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ChatGPT and Generative AI Used by Cybercriminals — Today's Amazon Deals - https://amzn.to/3FeoGyg —- ChatGPT and Generative AI Used by Cybercriminals Attacks from the opposite direction: AI algorithms may be taught to spot weaknesses in other AI systems and take advantage of them. An attacker may, for instance, produce an adversarial example that deceives an image recognition system into incorrectly categorising a picture.
Phishing: To construct convincing phishing emails and messages that are tailored to their targets, cybercriminals might employ AI and natural language processing technology. They may create messages that are more likely to be opened and clicked on, which might result in data breaches or malware infections, by using AI to study the target’s online activity and interests. AI-powered chatbots and virtual assistants can be used for social engineering to pose as genuine individuals and trick victims into disclosing sensitive information or doing activities that are advantageous to the attacker. For instance, a chatbot may pose as a customer support agent and con a victim into disclosing their login information.
Malware and ransomware: AI-powered malware and ransomware can elude detection by antivirus software and other security measures by using machine learning algorithms. These assaults, which have the potential to seriously harm both persons and corporations, can be carried out through phishing emails, malicious URLs, or other vectors.
Deepfakes: Deepfakes are modified photos or videos that convincingly pass for the real thing. Generative AI models may be utilised to produce these deepfakes. Deepfakes are a tool that cybercriminals may use to propagate false information or impersonate other people.
Password cracking: By speculating on potential character and symbol combinations, AI systems may be used to break passwords. Cybercriminals can develop strong password cracking tools that can easily access password-protected accounts by training AI models on big datasets of stolen credentials.
Automated assaults: Cybercriminals may launch extensive attacks with little effort by using AI to automate attacks on weak systems or networks. An attacker may utilise AI, for instance, to find and use flaws in a web application or to start a DDoS assault on a website.
Data analysis: Cybercriminals can find valuable information like credit card numbers, passwords, or personal information by using AI to examine vast datasets of stolen data. Afterwards, this data may be sold on the underground market or applied to new assaults.