How It Works ?

Why Phishing is Crucial

“CISOs and teams of security architects need to put as many impediments in front of threat actors as possible to deter them, because the threat actor only has to be successful one time, while the CISO/security architect has to be correct 100% of the time,” The number of phishing attacks continues to grow. Phishing sites are designed to evade detection by block lists, crawling engines and law enforcement. Additionally, because the majority of today’s phishing sites are active for hours, not days, static phishing lists are too slow to keep up. By the time blocklists are published, many of the sites they contain are no longer active. You need answers in milliseconds, not days. Phishing is a type of cyber attack in which the crook tries to impersonate a person or company to deceive the victim. This scam is a major threat in the cybersecurity world, and is especially worrisome for businesses. Email attacks against the enterprise are now more sophisticated than they ever have been in the past. Threats such as phishing and business email compromise can be highly targeted, putting businesses at risk of compromise. Phishing attacks are now the number one cause of data breach against the enterprise. Phishing is successful because it exploits the weaknesses found in email security technologies. Email systems have robust technologies in place to stop spam and malware attacks, but phishing is able to slip through the gaps, leaving many organizations vulnerable. To tackle these phishing threats, a new generation of email security has emerged, which utilizes machine learning and artificial intelligence to identify and block phishing attacks against the enterprise. Phishing and spear phishing attacks are particularly difficult for email technologies to stop. “Phishing emails are unique threats, which is a challenge.” “Spam emails always follow the same template and are often from domains that can be very quickly classified as malicious. Phishing attacks on the other hand, do not follow these patterns.” “These attacks are highly dynamic. “They may all look the same, but they will be using random code, or some visual differences that we cannot perceive from the human eye.” “So, instead of scanning just the code of the email, we need to scan the rendering of the email, and scan the URLs contained in the email in real time. Phishing attacks have truly become a scourge for organizations worldwide. From garage stores to the largest enterprises, email-based, phone-based or SMS-based phishing attacks and social engineering attempts have spared no one. Phishing and social engineering attacks target the human element at all organizations, appealing to people’s curiosities and needs and exploiting their trust to lure them into sharing sensitive data, credentials, or even money.

Why AI

artificial intelligence (AI) and machine learning (ML) are needed to accelerate and automate the quick decision-making process needed to identify and respond to advanced cyber threats. AI is designed to give computers the responsive capability of the human mind. The ML discipline falls under the umbrella of AI. It continuously analyzes data to find existing patterns of behavior to form decisions and conclusions and, ultimately, detect novel malware. Rather than filtering email before they enter your email networks, these solutions sit inside the email inbox, and use artificial intelligence to identify and remove malicious email. For the user, the effect is the same, malicious email content is stopped before it can be opened. Traditional solutions rely on categorizing known and unknown threats using anti-virus scanning engines. But these make it difficult to stop attacks that don’t contain any malware or malicious URLs. Using machine learning allows security technologies to recognize patterns in attacks, without relying on basic classification. machine learning and artificial intelligence powered email security as being a crucial component in the future of email security. “For sure AI is going to be an important part of multi-layered email security going forward, ai ml threat intel -- combination of different security tools will be the best way for organizations to stay secure.

AI+ML+Threat Intelligence

A- Human Factor transferred in to AI

Data is growing. Data is changing. For the first time in human history, the world’s data is so big and so visual, that humans can no longer cope or make sense of it. Even if they could, it would tie them up doing mundane, binary work. We believe Visual-AI is the force that enables and liberates humans to do more, create more and discover more. It automates the binary tasks, so humans can do more of the augmented and collaborative tasks. After all, it’s when humans actually think and collaborate with colleagues that amazing things happen. AI has brought speed, accuracy and the ability to do a much more thorough analysis. That’s why here at PHISHUP we invest a lot of time and energy in developing our artificial intelligence. Besides analyzing and categorizing email the moment it arrives, AI can do so on a larger scale much faster and more accurately when compared to the traditional model based on rules and filters. Using database and big data analysis, it identifies spam, phishing, spear phishing, and other types of attacks by taking into account the message content and context.

PHISHUP leverages advanced machine learning and content classification to automate the detection of phishing sites. The service crawls and evaluates requested URLs in milliseconds using hundreds of site attributes as well as external factors associated with the site. With PHISHUP Anti-Phishing, you get up-to-the-minute intel on zero-hour phishing activities.

