Lumma Stealer Malware aka LummaC – Active IOCs
February 3, 2025Multiple Dell PowerProtect Vulnerabilities
February 3, 2025Lumma Stealer Malware aka LummaC – Active IOCs
February 3, 2025Multiple Dell PowerProtect Vulnerabilities
February 3, 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
cc1431e645a87cedf22026f497d3d5ea
193c0be7d8d6c642c3d9863587f6a4f7
fa9a6c4919701406e84d40b7817f6c1b
544b2176931ac5617528d160eb55f814
SHA-256
ab79b3a7921e12013e0314b59082e33fb86e93bad7205ebea9a32714102f7958
a9ca74cd669782ed8abeb93830961a0f39bf9020cdc340e71941c0f177968927
d7005e51f1f90932cf9f0eb29238577120648a22ba20474b4488661e0a170b7f
75c79ed0deffc809d2dbecd1c7c200fb0c05b203726b354a3f640cb3c40da35c
SHA1
593fc2987ca0c65cfa95188e4eb8db37bd1b0a2d
80f7e3561ec2224003ecf8f10119ac4029fe9f57
8b77d60c97acbaccaacfbc8832c3b379fcea47f7
9d84e44dc632eba0bc55a0bfb2dd8d852b602a44
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.