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Source Checkpoint.webp Checkpoint
Identifiant 8643334
Date de publication 2025-01-27 13:00:59 (vue: 2025-01-27 14:08:03)
Titre Introducing HT-ML Guard to Automatically Analyze and Secure HTML Files
Texte >Highlights: HTML files are being used in phishing attacks, mimicking trusted websites HT-ML Guard is designed to analyze HTML files and accurately determine whether they are malicious, enhancing cyber security defenses. Check Point Harmony Email and Collaboration customers remain protected against this type of attack. HTML files are commonly used in the initial stages of cyber attacks. Cyber criminals craft these files to look legitimate, tempting unsuspecting users into a false sense of security. The main goal of these malicious HTML files is to deceive users into either disclosing sensitive information, such as login credentials and personal details, or downloading […]
>Highlights: HTML files are being used in phishing attacks, mimicking trusted websites HT-ML Guard is designed to analyze HTML files and accurately determine whether they are malicious, enhancing cyber security defenses. Check Point Harmony Email and Collaboration customers remain protected against this type of attack. HTML files are commonly used in the initial stages of cyber attacks. Cyber criminals craft these files to look legitimate, tempting unsuspecting users into a false sense of security. The main goal of these malicious HTML files is to deceive users into either disclosing sensitive information, such as login credentials and personal details, or downloading […]
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Condensat >highlights: accurately against analyze are attack attacks automatically being check collaboration commonly craft credentials criminals customers cyber deceive defenses designed details determine disclosing downloading either email enhancing false files goal guard harmony html information initial introducing legitimate login look main malicious mimicking personal phishing point protected remain secure security sense sensitive stages such tempting these trusted type unsuspecting used users websites whether
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