NSFW AI is not intended for phishing prevention since the main aim of this tool is to detect and moderate porn or adult content. Though, in some cases where there is harmful or malicious content involved it can be helpful in phishing prevention. The Anti-Phishing Working Group (APWG) reported a 67% increase in phishing attacks compared to the previous year, with more than 200,000 phishing incidents occurring in just the first quarter of 2022. These attacks usually take the form of fake websites and emails that look exactly like they are from a trusted source, in order to gain access to peoples’ personal information. If we are ever encountering these circumstances, NSFW AI can assist by detecting phishing attempts containing malware or gamey content.
NSFW AI can scan images, text, and other design in messages or sites for NSFW materials proper or dubious hyperlinks impromptu phishing plans. So, say a phishing email includes vulgar words in the text and has malicious files or redirect link to the harmful siteNSFW AI could block them. A lot of phishing attacks feature fake social media posts or links to an email leading to a phishing website, and NSFW AI can moderate this type of threat by identifying high-risk URLs or content pertaining to these scams.
Phishing prevention is not much of an NSFW AI, as phishing prevention needs a dedicated toolset, and you need anti-phishing software or email filters that block emails with phishing content in them to prevent the attacks by phishing but it can also detect those types of fishing because they contain disturbing phatphic content that may be detected by using some strong nsfw tools Platforms that utilize AI to scour online spaces like email systems or social media, normally utilize text models and image recognition models to detect phishing attempts. They check for phishing or fraud in text, URLs and images. However, if traditional anti-phishing solutions are activated simultaneously with an NSFW AI algorithm across incoming messages, websites and attachments in real time, this can give businesses even more comprehensive phishing detection on top of existing capabilities.
For instance, as noted in a recent report from the Federal Trade Commission (FTC), phishing attempts have become increasingly advanced with the use of social media and image-based content. In these cases, NSFW AI was used for examining and flagging such images or links which might be used during phishing. Case in point, a major financial institution used detection based on AI to prevent phishing attacks directed against its customers with fraudulent job postings embedding pornographic images and links to phishing sites.
All of above aside, NSFW AI that helps identify phishing attempts does not cover all high risk phishing and can never replace dedicated anti-phishing solutions but only complement them. A Symantec report states that the should contain a well defined mix of both machine learning and human as well as multi-layered techniques are best used together to prevent phishing.
So, to summarize why NSFW AI is not necessarily going to prevent phishing, it does play a part in determining whether the content seen may be involved in phishing schemes that include explicit or harmful material. With the existing case of advanced detection system that are coming in the market nsfw ai becomes one of the preventive means to overcome phishing.