MB-35bf421b4069de5c155ad085c64b371f45b08273f227c77e47a3b43afebc2f07
high
📛 Threat Title
Mirai: bot.aarch64
Description
File type: elf. Size: 1170652 bytes. Tags: elf, Mirai. Reporter: abuse_ch. First seen: 2026-09-25 10:58:43.
Indicators of Compromise (3)
Each indicator is enriched from the IOC database, threat-intel feed corroboration (Threat Hunt) and VirusTotal. Click one to expand.
hash_sha256
35bf421b4069de5c155ad085c64b371f45b08273f227c77e47a3b43afebc2f07
VT 24 / 75
IOC database
- Type
- hash_sha256
- Value
35bf421b4069de5c155ad085c64b371f45b08273f227c77e47a3b43afebc2f07- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- Mirai
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Flagged by 24 of 75 VirusTotal vendors
| Vendor | Verdict | Detection |
|---|---|---|
| ALYac | malicious | Gen:Variant.Linux.Gafgyt.13 |
| Antiy-AVL | malicious | Trojan[Exploit]/Linux.CVE-2018-10561 |
| Arcabit | malicious | Trojan.Linux.Gafgyt.13 |
| Avast | malicious | ELF:Hajime-Q [Trj] |
| Avast-Mobile | malicious | ELF:Mirai-QL [Trj] |
| AVG | malicious | ELF:Hajime-Q [Trj] |
| Avira | malicious | TR/LINUX.Hajime.Q |
| BitDefender | malicious | Gen:Variant.Linux.Gafgyt.13 |
| CTX | malicious | elf.unknown.gafgyt |
| Cynet | malicious | Malicious (score: 99) |
| DrWeb | malicious | Linux.Rootkit.420 |
| Emsisoft | malicious | Gen:Variant.Linux.Gafgyt.13 (B) |
| ESET-NOD32 | malicious | Linux/Mirai.FLD trojan |
| F-Secure | malicious | Trojan.TR/LINUX.Hajime.Q |
| Fortinet | malicious | ELF/Mirai.AAY!tr |
| GData | malicious | Gen:Variant.Linux.Gafgyt.13 |
| huorong | malicious | Trojan/Linux.Mirai.f |
| Kaspersky | malicious | HEUR:Exploit.Linux.CVE-2018-10561.a |
| Kingsoft | malicious | Linux.Exploit.CVE-2018-105.a |
| Microsoft | malicious | Backdoor:Linux/Gafgyt.BA!xp |
| MicroWorld-eScan | malicious | Gen:Variant.Linux.Gafgyt.13 |
| Rising | malicious | Backdoor.Mirai/Linux!1.BAFE (CLASSIC) |
| Tencent | malicious | Backdoor.Linux.Mirai.yar |
| VIPRE | malicious | Gen:Variant.Linux.Gafgyt.13 |
Details From VirusTotal
Basic Properties
| MD5 | 2645cc3886f183fa1e1738bd0c874bde |
| SHA-1 | 74513ef7a7cbc269efe0b2e498a9632040c61c44 |
| SHA-256 | 35bf421b4069de5c155ad085c64b371f45b08273f227c77e47a3b43afebc2f07 |
| VHash | ba83bcbda73cb4a9a484cd5c1668f989 |
| SSDEEP | 24576:idXdf3xz6J4fQd+u0iMsq5fYPMaow0+fh6Shgk2g/HVT:cR69dUIBkSp6ShgkzVT |
| TLSH | T192456C5DFD0F3C43D2CAE23DDB4A83E47127B098D66311A235C2035DE6C99DD8B6299A |
| File type | ELF |
| File type tag | elf |
| Magic | ELF 64-bit LSB executable, ARM aarch64, version 1 (GNU/Linux), statically linked, for GNU/Linux 3.7.0, not stripped |
| File size | 1.1 MB |
History
| First seen on VirusTotal | 2026-09-25 11:28 UTC |
| Last submission | 2026-09-25 11:28 UTC |
| Last analysis | 2026-09-25 11:28 UTC |
| Last modified on VirusTotal | 2026-09-25 18:09 UTC |
Known Names
copy
hash_sha1
74513ef7a7cbc269efe0b2e498a9632040c61c44
VT: VT base fetch failed: HTTPError: 401 Client Error: Unauthorized for url: https://www.virustotal.com/api/v3/files/74513ef7a7cbc269efe0b2e498a9632040c61c44
IOC database
- Type
- hash_sha1
- Value
74513ef7a7cbc269efe0b2e498a9632040c61c44- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Details From VirusTotal
VirusTotal: VT base fetch failed: HTTPError: 401 Client Error: Unauthorized for url: https://www.virustotal.com/api/v3/files/74513ef7a7cbc269efe0b2e498a9632040c61c44
hash_md5
2645cc3886f183fa1e1738bd0c874bde
VT 24 / 75
IOC database
- Type
- hash_md5
- Value
2645cc3886f183fa1e1738bd0c874bde- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Flagged by 24 of 75 VirusTotal vendors
| Vendor | Verdict | Detection |
|---|---|---|
| ALYac | malicious | Gen:Variant.Linux.Gafgyt.13 |
| Antiy-AVL | malicious | Trojan[Exploit]/Linux.CVE-2018-10561 |
| Arcabit | malicious | Trojan.Linux.Gafgyt.13 |
| Avast | malicious | ELF:Hajime-Q [Trj] |
| Avast-Mobile | malicious | ELF:Mirai-QL [Trj] |
| AVG | malicious | ELF:Hajime-Q [Trj] |
| Avira | malicious | TR/LINUX.Hajime.Q |
| BitDefender | malicious | Gen:Variant.Linux.Gafgyt.13 |
| CTX | malicious | elf.unknown.gafgyt |
| Cynet | malicious | Malicious (score: 99) |
| DrWeb | malicious | Linux.Rootkit.420 |
| Emsisoft | malicious | Gen:Variant.Linux.Gafgyt.13 (B) |
| ESET-NOD32 | malicious | Linux/Mirai.FLD trojan |
| F-Secure | malicious | Trojan.TR/LINUX.Hajime.Q |
| Fortinet | malicious | ELF/Mirai.AAY!tr |
| GData | malicious | Gen:Variant.Linux.Gafgyt.13 |
| huorong | malicious | Trojan/Linux.Mirai.f |
| Kaspersky | malicious | HEUR:Exploit.Linux.CVE-2018-10561.a |
| Kingsoft | malicious | Linux.Exploit.CVE-2018-105.a |
| Microsoft | malicious | Backdoor:Linux/Gafgyt.BA!xp |
| MicroWorld-eScan | malicious | Gen:Variant.Linux.Gafgyt.13 |
| Rising | malicious | Backdoor.Mirai/Linux!1.BAFE (CLASSIC) |
