Microsoft has recently suffered a devastating Distributed Denial of Service (DDoS) attack, compromising the sensitive data of over 30 million customers.
The attack, which occurred on [insert date], was reportedly carried out by a large-scale botnet that overwhelmed Microsoft's infrastructure, rendering it unable to handle legitimate traffic.
According to sources, the attack was conducted using a combination of botnets and DDoS amplification techniques, making it extremely difficult for Microsoft to distinguish between legitimate and malicious traffic.
A Distributed Denial of Service (DDoS) attack is a type of cyberattack where an attacker compromises multiple devices around the world to flood a targeted system with traffic, rendering it unavailable to users.
The attackers in this case exploited vulnerabilities in various systems, using them as botnet nodes to carry out the attack. This allowed them to scale their efforts exponentially, making it difficult for Microsoft to mitigate the attack.
In the aftermath of the attack, investigators turned to Open Source Intelligence (OSINT) tools and techniques to gather information about the attackers' methods and tactics.
By analyzing publicly available data, such as social media posts, online forums, and dark web marketplaces, investigators were able to identify potential leads and track down the source of the attack.
OSINT tools, such as social network analysis software, also played a crucial role in analyzing the attacker's behavior and identifying patterns that could have been missed by traditional investigation methods.