CISA Alerts on Delta Electronics Flaws Enabling Auth Bypass
September 19, 2025Stealc Information Stealer Malware – Active IOCs
September 22, 2025CISA Alerts on Delta Electronics Flaws Enabling Auth Bypass
September 19, 2025Stealc Information Stealer Malware – Active IOCs
September 22, 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
1aaa710426ab8cb736e217496118ea52
8e4f6aec0765f1aa0bc514266b1dff65
b0e7c5c70b1b5549f2be224d7a3597d7
SHA-256
ac3432c05f15518fde2e9021b97a848d3765ed3623a6d4fd61f45e9909a118bf
54b446871a3408712f0581d3dcb44d9afc76f6a9d786937500c062f89a7c8810
cacfdfca3a47aba64231cc6a48b602bc12fdd337e2876a56ec7d4d4e2d65125b
SHA1
f3cbeff380d645995bb45951daae6ee7afaa88c5
8f8c2cd7638048b2ac66f0ccee04029bee95ded7
7e00bb19cf34a750163214da540030c574ae8b27
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.