TF-1844745
high
📛 Threat Title
Akira: MD5 hash of a malware sample (payload) 39015f73ac1c8fcbf6bce413a22cfadb
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 16:17:46 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
39015f73ac1c8fcbf6bce413a22cfadb
VT: VT base fetch failed: HTTPError: 429 Too Many Requests for files/39015f73ac1c8fcbf6bce413a22cfadb
IOC database
- Type
- hash_md5
- Value
39015f73ac1c8fcbf6bce413a22cfadb- 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
VirusTotal: VT base fetch failed: HTTPError: 429 Too Many Requests for files/39015f73ac1c8fcbf6bce413a22cfadb
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 16:17:46 UTC. Reporter: TheRavenFile. Tags: akira, Ransomware.
Remediations (10)
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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:bazaar.abuse.ch
Malware samples associated with tag akira 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 .
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web:cymulate.com
Malicious payload delivery: The simulation sends payloads associated with Akira ransomware in a safe, controlled manner. Validation of security controls: It evaluates whether these payloads are blocked or if they penetrate existing defenses to compromise systems.
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web:github.com
IOC Package: Akira Ransomware — Case Notes ("Seven Seconds to Stop Akira ") Purpose: Indicators and incident context from a single defended-environment engagement, formatted for CTI and detection use. Malware sample is a per-victim build and may not match public corpus hashes.
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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:threatfox.abuse.ch
Akira IOC: 39015f73ac1c8fcbf6bce413a22cfadb ( md5_hash ) You are viewing the ThreatFox database entry for md5_hash 39015f73ac1c8fcbf6bce413a22cfadb .
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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.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 is known for its retro aesthetic that's applied to its DLS. Learn about its multi-extortion tactics, negotiation processes, and mitigation techniques.
AI Forensic Analysis
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