Why Penetration Testing is Essential for Every Business
March 5, 2025DarkCrystal RAT aka DCRat – Active IOCs
March 6, 2025Why Penetration Testing is Essential for Every Business
March 5, 2025DarkCrystal RAT aka DCRat – Active IOCs
March 6, 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
2b4cf97b280d52022bca7412cd3e88ce
3bedf84d9b28d341c0dae310b09dd5f7
3036c5d81ab1803280ac6720f3db46fc
523c252744f62259485b8d41958025e5
0f4d7fd03c42b4b316076e824d59d9cd
SHA-256
b825d7abc8614fc03e79be548c6ef93dd9f759e6713e2b4a7a7f596edf43aeb8
b94a78737821b1c28e3e372d86d2dbdf19cbf42fe22f0354b820b4dcb0aece7f
ba7faa58d615bd5f4ebaaf7f42b7fe484639b7a0a96217c541b592837899d4e7
a693118b9c7edf9051a7d0228c47b4f5d1a2ae06eb5ac3351f89da857c9f55a7
ba4b91ad6a5ffe5224db0e54544fbca4ad43c1e01515e85b55e06a5dde76b5c0
SHA1
c980732704ca918a436a9157ac176f59b7750700
faa440f6854195a3086e4a7c02c0bca9ebe9a9d6
fec661f4177be27c9f2e4d88a14eb298649cd59e
b1a21769a15faf3472e138930dc422416f6f37e5
1c780b69e77ca6e41965b40968c6fcf712cda38c
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.