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Phishing is a form of social engineering that aims to get keep of personal data by proving the user to quickly provide their credentials to the threat actor. By far the most common cyber-attack, phishing is growing popularity among attackers.
According to the Anti-phishing Working Group latest report, phishing tries hit an all-time high in December 2021; Attacks triple since early 2020. In today’s life, phishing attempts occur daily, getting people via their private and company email accounts.
Attackers may choose to utilize many types of phishing attacks. The attacks will normally use a general set of phishing methods but vary concerning their goals and the channels force in the attack.
Examples for types of phishing attacks include:
Although generic phishing techniques will attract victims to enter their records or to click a malicious link, there are many more advanced techniques used by attackers that make phishing difficult to detect. We’ll give a pair of examples.
Phishing Sites Using Genuine Domains: Website builder tools like Weebly or Wix are delivering attackers with free, quick and simple templates to build sites for attacks. Since these websites are provided via genuine links, e.g., a site hosted on Wix platform, they are hard to spot and require a mixture of abilities from advanced threat detection tools, such as the skill to add new logic that will know new malicious URLs on the go, skill to adjust image identification capabilities to know new phishing site URLs and more.
Phishing Attacks using genuine file hosting services: Services such as WeTransfer and JUMBOmail can be easily and freely used by attackers to deliver malicious files. These websites clearly pass as genuine sites, so Advanced Threat Detection solutions will need to scan and capture each file before it is transferred or downloaded by the user, and files can be extremely large so scanning speed can be an problem.
Example 1: Using a legitimate file hosting service for sending a malicious file
The assignment of safeguarding employees and organizations from phishing attacks is not an simple one, however there are key practices that improved threat exposure security solutions must provide to necessarily protect against these attacks from ever successfully participating end-user inboxes.
In brand imitation phishing attacks, attackers imitate affected popular brands using the brand logo, brand signature, brand color pallet and language, and more. A superb example can be noticed in this recent OpenSea phishing attack where you cannot see the change between the malicious and actual site:
Example 2: Brand impersonation difficult to catch with the human eye
Image recognition is a key technology used to be able to validate if any URL is the genuine site it is claiming to be. Similarities that are difficult to detect using human eyesight are easily caught using algorithms that know the original brand and analyse the possibly malicious content (e.g., an email, or a URL) against it – not leaving it up to chance, if the user is able to spot the attempt or not.
Lexical analysis is another technique, helpful in deciding if a URL is malicious or not. In Lexical analysis, the structure of the URL is analysed to detect:
A Reputation vector is the collection of parameters provided on both the sender and recipient, obtained from the data and metadata collected on them. Data collected could be related to the authenticity of the IP or the domain that the email is being sent from and more. The reputation vector will eventually result in a score that will help in making the decision if any type of content is malicious or not.
Attackers will use related domain names that are visually very close to popular brands that they are fooling. A standard method to address fooled domains is to use a database of known domains, for example: Coca Cola and Microsoft, and then counting the number of differences. While this technique can work in some cases, it can be difficult to identify more modern confusions. Novel algorithms, available in enhanced email security solutions, substantially lower the success rate of such avoidance tries. A fine example is usage of biological algorithms that have been found to significantly help identify such fooling attempts.
Example 3: Spoofing the Instagram domain
In addition to using the techniques stated above, and checking possible threats against threat information sources, it is critical to energetically scan all URLs, including the ones buried several levels deep inside the original content that was sent. Scanning all URLs dynamically, also referred to as “Sandboxing”, will make sure new and unseen attacks, or new senders that look legitimate but are not, are identified. Next creation sandbox technologies will make this scan in a speedy and correct manner, getting rid of “traditional” sandboxing knowledges’ setbacks.
Phishing is one of the most common cyber-attacks. The range of techniques and their increasing complexity make phishing attacks trying to detect and intercept. By using an innovative threat detection solution with the right pattern of phishing avoidance techniques, companies don’t need to trust on their employees’ ability to identify complex phishing attacks, which often are ignored, resulting in major losses. Get the best quote from info@techbee.ae for Perception Point Email Security Solutions in Dubai.