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Rising Cyber Threats in Q3 2024: AI’s Dual Role in Attacks and Defense

Q3 2024 saw a surge in cyber threats with a 614% rise in self-scam attacks. AI’s dual role: powering deepfakes and bolstering cybersecurity defenses.

 

The Q3 2024 Threat Report from Gen unveils a concerning rise in the sophistication of cyber threats, shedding light on how artificial intelligence (AI) is both a tool for attackers and defenders. 

As cybercriminals evolve their tactics, the line between risk and resilience becomes increasingly defined by proactive measures and advanced technology. One significant trend is the surge in social engineering tactics, where cybercriminals manipulate victims into compromising their own security. A staggering 614% increase in “Scam-Yourself Attacks” highlights this evolution. 

Often, these attacks rely on fake tutorials, such as YouTube videos promising free access to paid software. Users who follow these instructions unknowingly install malware on their devices. Another emerging strategy is the “ClickFix Scam,” where attackers pose as technical support, guiding victims to copy and execute malicious code in their systems. Fake CAPTCHA prompts and bogus software updates further trick users into granting administrative access to malicious programs. 

Data-stealing malware has also seen a significant rise, with information stealers increasing by 39%. For instance, the activity of Lumma Stealer skyrocketed by 1154%. Ransomware attacks are also on the rise, with the Magniber ransomware exploiting outdated software like Windows 7. Gen has responded by collaborating with governments to release free decryption tools, such as the Avast Mallox Ransomware Decryptor, to help victims recover their data. Mobile devices are not spared either, with a 166% growth in data-stealing malware during Q3 2024. 

The emergence of NGate spyware, which clones bank card data for unauthorized transactions, underscores the growing vulnerabilities in mobile platforms. Banking malware, including new strains like TrickMo and Octo2, has surged by 60%, further amplifying risks. Malicious SMS messages, or “smishing,” remain the most common method for delivering these attacks. According to Norton Genie telemetry, smishing accounted for 16.5% of observed attacks, followed by lottery scams at 12% and phishing emails or texts at 9.6%. 

AI plays a dual role in these developments. On one hand, it powers increasingly realistic deepfakes and persuasive phishing campaigns, making attacks harder to detect. On the other hand, AI-driven tools are vital for cybersecurity defenses, identifying threats and mitigating risks in real time. 

As cyber threats grow more complex, the Q3 2024 report underscores the urgency of staying vigilant.
Proactive measures, such as regular software updates, using advanced AI-powered defenses, and fostering awareness, are essential to mitigate risks and safeguard sensitive information. The battle against cybercrime continues, with innovation on both sides defining the future of digital security.
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