TF-1844772
high
📛 Threat Title
Akira: MD5 hash of a malware sample (payload) f2bab102784860e65cd488387e42ca50
Description
Indicator that identifies a malware sample (payload). IOC type: MD5 hash of a malware sample (payload). Attributed malware: Akira (aliases: REDBIKE). Confidence: 75. First seen: 2026-07-04 16:17:49 UTC. Reporter: TheRavenFile. Tags: akira, Ransomware.
Indicators of Compromise (1)
Each indicator is enriched from the IOC database, threat-intel feed corroboration (Threat Hunt) and VirusTotal. Click one to expand.
hash_md5
f2bab102784860e65cd488387e42ca50
IOC database
- Type
- hash_md5
- Value
f2bab102784860e65cd488387e42ca50- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- MD5 hash of a malware sample (payload) attributed to Akira
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Details From VirusTotal
No VirusTotal details cached for this IOC. Open the IOC page to query VirusTotal.
References (3)
- External reference ThreatFox IOCs
- Malpedia profile ThreatFox IOCs
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ThreatFox IOC page
ThreatFox IOCs
Indicator that identifies a malware sample (payload). IOC type: MD5 hash of a malware sample (payload). Attributed malware: Akira (aliases: REDBIKE). Confidence: 75. First seen: 2026-07-04 16:17:49 UTC. Reporter: TheRavenFile. Tags: akira, Ransomware.
Remediations (10)
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web:bazaar.abuse.ch
A malware sample can be associated with only one malware family. The page below gives you an overview on malware samples that MalwareBazaar has identified as Akira .
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web:bazaar.abuse.ch
Malware samples associated with tag akira MalwareBazaar Database Samples on MalwareBazaar are usually associated with certain tags. Every sample can associated with one or more tags. Using tags, it is easy to navigate through the huge amount of malware samples in the MalwareBazaar corpus. The page below gives you an overview on malware samples that are tagged with akira . Database Entry
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web:github.com
This repository contains a comprehensive technical analysis of the Akira ransomware variant, conducted through deep reverse engineering using Ghidra, Frida, and x64dbg. The analysis spans 8,930+ lines of technical documentation with 69 professional diagrams covering every aspect of the malware's operation.
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web:malpedia.caad.fkie.fraunhofer.de
Details for the Akira malware family including references, samples and yara signatures.
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web:www.cisa.gov
Akira ransomware threat actors are associated with other groups known as Storm-1567, Howling Scorpius, Punk Spider, and Gold Sahara, and may have connections to the defunct Conti ransomware group. Akira threat actors primarily target small- and medium-sized businesses, but have also impacted larger organizations across various sectors.
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web:www.n-able.com
Learn how Akira ransomware operates, including key Indicators of Compromise (IOCs), hashes, and attacker tactics to help detect and reduce risk.
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web:www.picussecurity.com
Learn how Akira ransomware operates in 2025 with updated CISA findings. Explore its latest TTPs, initial access methods, and actionable defense strategies.
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web:www.scribd.com
The document reports the discovery of 17 new samples of Akira Ransomware, all sharing the same entry point and created on August 21, 2024. These samples , each sized at 1.02MB, began appearing between late September and December 2024, and are associated with specific mutexes linked to other malware . A list of MD5 hashes for the samples is also provided, along with a link to further resources.
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web:www.sentinelone.com
Akira Ransomware uses multi-extortion tactics and a retro-styled leak site. Learn about its negotiation processes and how to mitigate it.
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web:www.trellix.com
The compilation date of the analyzed sample is the 29th of July 2023, and it is a console application. Arguments to such an application are usually shared via the command-line and do not require a graphical interface of sorts. Akira supports a number of arguments, which instruct the malware to execute certain functions. Below, the options are ...
AI Forensic Analysis
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