Stealc Information Stealer Malware – Active IOCs
January 27, 2025Multiple Oracle Products Vulnerabilities
January 27, 2025Stealc Information Stealer Malware – Active IOCs
January 27, 2025Multiple Oracle Products Vulnerabilities
January 27, 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
d66b2139069cff33c9b1297d8b92058e
1a01c0c63cc1efd27a2ccc75198fa042
0c3965707acf5d41fc1c66089e804d2a
15985194dc52d4b341d3a18cf5a3554d
SHA-256
4e6d049a95020e88b6dba925e14bb597b802ee542cf42005659eb9337c13f1cc
b2f5334db0a81648611733272e4fc1939a1c90da1835da0a61cf369f4a507ae1
469a6e549bcee703ecf37437c3055e6287568716ca1d499676b5f9b6c6376209
2d252088f59e10a8ebf0d85fe328faf12030d37346c43b7eb2478ee50b802b38
SHA1
d9664ffdd3c28078f13e56d47dcfae8b7853f409
a9fe0f019fc45b31d03f2b4846152252543d4b91
b98f5b81085dfc2ef5ea3870caa40a51b83918f0
3a17f53f2341d5e844b2c69c11d492c7c09b201b
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.