| Tencent | malicious | Backdoor.Linux.Mirai.yar |
| VIPRE | malicious | Gen:Variant.Linux.Gafgyt.13 |
Details From VirusTotal
Basic Properties
| MD5 | 2645cc3886f183fa1e1738bd0c874bde |
| SHA-1 | 74513ef7a7cbc269efe0b2e498a9632040c61c44 |
| SHA-256 | 35bf421b4069de5c155ad085c64b371f45b08273f227c77e47a3b43afebc2f07 |
| VHash | ba83bcbda73cb4a9a484cd5c1668f989 |
| SSDEEP | 24576:idXdf3xz6J4fQd+u0iMsq5fYPMaow0+fh6Shgk2g/HVT:cR69dUIBkSp6ShgkzVT |
| TLSH | T192456C5DFD0F3C43D2CAE23DDB4A83E47127B098D66311A235C2035DE6C99DD8B6299A |
| File type | ELF |
| File type tag | elf |
| Magic | ELF 64-bit LSB executable, ARM aarch64, version 1 (GNU/Linux), statically linked, for GNU/Linux 3.7.0, not stripped |
| File size | 1.1 MB |
History
| First seen on VirusTotal | 2026-09-25 11:28 UTC |
| Last submission | 2026-09-25 11:28 UTC |
| Last analysis | 2026-09-25 11:28 UTC |
| Last modified on VirusTotal | 2026-09-25 18:09 UTC |
Known Names
copy
References (1)
-
MalwareBazaar sample page
Abuse.ch
File type: elf. Size: 1170652 bytes. Tags: elf, Mirai. Reporter: abuse_ch. First seen: 2026-09-25 10:58:43.
Remediations (10)
-
web:any.run
Mirai is a self-propagating malware that scans the internet for vulnerable IoT devices and infects them to create a botnet. Mirai variants utilize lists of common default credentials to gain access to devices. Mirai's primary use is for launching distributed denial-of-service (DDoS) attacks, but it has also been used for cryptocurrency mining.
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web:arxiv.org
Abstract—Mirai is undoubtedly one of the most significant Internet of Things (IoT) botnet attacks in history. In terms of its detrimental effects, seamless spread, and low detection rate, it surpassed its predecessors. Its developers released the source code, which triggered the development of several variants that combined the old code with newer vulnerabilities found on popular IoT devices ...
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web:dailysecurityreview.com
A new Mirai botnet is using zero-day exploits to target industrial routers and smart home devices, launching high-intensity DDoS attacks. Learn about the vulnerabilities and how to protect your systems.
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web:github.com
Explore illusionsec DDOS Archive, featuring top-tier scanners, powerful botnets ( Mirai & QBot) and other variants, high-impact exploits, advanced methods, and efficient sniffers.
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web:github.com
Mirai is a malware botnet that infects Internet of Things (IoT) devices using default or weak login credentials. Once infected, these devices are controlled by a command-and-control (CnC) server and can be used to launch DDoS attacks. This repo is a fork of the original leaked source code and includes components such as: The bot (runs on IoT devices) The CnC server The loader (infects devices ...
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web:rruzi.github.io
Based on relevant characteristics, we have associated a batch of similar samples. They are more concise and more similar to the original Mirai in terms of code function and structure design. It is speculated that they may be earlier bot versions. From the naming method of the C2, it conforms to the consistent style of the CatDDoS group - that is, having a special preference for "cats". The ...
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web:trainsec.net
Final Thoughts: A Call to Continuous Mastery Unpacking an ARM-based Mirai sample exemplifies the thrill and challenge of modern cybersecurity work. As IoT devices and Linux-based systems become more ubiquitous in enterprise networks, staying on top of evolving threats is essential. Take this as your motivation to keep refining your reverse engineering, malware analysis, and forensics ...
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web:westoahu.hawaii.edu
Practicing proper mitigation techniques and being proactive can help reduce device vulnerabilities, and prevent the creation of more bots and limit the resources botnet operators have. References [1] Cloudflare. (2017, December 14). Inside the Infamous Mirai IoT Botnet: A Retrospective.
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web:www.joesandbox.com
Executes the "iptables" command used for managing IP filtering and manipulation
-
web:www.sciencedirect.com
In the specific context of Mirai botnet detection and mitigation , several approaches have been presented in the literature. Some works focus on studying the behavior of the Mirai botnet, examining and monitoring its propagation and impact within networked systems [85], [86], [87].
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