TF-1844765
high
📛 Threat Title
Akira: MD5 hash of a malware sample (payload) 266f33db148efc6ea7f978a246d36663
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 16:17:48 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
266f33db148efc6ea7f978a246d36663
IOC database
- Type
- hash_md5
- Value
266f33db148efc6ea7f978a246d36663- 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 16:17:48 UTC. Reporter: TheRavenFile. Tags: akira, Ransomware.
Remediations (10)
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web:attack.mitre.org
Akira ransomware employs hybrid encryption and threading to increase the speed and efficiency of encryption and runtime arguments for tailored attacks. Notable variants include Rust-based Megazord for targeting Windows and Akira _v2 for targeting VMware ESXi servers.
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web:bazaar.abuse.ch
Using the form below, you can search for malware samples by a hash ( MD5 , SHA256, SHA1), imphash, tlsh hash , ClamAV signature, tag or malware family. Browse Database
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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: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
This updated joint advisory provides network defenders with the latest indicators of compromise, tactics, techniques, and procedures, and detection methods associated with Akira ransomware activity.
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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.ibm.com
Figure 2: Akira ransomware .onion dark web negotiations portal (Source: X-Force dark web research) After gaining access, the negotiation portal displays a message telling the victim that the Akira group is preparing a sample of stolen data from the victim organization. This process may be manual for the threat actor, based on the amount of time it appears to take. Once ready, the threat group ...
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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.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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