Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This post is the second in a series describing OAuth implementation issues that put companies at risk. We create these posts to share rich technical details, drawn from real-world use cases, to educate the broader industry on the nature of these errors, their potential impact, and how to avoid them to better protect API ecosystems.

Since CrowdStrike’s founding in 2011, we have pioneered the use of artificial intelligence (AI) and machine learning (ML) in cybersecurity to solve our customers’ most pressing challenges. Our application of AI has fit into three practical categories.

The Apache Log4j vulnerability has been making global headlines since it became public on 9th December 2021. The report stated that the vulnerability affects Apache log4j between versions 2.0 and 2.14.1 and is independent of the underlying JDK version. It was a full-blown security meltdown that resulted in hackers performing remote code executions and affected digital systems across the globe. In response, Apache implemented patch fixes, but some components remained unattended.

For those wondering what GraphQL is… “GraphQL is a query language for your API, and a server-side runtime for executing queries using a type system you define for your data. GraphQL isn't tied to any specific database or storage engine and is instead backed by your existing code and data.”

The Insider reported that an apparently AI-generated photo faking an explosion near the Pentagon in D.C. went viral. The Arlington Police Department confirmed that the image and accompanying reports were fake. But when the news was shared by a reputable Twitter account on Monday, the market briefly dipped. The photo was spread by dozens of accounts on social media, including RT, a Russian state-media Twitter account with more than 3 million followers — but the post has since been deleted.