Lumma Stealer Malware (delivered via GitHub Spam) - Pandora analysis (l6E.exe)
Lumma Stealer Malware (delivered via GitHub Spam) - Pandora analysis (l6E.exe)
AI Analysis
Technical Summary
The Lumma Stealer malware is a type of information-stealing malware that has been observed being delivered via spam campaigns on GitHub. This malware, identified in the analysis as 'l6E.exe' by the Pandora analysis team, is designed to stealthily collect sensitive information from infected systems. While specific technical details about its infection vectors, payload capabilities, or persistence mechanisms are limited in the provided data, Lumma Stealer typically targets credentials, browser data, and other personal information that can be leveraged for further attacks or financial gain. The delivery via GitHub spam suggests attackers are exploiting trusted platforms to distribute malicious payloads, potentially increasing the likelihood of initial infection due to user trust in GitHub repositories or communications. The threat level is noted as 4, and the severity is classified as low, indicating that while the malware is active, it may have limited capabilities or impact compared to more advanced threats. No known exploits in the wild have been reported, and there are no patches or specific vulnerabilities associated with this malware. The absence of affected versions implies that the malware targets end-user systems rather than exploiting a particular software vulnerability. The malware's presence in the MISP galaxy and Malpedia databases confirms its recognition in the threat intelligence community, but the lack of detailed indicators or CWEs limits the depth of technical analysis available. Overall, Lumma Stealer represents a persistent, low-severity threat primarily focused on data theft through social engineering and platform abuse rather than exploiting software flaws.
Potential Impact
For European organizations, the Lumma Stealer malware poses a risk primarily to the confidentiality of sensitive information. If successful, it can lead to credential theft, unauthorized access to corporate accounts, and potential data breaches. Although the severity is low, the use of GitHub as a delivery vector is concerning because many European developers and enterprises rely on GitHub for code hosting and collaboration, increasing exposure. The malware could facilitate lateral movement within networks if stolen credentials are reused or if access to internal systems is gained. This can result in reputational damage, regulatory penalties under GDPR for data breaches, and financial losses. However, the low severity and lack of known exploits suggest that the malware is not currently a widespread or highly destructive threat. European organizations with strong endpoint protection and user awareness programs are less likely to be impacted severely. Nonetheless, the threat underscores the importance of vigilance against social engineering and supply chain attacks, especially in software development environments.
Mitigation Recommendations
European organizations should implement targeted mitigation strategies beyond generic advice: 1) Enhance email and platform spam filtering to detect and block GitHub spam campaigns delivering malware. 2) Educate developers and employees about the risks of downloading and executing files from untrusted or unexpected GitHub repositories or communications. 3) Employ endpoint detection and response (EDR) solutions capable of identifying and quarantining suspicious executables like 'l6E.exe'. 4) Enforce strict application whitelisting policies to prevent execution of unauthorized binaries. 5) Monitor network traffic for unusual outbound connections that may indicate data exfiltration attempts. 6) Regularly audit and rotate credentials, especially those used in development and production environments, to limit the impact of stolen credentials. 7) Leverage threat intelligence feeds to stay updated on emerging indicators related to Lumma Stealer and similar threats. 8) Implement multi-factor authentication (MFA) across all critical systems to reduce the risk of compromised credentials being abused. These measures collectively reduce the attack surface and improve detection and response capabilities against this malware.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden
Lumma Stealer Malware (delivered via GitHub Spam) - Pandora analysis (l6E.exe)
Description
Lumma Stealer Malware (delivered via GitHub Spam) - Pandora analysis (l6E.exe)
AI-Powered Analysis
Technical Analysis
The Lumma Stealer malware is a type of information-stealing malware that has been observed being delivered via spam campaigns on GitHub. This malware, identified in the analysis as 'l6E.exe' by the Pandora analysis team, is designed to stealthily collect sensitive information from infected systems. While specific technical details about its infection vectors, payload capabilities, or persistence mechanisms are limited in the provided data, Lumma Stealer typically targets credentials, browser data, and other personal information that can be leveraged for further attacks or financial gain. The delivery via GitHub spam suggests attackers are exploiting trusted platforms to distribute malicious payloads, potentially increasing the likelihood of initial infection due to user trust in GitHub repositories or communications. The threat level is noted as 4, and the severity is classified as low, indicating that while the malware is active, it may have limited capabilities or impact compared to more advanced threats. No known exploits in the wild have been reported, and there are no patches or specific vulnerabilities associated with this malware. The absence of affected versions implies that the malware targets end-user systems rather than exploiting a particular software vulnerability. The malware's presence in the MISP galaxy and Malpedia databases confirms its recognition in the threat intelligence community, but the lack of detailed indicators or CWEs limits the depth of technical analysis available. Overall, Lumma Stealer represents a persistent, low-severity threat primarily focused on data theft through social engineering and platform abuse rather than exploiting software flaws.
Potential Impact
For European organizations, the Lumma Stealer malware poses a risk primarily to the confidentiality of sensitive information. If successful, it can lead to credential theft, unauthorized access to corporate accounts, and potential data breaches. Although the severity is low, the use of GitHub as a delivery vector is concerning because many European developers and enterprises rely on GitHub for code hosting and collaboration, increasing exposure. The malware could facilitate lateral movement within networks if stolen credentials are reused or if access to internal systems is gained. This can result in reputational damage, regulatory penalties under GDPR for data breaches, and financial losses. However, the low severity and lack of known exploits suggest that the malware is not currently a widespread or highly destructive threat. European organizations with strong endpoint protection and user awareness programs are less likely to be impacted severely. Nonetheless, the threat underscores the importance of vigilance against social engineering and supply chain attacks, especially in software development environments.
Mitigation Recommendations
European organizations should implement targeted mitigation strategies beyond generic advice: 1) Enhance email and platform spam filtering to detect and block GitHub spam campaigns delivering malware. 2) Educate developers and employees about the risks of downloading and executing files from untrusted or unexpected GitHub repositories or communications. 3) Employ endpoint detection and response (EDR) solutions capable of identifying and quarantining suspicious executables like 'l6E.exe'. 4) Enforce strict application whitelisting policies to prevent execution of unauthorized binaries. 5) Monitor network traffic for unusual outbound connections that may indicate data exfiltration attempts. 6) Regularly audit and rotate credentials, especially those used in development and production environments, to limit the impact of stolen credentials. 7) Leverage threat intelligence feeds to stay updated on emerging indicators related to Lumma Stealer and similar threats. 8) Implement multi-factor authentication (MFA) across all critical systems to reduce the risk of compromised credentials being abused. These measures collectively reduce the attack surface and improve detection and response capabilities against this malware.
Affected Countries
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Technical Details
- Threat Level
- 4
- Analysis
- 0
- Original Timestamp
- 1726731053
Threat ID: 682acdbebbaf20d303f0c303
Added to database: 5/19/2025, 6:20:46 AM
Last enriched: 7/9/2025, 12:25:18 AM
Last updated: 8/1/2025, 9:11:09 AM
Views: 7
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