Hackers use the Mirai botnet to launch large-scale Distributed Denial of Service (DDoS) attacks by exploiting vulnerable Internet of Things (IoT) devices.
Mirai’s ability to recruit a massive number of compromised devices allows attackers to do the following things to the targeted online services or websites:
Cybersecurity researchers at Akamai recently discovered a new Mirai-based botnet, “NoaBot, ” that is actively attacking Linux devices.
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NoaBot primarily targets Linux IoT devices for DDoS attacks. Mirai botnet was initially identified in 2016, and its source code is publicly available, leading to various variants appearing.
However, NoaBot initially surfaced in early 2023 and is evolving with:-
Not only that even researchers also noted several incidents of dropping P2PInfect worm samples which link both campaigns.
NoaBot mirrors Mirai’s capabilities but diverges in code. Unlike Mirai’s Telnet-based spreader, NoaBot uses SSH with a unique “hi” connection.
While embedded song lyrics in early samples remain unexplained, the developers of this botnet removed the lyrics in the later versions.
NoaBot alters Mirai by employing a distinct SSH credential dictionary and introducing post-breach functions like:-
Unlike Mirai, NoaBot is compiled with uClibc, which helps in altering antivirus detection to SSH scanner or generic trojan signatures, and the following things complicate the reverse engineering:-
Newer samples introduce command-line arguments, including “noa” for persistence via crontab entry. The “Noa-” prefix in antivirus detections suggests widespread use and the evolution of post-breach operations.
The miner is a self-compiled XMRig variant that extracts configurations before execution. However, instead of using the following things, it introduces code before mining logic:
The XMRig configuration usually reveals the following things:
Apart from this, the threat actors evade detection by dynamically modifying the command line and encrypting the pool details by communicating with Google’s DNS for domain resolution.
In 2023, 849 source IPs globally attacked honeypots, with a notable hotspot in China contributing to 10% of all attacks.
849 distinct IP addresses hit honeypots in 2023. Their global activity is quite evenly distributed, according to their geolocation data. Given that the software is wormable, it stands to reason that each new victim also becomes an attacker. On the other hand, China is the standout location for all the action.
To secure networks, cybersecurity researchers recommend:
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