TF-1844734
high
📛 Threat Title
Akira: MD5 hash of a malware sample (payload) 8873d6ba9da18451ee95da046c7c6de7
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 16:17:43 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
8873d6ba9da18451ee95da046c7c6de7
IOC database
- Type
- hash_md5
- Value
8873d6ba9da18451ee95da046c7c6de7- 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 16:17:43 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
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: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.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.
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web:www.microsoft.com
This malware operates on a Ransomware- as -a-Service (RaaS) model, which allows multiple threat actors to conduct widespread attacks. Its primary method is a double-extortion strategy: threat actors first exfiltrate sensitive data from compromised networks and then deploy a payload to encrypt files on Windows devices.
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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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