten Security The findings come as major AI companies increase restrictions on powerful cybersecurity-focused models. Last week, OpenAI announced limited access to GPT-5.5-Cyber for vetted security teams, while Anthropic previously delayed the release of its Mythos model over fears criminals could exploit older software vulnerabilities. According to Google, cyber groups linked to China and North Korea showed “significant interest” in using AI for vulnerability discovery and cyber operations, signaling a rapidly evolving global cybersecurity threat landscape.
Google Warns Hackers Used AI to Plan Massive Zero-Day Cyberattack
Google warned on Monday, May 12, 2026, that hackers attempted to use artificial intelligence tools to plan a large-scale zero-day cyberattack capable of bypassing two-factor authentication systems. The company’s Threat Intelligence Group (GTIG) said it has “high confidence” that cybercriminals used advanced AI models to identify and exploit an undisclosed software vulnerability before developers became aware of it. Officials said Google’s proactive discovery may have stopped what could have become a “mass vulnerability exploitation operation.” AI Security Threats Raise Industry Alarm The report highlights growing fears that AI-powered hacking tools are accelerating cyber threats against businesses, government agencies, and critical digital infrastructure worldwide. Google clarified that its own Gemini AI model was not involved. However, investigators found evidence that hackers were using publicly available AI systems, including OpenClaw, to discover software flaws, develop malware, and automate cyberattacks. Security analysts say AI-driven vulnerability discovery could dramatically reduce the time hackers need to launch sophisticated attacks. OpenAI and Anthropic Also Tighten Security The findings come as major AI companies increase restrictions on powerful cybersecurity-focused models. Last week, OpenAI announced limited access to GPT-5.5-Cyber for vetted security teams, while Anthropic previously delayed the release of its Mythos model over fears criminals could exploit older software vulnerabilities. According to Google, cyber groups linked to China and North Korea showed “significant interest” in using AI for vulnerability discovery and cyber operations, signaling a rapidly evolving global cybersecurity threat landscape.
FBI warns of sharp rise in ATM jackpotting attacks across US
The Federal Bureau of Investigation has issued a nationwide alert to banks and financial institutions, warning of a significant rise in ATM jackpotting attacks, a form of cyber-enabled theft that forces machines to dispense cash without legitimate transactions. Authorities say the trend is accelerating, with financial losses mounting as criminal groups refine their techniques and expand operations across the United States. According to federal officials, nearly 1,900 ATM jackpotting incidents have been reported nationwide since 2020. More than 700 of those cases occurred in 2025 alone, resulting in losses exceeding $20 million. The sharp increase has prompted urgent calls for banks to strengthen ATM security controls, monitor suspicious activity more closely, and share threat intelligence with law enforcement. At the center of the surge is malware from the Ploutus family, a tool specifically designed to hijack ATM systems. Rather than targeting individual customer accounts, the malware attacks the machine’s internal software layer. It exploits the Extensions for Financial Services, or XFS, which normally manages how ATMs physically dispense cash. By injecting unauthorized commands into this layer, attackers can override standard authorization checks and trigger withdrawals without bank approval, card use, or customer credentials. Security analysts warn that once installed, the malware can give criminals direct control of the machine. Because many ATMs operate on widely used operating systems, the attack can often be adapted across different manufacturers with minimal modification. In many cases, cash-out operations can be completed within minutes, allowing perpetrators to leave before alerts are triggered or the machine runs empty. Investigators emphasize that physical access remains the most common entry point for these attacks. Criminals frequently use generic keys to open ATM cabinets and then deploy malware using one of two primary methods. In some incidents, the machine’s hard drive is removed, infected on a separate computer, and reinstalled. In others, the original drive is replaced entirely with a compromised device preloaded with malicious software. Because the malware operates independently of standard banking communications, it can dispense cash without interacting with customer accounts or triggering traditional fraud detection systems. Officials have outlined several warning signs that may indicate a compromised ATM, including unexpected door alerts outside maintenance windows, sudden low-cash notifications, unauthorized devices connected to the machine, missing or tampered hard drives, and machines abruptly marked out of service. Financial institutions are being urged to review physical security protocols, enhance monitoring of service patterns, and report suspicious activity promptly as part of a broader effort to contain the growing ATM cyberattack threat.
FBI warns of sharp rise in ATM jackpotting attacks across US
The Federal Bureau of Investigation has issued a nationwide alert to banks and financial institutions, warning of a significant rise in ATM jackpotting attacks, a form of cyber-enabled theft that forces machines to dispense cash without legitimate transactions. Authorities say the trend is accelerating, with financial losses mounting as criminal groups refine their techniques and expand operations across the United States. According to federal officials, nearly 1,900 ATM jackpotting incidents have been reported nationwide since 2020. More than 700 of those cases occurred in 2025 alone, resulting in losses exceeding $20 million. The sharp increase has prompted urgent calls for banks to strengthen ATM security controls, monitor suspicious activity more closely, and share threat intelligence with law enforcement. At the center of the surge is malware from the Ploutus family, a tool specifically designed to hijack ATM systems. Rather than targeting individual customer accounts, the malware attacks the machine’s internal software layer. It exploits the Extensions for Financial Services, or XFS, which normally manages how ATMs physically dispense cash. By injecting unauthorized commands into this layer, attackers can override standard authorization checks and trigger withdrawals without bank approval, card use, or customer credentials. Security analysts warn that once installed, the malware can give criminals direct control of the machine. Because many ATMs operate on widely used operating systems, the attack can often be adapted across different manufacturers with minimal modification. In many cases, cash-out operations can be completed within minutes, allowing perpetrators to leave before alerts are triggered or the machine runs empty. Investigators emphasize that physical access remains the most common entry point for these attacks. Criminals frequently use generic keys to open ATM cabinets and then deploy malware using one of two primary methods. In some incidents, the machine’s hard drive is removed, infected on a separate computer, and reinstalled. In others, the original drive is replaced entirely with a compromised device preloaded with malicious software. Because the malware operates independently of standard banking communications, it can dispense cash without interacting with customer accounts or triggering traditional fraud detection systems. Officials have outlined several warning signs that may indicate a compromised ATM, including unexpected door alerts outside maintenance windows, sudden low-cash notifications, unauthorized devices connected to the machine, missing or tampered hard drives, and machines abruptly marked out of service. Financial institutions are being urged to review physical security protocols, enhance monitoring of service patterns, and report suspicious activity promptly as part of a broader effort to contain the growing ATM cyberattack threat.
New Malware "Ferret" Targets MacBook Users, Linked to North Korean Hackers
A new malware family named Ferret has been identified by researchers at SentinelLabs, posing a significant threat to MacBook users. This malware is linked to North Korean hackers and cybercriminal groups. Ferret is an evolution of previous malware variants and disguises itself as a legitimate Google Chrome update file. By mimicking legitimate Chrome code, Ferret is able to bypass security applications and scanning systems.The malware enters a MacBook when the user is deceived into downloading
New Malware "Ferret" Targets MacBook Users, Linked to North Korean Hackers
A new malware family named Ferret has been identified by researchers at SentinelLabs, posing a significant threat to MacBook users. This malware is linked to North Korean hackers and cybercriminal groups. Ferret is an evolution of previous malware variants and disguises itself as a legitimate Google Chrome update file. By mimicking legitimate Chrome code, Ferret is able to bypass security applications and scanning systems.The malware enters a MacBook when the user is deceived into downloading