PHISHUP Real-Time Anti-Phishing Service enables security vendors to leverage time-of-need web page (or URL) scans to prevent users from visiting malicious sites.

PHISHUP is an advanced phishing protection solution that keeps organizations safe from today’s sophisticated phishing attacks such as credential phishing and business email compromise (BEC) attacks.

PHISHUP visually analyzes and inspects content of emails, including URLs, their destination landing page, and attachments using Computer Vision and AI technology to stop phishing emails and websites in real-time - before they have been reported or added to deny lists. Protect catches what SEGs miss, including multi-level attacks with redirects, phishing attachments with in-line HTML attachments, fraudulent images asking for login credentials, BEC, and new and unknown URLs which do not appear on deny lists.

PHISHUP is a cloud-native, advanced phishing detection and email analysis technology. It is built to stop advanced attacks that circumvent basic detection mechanisms baked into the Microsoft O365 and Google Workspace offerings. Users benefit from the power of computer vision to detect in real-time the sophisticated attacks which elude SEGs globally today.

B- Visual Inspection with AI

Cybersecurity companies are in an arms race with bad actors. The more technologies you put in place to detect and block phishing content, the more technologies bad actors implement to evade detection. PHISHUP’s AI doesn’t look at code or use fingerprints – it looks at emails and web pages with ‘human’ eyes, but at machine speed, to flag and score high-risk elements it finds, allowing phishing detection systems to prioritise further and deeper analysis. Our phishing detection PHISHUP-AI was developed to be integrated and work in harmony with a platform’s existing AI-based detection methods. Providing an early warning system that detects high-risk brands and other visual factors in emails and websites. Built on a dedicated and proprietary technology stack that can provide instant analysis and detection. No buzzwords or impossible promises, only results that are trusted by some of the leading anti phishing/ cybersecurity platforms in the world.

PHISHUP uses our patent-pending technology to detect phishing attacks by visually analyzing and inspecting emails, URLs, landing pages, and attachments. Near instantaneous decisions are made on whether the email is likely malicious. Phishing attacks are detected as they arrive and are moved away from the user’s inbox.

PHISHUP deactivates the malicious links so they are no longer a threat to users, unlike other solutions which apply a “suspicious” banner but leave the links intact.

PHISHUP is collected from numerous remote sensors and compiled into vast collections that are then vetted by humans for the greatest accuracy. While there are many different providers of generalized threat intelligence, PHISHUP specifically targets phishing threats to provide the greatest level of relevance and focus on the largest culprit of breaches.

C- AI and Machine Learning–( How artificial intelligence and machine learning fight phishing )

PHISHUP Real-Time Anti-Phishing Service is the only truly effective live protection against zero-hour phishing attacks. We apply advanced machine learning using thousands of feature vectors. For nearly a decade, these feature vectors have been trained to consistently monitor for the latest phishing trends. We determine whether the site is phishing at the precise moment it is encountered, meaning our analysis and determinations are never stale. This approach allows for a highly effective phishing determination engine with a false positive rate consistently below 1%.

Stopping Phishing Attacks in Their Tracks
PHISHUP Real-Time Anti-Phishing Service crawls potential phishing links and determines their risk level in real-time, helping prevent security breaches and data loss by leveraging advanced machine learning and content classification to automate phishing detection. The service crawls and evaluates requested URLs in milliseconds using hundreds of site attributes as well as external factors associated with the site. This includes correlated intelligence from the contextual analysis engine, such as the reputation of embedded links, the geolocation of the hosting IPs, the length of time the site has existed and the history of threats on that domain. The service returns a risk score for each requested URL.

