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Corporations fight phishing each and every day. Large and recognizable financial institutions, retail companies, internet service providers/telecommunication companies are among those most heavily targeted victims of phishing.

While the aftermath of a phishing attack is costly and yields long-term consequences, it’s quite difficult to keep up with cybercriminals. It’s shockingly easy for cybercriminals to create a phishing site targeted at your brand, so easy that the cybercriminal simply needs to unpack and upload a pre-built “phishing kit” in order to create a new phishing website. Just one phishing kit can produce hundreds of phishing URLs.

With just a few clicks of the mouse, the cybercriminal attacks your brand, sending you scrambling to “take down the site.” One-by-one you take down each individual website, costing your brand time, money and reputation. As you take down, he creates. It’s a never-ending battle. In our data, we’ve found that it is often the case that the same attacker is using this method to attack several institutions or companies within the same industry over a period of several months or years.

While the term “big data” is both ambiguous and overused, it defines the new frontier in the fight against phishing. Data sourced from hundreds of phishing sites targeting hundreds of brands is analyzed to identify trends, which allow us to build more effective strategies to fight cybercrime and prevent future phishing attacks.

Below we’ll discuss how to use phishing intelligence to build more effective countermeasures to protect your brand from attackers:

  1. Isolate a single attacker. Instead of taking down each phishing site one-by-one, what if you could go directly to the source and stop the criminal in his tracks? Analyzing phishing data allows us to gain clues as to how the criminal operates. For example, in a recent analysis of phishing attacks targeting large financial institutions, we found one particular criminal who had created 604 phishing sites with a single phishing kit, 390 of which were hosted on a single IP address. We call this a “clue.” Using this data, we’re able to identify several details about the criminal, often including email addresses and social media profiles. If you could identify an attacker that’s behind multiple attacks against your brand, how would that change the way that you approach phishing in your organization?
  2. Identify the monetization path. Another important component of building effective countermeasures against cyber attackers is to take a close look at the monetization path. It’s critical to understand the motives behind the attack (is the attacker money-motivated in the first place?) and how he has constructed his scheme to put your money in his pocket. Understanding the process is a key step in building future strategies and barriers to stop cybercriminals in their tracks.
  3. Build barriers. Using intelligence and patterns that you’ve identified, build barriers to protect your brand against future cyber attacks in order to identify threats early and stop criminals from leaving a stealing from your customers.

Have you used phishing intelligence to build effective countermeasures against cybercriminals? Share your insight in the comments below.