Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

August 2021

An easy recipe for identity fraud - Post a dream job LinkedIn advert on behalf of almost any employer

This post is about LinkedIn – a go-to professional networking and jobs platform – a feature that allows outside individuals (not belonging to the target organisation) to post jobs on an organisation’s behalf. Whether you call it posting scam jobs on LinkedIn, phishing the LinkedIn users or any wider campaigns based on the drivers – it is a recipe for Identity fraud.

Stories from the SOC - Successful phishing attack

Every day, billions of emails are sent out, some legitimate, while others are used to target unsuspecting users. According to the FBI, phishing attacks were the most common type of cybercrime in 2020. The reason these are so commonly used is because phishing tools are easy to get a hold of and attackers are taking advantage of the weakest link when it comes to security – the employees.

5 Automated Anti-Phishing Protection Techniques

In an age when attackers create over a million phishing sites each month, and phishing serves as a beachhead for 95 percent of all attacks against enterprise networks, how can businesses respond? Part of the answer lies in educating users to recognize and report phishing, of course. But user education only goes so far – particularly because the same statistics cited above show that, on average, only 3 percent of users will report phishing emails.

How Social Norms Can Be Exploited by Scammers on Social Media

Social media platforms are excellent hunting grounds for scammers. This is where we connect with our friends or people who we have something in common with. This is precisely what scammers exploit—our connections and the trust that is afforded between friends or acquaintances. From an early age, we are taught to be kind and compassionate as well as to help others, especially people we know such as friends and family. In turn, they will help us if we ever need it.

Credit Card Fraud Detection: Keeping Payments Safe with Machine Learning

Imagine, it’s a Saturday morning and you receive a call from a bank: – Hello? – Hi [insert your name], we suspect that a fraudster is trying to use your card at a grocery store in Texas. – Well, I am at a grocery store in Texas! – Oh my gosh! Do you see him? If only credit card fraud was funny.