Chrome Vulnerabilities Allow Remote Execution of Malicious Code
May 22, 2025Quasar RAT aka CinaRAT – Active IOCs
May 23, 2025Chrome Vulnerabilities Allow Remote Execution of Malicious Code
May 22, 2025Quasar RAT aka CinaRAT – Active IOCs
May 23, 2025Severity
High
Analysis Summary
The Mirai botnet is a type of malware that infects Internet of Things (IoT) devices, such as routers, security cameras, and other smart devices, to launch distributed denial-of-service (DDoS) attacks. The botnet was first discovered in August 2016 and quickly gained notoriety for its ability to launch some of the largest DDoS attacks ever recorded, including an attack that took down the DNS provider Dyn.
Mirai works by scanning the internet for devices that use default or easily guessable passwords, such as "admin" or "password". Once a vulnerable device is identified, the malware infects it and adds it to the botnet, which can then be used to launch DDoS attacks on a target.
Mirai is particularly effective because it can exploit the large number of poorly secured IoT devices that are connected to the internet. This makes it difficult to defend against, as many of these devices have limited processing power and memory, and may not receive regular security updates.
Since its discovery, Mirai has continued to evolve and new variants of the malware have been detected. The best defense against Mirai is to ensure that IoT devices are properly secured, with strong passwords and regular security updates. Network administrators can also use tools to monitor for unusual traffic patterns that may indicate a DDoS attack is underway.
Impact
- Server Outage
- Data Loss
- Website Downtime
Indicators of Compromise
MD5
00461d8b2191a130927fc4c395d7b75b
85b16b7885f17c2ca33a299fd9dfca01
f2810a00c7dc5d2c49b10a9355b648c2
13c3256dc3582ebc61c45f52df687049
11d410b1043ff417b47b496b8a2b5a10
SHA-256
08e6eee251fd4e83b8904fed3a04b702d6b659fe73feebef2c6d7b7af167304b
f9268a683096216d49531ad2eea4c80be318ac21d0394f121c94b5aa80ce72d8
f51f7bda9ad6e3b99b925a57255fc44dce828abed88db0ca75b0806f7382e8eb
31601ae5cc187ef3e8192b8d0802781a47861b65c215881a7fa9b1e01fe9d713
7d59ffe3fa9e2cea520de0c698f8c7c63f50a92a72f10abd69afd4f84bfdc758
SHA1
6beef5dbf541a79225a86fd1ee30ffbfd35e0785
b6cf5d8e1f0d0224748d7aa508273d3062d87157
d613fee4e8c1d6f6fbd00ce536ea7d361fa4f1ca
92400c42c643347828b34371c79c9343dc479d5c
70526c7e0c0c3bd09e1ae32a552e9a4478181e67
Remediation
- Block all threat indicators at your respective controls.
- Search for indicators of compromise (IOCs) in your environment utilizing your respective security controls.
- Never trust or open links and attachments received from unknown sources/senders.
- Upgrade your operating system.
- Enable antivirus and anti-malware software and update signature definitions on time. Using multi-layered protection is necessary to secure vulnerable assets.
- Immediately change default passwords on IoT devices to unique ones.
- Keep devices' firmware and software up to date to ensure that known vulnerabilities are patched.
- Implement firewalls and intrusion detection systems to monitor and control traffic to and from IoT devices.
- Employ tools that can identify unusual behavior or traffic patterns that might indicate a DDoS attack or a compromised device.
- Disable any unnecessary services or features on IoT devices to reduce their attack surface.
- Follow security best practices, such as disabling remote management if not needed and enabling security features provided by the device manufacturer.
- Deploy intrusion detection and prevention systems (IDS/IPS) to monitor for anomalous or malicious network activity.
- Set up alerts for unusual traffic patterns that might indicate a DDoS attack or a compromised device.