Analysis of the Lumma infostealer
The Lumma infostealer is a sophisticated Windows-targeting malware distributed as Malware-as-a-Service (MaaS). It steals sensitive data including browser credentials, cryptocurrency wallets, and VPN/RDP accounts. Delivered mainly via phishing sites and disguised as pirated software, it employs advanced evasion techniques such as NSIS packaging, AutoIt scripting, and process hollowing. Lumma is typically used in the early stages of multi-vector attacks, facilitating ransomware and network breaches. Detection is challenging due to its stealth methods, necessitating behavior-based detection and threat intelligence integration. The malware’s medium severity reflects its potential for credential theft and initial access but without known exploits in the wild or zero-day vulnerabilities. European organizations face risks especially in sectors reliant on Windows systems and remote access technologies. Countries with high Windows usage and significant cryptocurrency activity are more likely targets. Mitigation requires tailored detection strategies, user awareness to avoid phishing, and monitoring of suspicious process behaviors and network indicators.
AI Analysis
Technical Summary
Lumma infostealer is a sophisticated malware strain targeting Windows operating systems, distributed primarily as Malware-as-a-Service (MaaS), allowing cybercriminals to rent or purchase it for their own campaigns. Its primary objective is to steal sensitive information such as browser-stored credentials, cryptocurrency wallet data, and VPN or Remote Desktop Protocol (RDP) account details. This data theft facilitates further attacks, including ransomware deployment and broader network intrusions. The malware is distributed mainly through phishing websites and is often disguised as pirated software to entice victims into execution. Lumma employs advanced evasion techniques to avoid detection by traditional antivirus solutions. These include NSIS (Nullsoft Scriptable Install System) packaging to obfuscate the payload, AutoIt scripting to automate malicious actions, and process hollowing—a technique where malicious code is injected into legitimate processes to hide its execution. The malware’s tactics align with MITRE ATT&CK techniques such as credential dumping (T1555), user execution via phishing (T1204.002), process injection (T1055), and obfuscated files or information (T1027). While no known zero-day exploits or active widespread campaigns have been reported, Lumma’s role as an initial access tool in multi-stage attacks makes it a significant threat. Indicators of compromise include specific malicious domains (e.g., rhussois.su, diadtuky.su) and IP addresses, as well as hashes of known Lumma samples. The malware’s medium severity rating reflects its capability to compromise confidentiality and integrity but with limited direct impact on availability. Organizations need to integrate behavioral detection systems capable of identifying process hollowing and suspicious script execution, alongside threat intelligence feeds to detect associated infrastructure. User education to recognize phishing attempts and cautious handling of software downloads are critical to reducing infection risk.
Potential Impact
For European organizations, the Lumma infostealer poses a substantial risk primarily through credential theft, which can lead to unauthorized access to corporate networks, financial theft, and facilitation of ransomware or other secondary attacks. The theft of VPN and RDP credentials is particularly concerning given the widespread use of remote access solutions in Europe’s increasingly hybrid work environments. Compromise of cryptocurrency wallets could affect financial institutions and businesses involved in digital assets. The malware’s stealth techniques increase the likelihood of prolonged undetected presence, enabling attackers to move laterally and escalate privileges. This can result in data breaches, operational disruption, and reputational damage. Sectors such as finance, healthcare, critical infrastructure, and technology are especially vulnerable due to their reliance on Windows systems and remote access technologies. The medium severity suggests that while the malware does not directly cause system outages, the indirect consequences of stolen credentials and subsequent attacks can be severe. Additionally, the MaaS distribution model lowers the barrier for less sophisticated attackers to launch campaigns against European targets, potentially increasing attack volume.
