Google blocks AI Powered Cyber Attack on 2FA and Megalodon Malware attack on GitHub #AI


Google blocks AI powered Cyber Attack on 2FA

Recent developments in cybersecurity have highlighted the growing threat posed by artificial intelligence and software supply chain attacks. Two major incidents involving Google and GitHub have raised concerns among security experts and technology companies worldwide.

Google recently confirmed that it successfully blocked an AI-powered cyberattack targeting a two-factor authentication (2FA) service. According to the company’s Threat Intelligence Group, the attackers attempted to exploit a server vulnerability using advanced AI-generated malware. The attack reportedly involved the misuse of Gemini AI tools to automate and scale the exploitation process. Security analysts believe the hackers were planning to target zero-day vulnerabilities on a massive scale before the attack was detected and stopped.

The malware used in the campaign was reportedly named “PROMPTSPY.” Investigators say the malicious software was designed to bypass authentication systems and compromise user accounts by taking advantage of weak or outdated server configurations. Fortunately, Google’s security teams acted quickly to contain the threat before it could spread widely across networks and services.

Following the incident, Google advised users and organizations to regularly update their software and strengthen their cybersecurity practices. The company also emphasized the importance of adopting more secure authentication methods such as biometric verification, including fingerprint and facial recognition systems, which are considered harder for attackers to compromise compared to traditional passwords and OTP-based systems.

Megalodon Malware hits 5,500 GitHub Repositories 

In another major cybersecurity development, GitHub has reportedly been affected by a large-scale supply chain attack known as “Megalodon.” Research conducted by cybersecurity firm SafeDep revealed that more than 5,500 repositories were infected through a sophisticated malware campaign.

According to researchers, Megalodon is a “Poisoned Pipeline Execution” attack that specifically targets automated workflows inside GitHub repositories. The malware infiltrates software development pipelines and allows attackers to exploit compromised workflows during controlled pipeline executions. This type of attack is especially dangerous because it can spread malicious code across multiple software projects without immediate detection.

The attack is believed to have first appeared on May 18, 2026, and was officially identified by GitHub on May 20. Security teams are currently investigating the full scale and impact of the breach. Experts warn that such attacks demonstrate how cybercriminals are increasingly targeting software supply chains to compromise developers, businesses, and end users simultaneously.

Both incidents underline the urgent need for stronger cybersecurity measures as AI-driven threats continue to evolve rapidly.

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National Cyber Security

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