TF-2013319
high
📛 Threat Title
Raven Stealer: SHA1 hash of a malware sample (payload) 3b2eac656dafc8f76f1d886b25ca89661af48d2f
Description
Indicator that identifies a malware sample (payload). IOC type: SHA1 hash of a malware sample (payload). Attributed malware: Raven Stealer. Confidence: 95. First seen: 2026-11-03 16:42:42 UTC. Reporter: Grim.
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_sha1
3b2eac656dafc8f76f1d886b25ca89661af48d2f
VT 34 / 75
IOC database
- Type
- hash_sha1
- Value
3b2eac656dafc8f76f1d886b25ca89661af48d2f- First seen
- Last seen
- Attached to this threat
- Appears in
- 2 threats
- Description
- SHA1 hash of a malware sample (payload) attributed to Raven Stealer
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Flagged by 34 of 75 VirusTotal vendors
| Vendor | Verdict | Detection |
|---|---|---|
| alibabacloud | malicious | Trojan:Win/Injector_AGen.IN |
| APEX | malicious | Malicious |
| Avast | malicious | MalwareX-gen [Pws] |
| AVG | malicious | MalwareX-gen [Pws] |
| Avira | malicious | TR/W64.MalwareX |
| Bkav | malicious | W32.Malware.A07AF179 |
| CrowdStrike | malicious | win/malicious_confidence_70% (W) |
| Cylance | malicious | Unsafe |
| Cynet | malicious | Malicious (score: 99) |
| DrWeb | malicious | Trojan.DownLoader51.64229 |
| Elastic | malicious | malicious (high confidence) |
| ESET-NOD32 | malicious | Win64/Injector_AGen.IY trojan |
| F-Secure | malicious | Trojan.TR/W64.MalwareX |
| Fortinet | malicious | W64/MALD2.KHQY!tr |
| GData | malicious | Win64.Trojan.Agent.5HZB3Z |
| malicious | Detected |
|
| Gridinsoft | malicious | Trojan.Win64.Agent.sa |
| Ikarus | malicious | Win32.Outbreak |
| Kaspersky | malicious | Trojan.Win32.Agent.xyegmn |
| Kingsoft | malicious | Win32.Trojan.Agent.xyegmn |
| Lionic | malicious | Trojan.Win32.Agent.Y!c |
| Malwarebytes | malicious | Trojan.Injector |
| McAfeeD | malicious | Trojan:Win/Wacapew.GFV |
| Microsoft | malicious | Trojan:Win32/Egairtigado!rfn |
| Paloalto | malicious | generic.ml |
| Panda | malicious | Trj/PhxBzA.A |
| Rising | malicious | Trojan.Kryptik@AI.100 (RDML:Y77OfPzzFiIn0ajxROCEOA) |
| Sangfor | malicious | Trojan.Win32.Agent.Vban |
| SentinelOne | malicious | Static AI - Suspicious PE |
| Sophos | malicious | Mal/Generic-S |
| Symantec | malicious | ML.Attribute.HighConfidence |
| TrellixENS | malicious | Artemis!A56C203DB9D9 |
| Varist | malicious | W64/Agent.NJT.gen!Eldorado |
| Webroot | malicious | Win.Trojan.Gen |
Details From VirusTotal
Basic Properties
| MD5 | a56c203db9d9789fb796a8c7ba683d15 |
| SHA-1 | 3b2eac656dafc8f76f1d886b25ca89661af48d2f |
| SHA-256 | 7695d9e9d5ec2c380dfb70487b800e700ccc696cb7982b9361bb224890e19123 |
| VHash | 016076656d655d15555az5e3z2@z |
| SSDEEP | 12288:hWxkO8cp1esHg8Uekc/ghipX+4vCGlCsw1jZHpQdYx34LL0LL5LLnLLELLILLZLh:AxkFb8Ui/zRZCGlAtZHpQGp |
| TLSH | T1F735296A5F00AFBCFE960072A1314A995A313C3743DC57C7F1AAA2353D265904FF6CA6 |
| File type | Win32 EXE |
| File type tag | peexe |
| File extension | exe |
| Magic | PE32+ executable (GUI) x86-64, for MS Windows |
| File size | 1.0 MB |
History
| Creation date | 2026-10-25 14:08 UTC |
| First seen on VirusTotal | 2026-11-02 23:12 UTC |
| Last submission | 2026-11-03 14:50 UTC |
| Last analysis | 2026-11-03 06:31 UTC |
| Last modified on VirusTotal | 2026-11-03 20:38 UTC |
Known Names
Dricre.exe7695d9e9d5ec2c380dfb70487b800e700ccc696cb7982b9361bb224890e19123.exelauncher.exec09c2x.exe
References (2)
- Malpedia profile Threatfox IOCs/Threats
-
ThreatFox IOC page
Threatfox IOCs/Threats
Indicator that identifies a malware sample (payload). IOC type: SHA1 hash of a malware sample (payload). Attributed malware: Raven Stealer. Confidence: 95. First seen: 2026-11-03 16:42:42 UTC. Reporter: Grim.
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 RavenStealer .
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web:bazaar.abuse.ch
Malware samples associated with tag ravenstealer 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 ravenstealer . Database ...
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web:ismalicious.com
Raven Stealer malware sample d729ca1e148048aa9d42574d0cbd3486407e2746eab45583167336105637bc53: threat listings, file type, antivirus signatures, public reports and its MD5, SHA-1 and SHA-256, from the isMalicious threat intelligence dataset.
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web:ismalicious.com
195 indicators of compromise attributed to the Raven Stealer malware family — domains, IPs, URLs and file hashes, from abuse.ch feeds.
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web:mojoauth.com
Discover how Raven Stealer exploits Telegram for data theft. Learn about its stealthy techniques, analysis, and crucial mitigation strategies.
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web:threatfox.abuse.ch
Raven Stealer IOC: 96a9d4f3996b29f570795ea0464a06c91e2c17b1 ( sha1_hash ) ThreatFox IOC Database You are viewing the ThreatFox database entry for sha1_hash ...
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web:threatfox.abuse.ch
Raven Stealer IOC: 32227233bfaf1e4c4cd26ac665420bd16be281bd291be9c7b77274d70558631e (sha256_hash) You are viewing the ThreatFox database entry for sha256_hash ...
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web:www.cyfirma.com
Raven Stealer is a modern, lightweight, information-stealing malware developed primarily in Delphi and C++, designed to extract sensitive data from victim machines with minimal user interaction and high operational stealth. Promoted under the guise of "educational use," Raven Stealer ...
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web:www.pcrisk.com
Raven stealer is a dangerous information-stealing malware that targets a wide range of sensitive data, including browser credentials, cryptocurrency wallets, and payment information.
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web:www.pointwild.com
Introduction to Raven Stealer Raven Stealer is a contemporary, lightweight information-stealing malware developed primarily in Delphi and C++. Designed for stealth and efficiency, it operates with minimal user interaction while maintaining a high level of operational concealment.
AI Forensic Analysis
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