Mitigation Recommendations
European organizations should implement multi-layered defenses tailored to Lumma’s tactics. Deploy behavior-based endpoint detection and response (EDR) solutions capable of identifying process hollowing and suspicious AutoIt script execution. Integrate threat intelligence feeds to monitor and block known malicious domains and IP addresses associated with Lumma. Enforce strict email filtering and phishing awareness training to reduce the likelihood of initial infection via phishing sites. Employ application whitelisting and restrict execution of unauthorized NSIS installers and scripts. Harden VPN and RDP access by enforcing multi-factor authentication (MFA), limiting access by IP, and monitoring for unusual login patterns. Regularly audit stored credentials and consider using password vaults or credential managers to reduce exposure. Conduct threat hunting exercises focusing on indicators of compromise such as the provided hashes and domains. Maintain up-to-date backups and incident response plans to mitigate potential ransomware follow-on attacks. Finally, ensure endpoint security solutions are configured to detect obfuscation and code injection techniques, and continuously update detection rules based on emerging threat intelligence.
Affected Countries
Germany, United Kingdom, France, Netherlands, Italy, Spain, Poland
Indicators of Compromise
- domain: rhussois.su
- ip: 58.56.31.64
- hash: 19259d9575d229b0412077753c6ef9e7
- hash: 5fe10c629656eebe75062d6e9000b352
- hash: 95c3fcddda57de75975733b5512e53fb
- hash: e6252824be8ff46e9a56993eeece0de6
- hash: 7b7d1152ddd31769c6f900701357ca166e3c09d6
- hash: b21d875f7f9d0a0d57316f1dc9e83c9d2f8a9daf
- hash: 57911c79078d80b7557fc68a83baff56db00427ccbc56e70d971f20d1f100585
- hash: b6ff168ae6088507560a4d0b918cf19642155b4e9ffec82e738966344c7fde5e
- domain: diadtuky.su
- domain: todoexy.su
- domain: genians.com
Analysis of the Lumma infostealer
Description
The Lumma infostealer is a sophisticated Windows-targeting malware distributed as Malware-as-a-Service (MaaS). It steals sensitive data including browser credentials, cryptocurrency wallets, and VPN/RDP accounts. Delivered mainly via phishing sites and disguised as pirated software, it employs advanced evasion techniques such as NSIS packaging, AutoIt scripting, and process hollowing. Lumma is typically used in the early stages of multi-vector attacks, facilitating ransomware and network breaches. Detection is challenging due to its stealth methods, necessitating behavior-based detection and threat intelligence integration. The malware’s medium severity reflects its potential for credential theft and initial access but without known exploits in the wild or zero-day vulnerabilities. European organizations face risks especially in sectors reliant on Windows systems and remote access technologies. Countries with high Windows usage and significant cryptocurrency activity are more likely targets. Mitigation requires tailored detection strategies, user awareness to avoid phishing, and monitoring of suspicious process behaviors and network indicators.
AI-Powered Analysis
Technical Analysis
Lumma infostealer is a sophisticated malware strain targeting Windows operating systems, distributed primarily as Malware-as-a-Service (MaaS), allowing cybercriminals to rent or purchase it for their own campaigns. Its primary objective is to steal sensitive information such as browser-stored credentials, cryptocurrency wallet data, and VPN or Remote Desktop Protocol (RDP) account details. This data theft facilitates further attacks, including ransomware deployment and broader network intrusions. The malware is distributed mainly through phishing websites and is often disguised as pirated software to entice victims into execution. Lumma employs advanced evasion techniques to avoid detection by traditional antivirus solutions. These include NSIS (Nullsoft Scriptable Install System) packaging to obfuscate the payload, AutoIt scripting to automate malicious actions, and process hollowing—a technique where malicious code is injected into legitimate processes to hide its execution. The malware’s tactics align with MITRE ATT&CK techniques such as credential dumping (T1555), user execution via phishing (T1204.002), process injection (T1055), and obfuscated files or information (T1027). While no known zero-day exploits or active widespread campaigns have been reported, Lumma’s role as an initial access tool in multi-stage attacks makes it a significant threat. Indicators of compromise include specific malicious domains (e.g., rhussois.su, diadtuky.su) and IP addresses, as well as hashes of known Lumma samples. The malware’s medium severity rating reflects its capability to compromise confidentiality and integrity but with limited direct impact on availability. Organizations need to integrate behavioral detection systems capable of identifying process hollowing and suspicious script execution, alongside threat intelligence feeds to detect associated infrastructure. User education to recognize phishing attempts and cautious handling of software downloads are critical to reducing infection risk.