The machine learning algorithm needs to factor in device detection, location, and user behavior patterns. The engine needs to have the capacity to analyze millions of data points so it is likely cloud-based. It needs to learn over time and protect every end point connected to WiFi or a network. Predictive modeling-based machine learning data needs to be captured at the device endpoint. We already know that artificial intelligence and machine learning can make email analysis faster and more accurate, but the main question we want to address is: How exactly do we work to prevent and fight phishing? Looking for anomalies and warning signals Effective systems based on artificial intelligence and machine learning, such as our email security solution, look for anomalies and warning signals for phishing throughout the email This includes, for example, alerts based both on email behavior (e.g. forged senders) and message intent (such as urgent topics). A sense of urgency in the message, by the way, is one of the main signs of a phishing scam. If the email requires quick action and uses words that show urgency, the warning signal is lit. AI then works to identify and understand the context of the message, checking if it’s a common spam, a phishing attack or a legitimate message. The same logic applies to warning signs in the email header. For example, AI identifies cases of email spoofing (forged senders), misspelled domains, and other types of spoofing. Coupled with traditional engines such as SPF, DKIM and DMARC, the system greatly extends threat detection capabilities. Analyzing the message context Another key point that helped establish AI as one of the biggest defenses against phishing is its ability to examine a message based on context. That way, an email isn’t just compared to other existing phishing scams; it’s analyzed as a whole. This allows us to assure, for example, that PHISHUP’s artificial intelligence is constantly evolving, always learning and adapting to each client’s style and needs. AI and ML: allies in fighting phishing As we’ve seen, artificial intelligence is an important ally in fighting phishing. Basically, it uses data analysis and machine learning to examine metadata, content, context, and typical user behavior. This way, it quickly and accurately identifies potential threats and anomalies in emails.

IP Reputation Intelligence

• Analyze billions of internet transactions in web and email traffic in real-time to expose high-risk IP addresses that serve spam, phishing and malicious links, as well as malware files
• Apply unique technologies and algorithms to quickly identify botnets and zombie hosts, and their activity
• Contextual information includes threat intensity, risk score, geolocation, and relationships to other threats

URL Categorization

1. The Web Security Engine is installed on the partner device, e.g., a Web Security Gateway
2. The partner device receives an HTTP request
3. The device uses the engine to check the URL classification. The Web Security Engine first checks the local cache for values; typically more than 99% of queries are resolved locally by the cache, minimizing latency
4. If necessary, the Web Security Engine queries PHISHUP’s Global View for relevant updates
5. The partner device blocks, allows, or removes content according to the classification it receives from the Global View URL filtering engine


Using PHISHUP’s embedded URL Filtering, partners can create applications, such as: • Security—real-time protection from emerging web threats including malware, phishing, and Zombies or bot
• HR and regulatory compliance—block access to questionable content e.g., pornography or hate sites
• Productivity—block or monitor browser use to optimize employee productivity
• Bandwidth regulation— identify sites consuming excessive bandwidth, like for movies or music
• Parental control—restrict access to inappropriate web sites

D- Threat Intelligence

Our complete solution is informed by PHISHUP Intelligence and our network of 30M human sensors reporting phish through the PHISHUP Phishing Defense Center.

Global, Multi-Vector Threat Sourcing

PHISHUP technology leverages a global, multi-vector threat intelligence network to proactively source suspicious URLs. This network includes:
• Global hardware sensors inspecting billions of daily Internet transactions in real-time
• Spam traps
• Suspicious ad networks
• Passive DNS sensors
• Real-time certificate transparency logs

Strategically Understand Evolving Phishing Threats

The phishing threat landscape is noisy and rapidly evolving. Many threat feeds fail to mitigate that noise – often riddled with false positives and failing to provide a strategic understanding of emerging threats. Security teams are resource constrained, often unable to turn raw threat data into actionable intelligence, creating barriers to achieving effective defense. Modern threats are here today and gone tomorrow. Our cloud-based platform is a much-needed successor to static and list-based threat feeds. Trusted and Proven Intelligence Security and technology vendors want to integrate threat intelligence that is current, actionable and accurate. Vendors want broad coverage of the threat landscape and context as to why objects or behaviors are a security or compliance risk. That’s exactly what PHISHUP Threat Intelligence Services provide, which is why they are trusted by the world’s leading technology and security providers. Partner Benefits with PHISHUP Threat Intelligence Services
• Effective Security PHISHUP Threat Intelligence Services enable our partners to provide a proactive, automated security solution to their customers, delivering unobtrusive and effective security and policy enforcement against today’s most pervasive threats.
• Deep Knowledge Equals Superior Protection PHISHUP Threat Intelligence Services leverage contextual intelligence and behavior analysis to overcome the pace of malware innovation, rendering the next generation of threats obsolete the moment a cyberattack appears on any network or device connected to the PHISHUP Cloud Platform.

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