High Risk IP Addresses

idratherbeslackl March 21, 2023 no Comments

High risk IP addresses  are the connection points between your computer, laptop, smartphone, smart TC, or even a Wi-Fi router and the Internet. They're a necessary part of your connectivity with the world, but they can also be a valuable target for hackers and cybercriminals. The most common way that someone can use your IP address is to hack into your account and steal your personal information. They can do this through a variety of methods, including phishing emails that are sent by scammers and fraudulent websites that are designed to look like your favorite online brands or services. Another way that they can access your IP is through the internet of things (IoT) devices you have connected to your home network. These devices include smart TVs, appliances such as smart ovens and fridges, and a range of other electronic items. Identifying High-Risk IP Addresses: Best Practices for Enhanced Cybersecurity and Fraud Prevention These devices are vulnerable to malware attacks, so if they're exposed to malicious software or have been hacked by a criminal, you could lose your data. It's essential to keep these IoT devices up to date with security patches and update them regularly so that they're protected against the latest attacks. Identity theft: Your IP address is a key component of your identity. It gives cybercriminals and scammers credible information about you that they can leverage to create convincing phishing attacks or to get into your accounts, such as your bank or credit card account. In addition, your IP is used to identify your location when you connect to the web and can help them determine where you are in the world - which can give them an advantage over other hackers.

Phishing Link Detection Using Multi-Feature Machine Learning

idratherbeslackl December 8, 2022 no Comments

Phishing links are links that are used for fraudulent purposes such as stealing private information or infecting a host with spyware. They are normally transmitted through electronic mail and are generally disguised as a legitimate website. Detecting these links is becoming increasingly difficult. How do I scan a phishing link? In order to detect these malicious links, researchers have developed several techniques using various machine learning algorithms. Machine learning is a branch of artificial intelligence that studies text and identifies patterns. Using these techniques, phishing link detection is possible. Phishing links are malicious HTML codes that imitate the URL address of a real website. These links are usually disguised as a bank site and steal account numbers or passwords. Hence, they are often regarded as a social engineering attack. Several security companies maintain a blacklist of known phishing websites. This list contains domain names, keywords, and certificates. It is a must to keep updated this list because phishing attacks are changing in nature. Traditional machine learning methods require extensive time to train and select features. However, they also reduce the classification efficiency. Hence, an effective technique is required to regulate retraining and maintain accuracy. Another approach is a fishing link detection method, which matches suspicious URLs with a phishing URL blacklist. This approach has the added advantage of being able to adapt to changes in phishing patterns. A more robust approach involves incorporating machine learning algorithms into the phishing link detection model. In particular, the paper discusses a multi-feature hybrid machine learning model.