Potential Impact
For European organizations, the Lumma infostealer poses a substantial risk primarily through credential theft, which can lead to unauthorized access to corporate networks, financial theft, and facilitation of ransomware or other secondary attacks. The theft of VPN and RDP credentials is particularly concerning given the widespread use of remote access solutions in Europe’s increasingly hybrid work environments. Compromise of cryptocurrency wallets could affect financial institutions and businesses involved in digital assets. The malware’s stealth techniques increase the likelihood of prolonged undetected presence, enabling attackers to move laterally and escalate privileges. This can result in data breaches, operational disruption, and reputational damage. Sectors such as finance, healthcare, critical infrastructure, and technology are especially vulnerable due to their reliance on Windows systems and remote access technologies. The medium severity suggests that while the malware does not directly cause system outages, the indirect consequences of stolen credentials and subsequent attacks can be severe. Additionally, the MaaS distribution model lowers the barrier for less sophisticated attackers to launch campaigns against European targets, potentially increasing attack volume.
Mitigation Recommendations
European organizations should implement multi-layered defenses tailored to Lumma’s tactics. Deploy behavior-based endpoint detection and response (EDR) solutions capable of identifying process hollowing and suspicious AutoIt script execution. Integrate threat intelligence feeds to monitor and block known malicious domains and IP addresses associated with Lumma. Enforce strict email filtering and phishing awareness training to reduce the likelihood of initial infection via phishing sites. Employ application whitelisting and restrict execution of unauthorized NSIS installers and scripts. Harden VPN and RDP access by enforcing multi-factor authentication (MFA), limiting access by IP, and monitoring for unusual login patterns. Regularly audit stored credentials and consider using password vaults or credential managers to reduce exposure. Conduct threat hunting exercises focusing on indicators of compromise such as the provided hashes and domains. Maintain up-to-date backups and incident response plans to mitigate potential ransomware follow-on attacks. Finally, ensure endpoint security solutions are configured to detect obfuscation and code injection techniques, and continuously update detection rules based on emerging threat intelligence.
Affected Countries
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Technical Details
- Author
- AlienVault
- Tlp
- white
- References
- ["https://www.genians.co.kr/en/blog/threat_intelligence/lumma-infostealer"]
- Adversary
- null
- Pulse Id
- 69289bec58e97b8756650ea7
- Threat Score
- null
Indicators of Compromise
Domain
| Value | Description | Copy |
|---|---|---|
domainrhussois.su | — | |
domaindiadtuky.su | — | |
domaintodoexy.su | — | |
domaingenians.com | — |
Ip
| Value | Description | Copy |
|---|---|---|
ip58.56.31.64 | — |
Hash
| Value | Description | Copy |
|---|---|---|
hash19259d9575d229b0412077753c6ef9e7 | — | |
hash5fe10c629656eebe75062d6e9000b352 | — | |
hash95c3fcddda57de75975733b5512e53fb | — | |
hashe6252824be8ff46e9a56993eeece0de6 | — | |
hash7b7d1152ddd31769c6f900701357ca166e3c09d6 | — | |
hashb21d875f7f9d0a0d57316f1dc9e83c9d2f8a9daf | — | |
hash57911c79078d80b7557fc68a83baff56db00427ccbc56e70d971f20d1f100585 | — | |
hashb6ff168ae6088507560a4d0b918cf19642155b4e9ffec82e738966344c7fde5e | — |
Threat ID: 6928a076fbb391e68ec3ea65
Added to database: 11/27/2025, 7:03:18 PM
Last enriched: 11/27/2025, 7:18:47 PM
Last updated: 12/4/2025, 5:39:35 PM
Views: 130
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