Sometimes referred to as CKC or the cyberattack lifecycle, the cyber kill chain is a security defense model developed to identify and stop sophisticated cyberattacks before they impact an organization. Typically comprised of seven steps, a cyber kill chain model breaks down the multiple stages of a cyberattack, allowing security teams to recognize, intercept or prevent them.
Russia’s military incursion against Ukraine began on February 24, 2022, with a massive ground attack supported by several cyber incidents. This activity set the stage for what would become an active hybrid war fought in two domains: cyber and ground warfare.
Netskope Threat Labs spotted a new crypto-phishing attack that aims to steal sensitive data from crypto wallets, including private keys and security recovery phrases, disguising itself as a service to revoke stolen ERC (Ethereum Request for Comments) assets. The page was created and hosted with Netlify, which is a free cloud service to create websites and apps.
Bots have been in the news a lot lately. Before committing to the Twitter takeover, Elon Musk cited huge bot numbers as a hurdle in completing the deal. Social media bots have also been blamed for interfering in elections and other political processes in recent years. Despite the current focus on bots, they’re not a new phenomenon. Bots have been around for decades — and some have caused serious damage to businesses around the world.
NPM security has been a trending topic in the media in recent years, mostly in reference to npm packages available on the ecosystem rather than the npm registry itself. The increasing security risk, that applies to developers and software we build, makes it even more important to understand how to prevent supply chain attacks and other security vulnerabilities related to software development life cycle.
When it comes to protecting software, don’t count on automated testing to find all the vulnerabilities in your code. Here’s why manual penetration testing is more essential (and more accessible) than one might think.