The Curious Case of the Triton Malware Fork
A malicious fork of the MacOS app Triton was discovered on GitHub, containing Windows-targeted malware disguised as the legitimate application. The attacker altered the repository to redirect download links to a ZIP file hosting the malware. The malware exhibits sophisticated evasion and anti-analysis techniques, along with potential cryptocurrency-related functionality. Detection rates are low, and the unusual implementation suggests either an amateur effort or a possible AI-generated attack. This incident raises concerns about the security of code hosting platforms like GitHub and the prioritization of security by Microsoft. No known exploits in the wild have been reported yet. Indicators include malicious hashes, an IP address, and a suspicious domain. Organizations should be cautious when downloading software from public repositories and consider alternative platforms that better align with security and privacy values.
AI Analysis
Technical Summary
The threat involves a malicious fork of the Triton application originally targeting MacOS, discovered on GitHub. This fork, however, contains Windows-targeted malware disguised as the legitimate Triton app. The attacker modified the original repository by redirecting download links to a ZIP archive hosting the malware payload. Technical analysis reveals the malware employs advanced evasion techniques, including anti-analysis features designed to hinder detection and forensic investigation. Additionally, the malware may include cryptocurrency-related functionality, possibly for mining or theft. The low detection rate by antivirus engines and peculiar coding style suggest the malware could be an amateur attempt or potentially generated by AI tools, indicating evolving threat actor tactics. The incident highlights broader security concerns about the integrity and trustworthiness of code hosting platforms like GitHub, especially given Microsoft's ownership and security priorities. The malware uses multiple tactics and techniques referenced by MITRE ATT&CK IDs such as T1082 (System Information Discovery), T1071 (Application Layer Protocol), T1140 (Deobfuscate/Decode Files or Information), T1562 (Impair Defenses), T1090 (Proxy), T1059 (Command and Scripting Interpreter), T1497 (Virtualization/Sandbox Evasion), T1057 (Process Discovery), T1573 (Encrypted Channel), and T1012 (Query Registry). Indicators of compromise include specific file hashes, an IP address (89.169.12.160), a suspicious URL, and a domain (omg.lol). No CVE or known threat actor attribution is available, and no exploits in the wild have been reported to date.
Potential Impact
If deployed successfully, this malware could compromise Windows systems by masquerading as a legitimate MacOS application, potentially leading to unauthorized access, data exfiltration, or cryptocurrency theft. The sophisticated evasion techniques reduce the likelihood of detection by traditional security tools, increasing dwell time and risk of damage. Organizations relying on open-source software from public repositories may be exposed to supply chain risks, as attackers can manipulate popular projects to distribute malware. The incident undermines trust in widely used code hosting platforms, potentially affecting software development workflows globally. While no known exploits in the wild have been reported, the presence of cryptocurrency functionality could lead to resource abuse and financial losses. The malware’s ability to evade sandbox and forensic analysis complicates incident response and remediation efforts. Overall, the threat poses a medium risk but could escalate if attackers improve sophistication or target high-value organizations.
Mitigation Recommendations
1. Verify software authenticity by checking official sources and cryptographic signatures before downloading or installing applications from public repositories. 2. Implement strict code review and repository monitoring policies to detect unauthorized changes or forks, especially for critical open-source projects. 3. Employ advanced endpoint detection and response (EDR) solutions capable of identifying evasion and anti-analysis techniques. 4. Use network monitoring to detect suspicious outbound connections, especially to known malicious IPs or domains such as 89.169.12.160 and omg.lol. 5. Educate developers and users about the risks of downloading software from untrusted forks or repositories and encourage use of vetted package managers. 6. Consider adopting alternative code hosting platforms with stronger security controls and privacy commitments if GitHub’s security posture is a concern. 7. Regularly update antivirus and anti-malware signatures and heuristics to improve detection of emerging threats. 8. Employ sandboxing and behavioral analysis tools to detect malware that uses obfuscation and anti-analysis techniques. 9. Monitor for indicators of compromise (IOCs) such as the provided hashes and URLs to quickly identify potential infections. 10. Establish incident response plans that include supply chain attack scenarios and ensure rapid containment and remediation.
Affected Countries
United States, Germany, United Kingdom, Canada, Australia, France, Japan, South Korea, Netherlands, Sweden
Indicators of Compromise
- hash: f1656a8c3abfcbd368424f9eda42c172
- hash: d2891f7c71af662e10477d737aefcac4b8feffc3
- hash: 39b29c38c03868854fb972e7b18f22c2c76520cfb6edf46ba5a5618f74943eac
- ip: 89.169.12.160
- url: http://89.169.12.160/api/NTEsN2QsN2UsNTgsNWIsNjAsNjIsNjcsYyw3OSw=
- domain: omg.lol
The Curious Case of the Triton Malware Fork
Description
A malicious fork of the MacOS app Triton was discovered on GitHub, containing Windows-targeted malware disguised as the legitimate application. The attacker altered the repository to redirect download links to a ZIP file hosting the malware. The malware exhibits sophisticated evasion and anti-analysis techniques, along with potential cryptocurrency-related functionality. Detection rates are low, and the unusual implementation suggests either an amateur effort or a possible AI-generated attack. This incident raises concerns about the security of code hosting platforms like GitHub and the prioritization of security by Microsoft. No known exploits in the wild have been reported yet. Indicators include malicious hashes, an IP address, and a suspicious domain. Organizations should be cautious when downloading software from public repositories and consider alternative platforms that better align with security and privacy values.
AI-Powered Analysis
Technical Analysis
The threat involves a malicious fork of the Triton application originally targeting MacOS, discovered on GitHub. This fork, however, contains Windows-targeted malware disguised as the legitimate Triton app. The attacker modified the original repository by redirecting download links to a ZIP archive hosting the malware payload. Technical analysis reveals the malware employs advanced evasion techniques, including anti-analysis features designed to hinder detection and forensic investigation. Additionally, the malware may include cryptocurrency-related functionality, possibly for mining or theft. The low detection rate by antivirus engines and peculiar coding style suggest the malware could be an amateur attempt or potentially generated by AI tools, indicating evolving threat actor tactics. The incident highlights broader security concerns about the integrity and trustworthiness of code hosting platforms like GitHub, especially given Microsoft's ownership and security priorities. The malware uses multiple tactics and techniques referenced by MITRE ATT&CK IDs such as T1082 (System Information Discovery), T1071 (Application Layer Protocol), T1140 (Deobfuscate/Decode Files or Information), T1562 (Impair Defenses), T1090 (Proxy), T1059 (Command and Scripting Interpreter), T1497 (Virtualization/Sandbox Evasion), T1057 (Process Discovery), T1573 (Encrypted Channel), and T1012 (Query Registry). Indicators of compromise include specific file hashes, an IP address (89.169.12.160), a suspicious URL, and a domain (omg.lol). No CVE or known threat actor attribution is available, and no exploits in the wild have been reported to date.
Potential Impact
If deployed successfully, this malware could compromise Windows systems by masquerading as a legitimate MacOS application, potentially leading to unauthorized access, data exfiltration, or cryptocurrency theft. The sophisticated evasion techniques reduce the likelihood of detection by traditional security tools, increasing dwell time and risk of damage. Organizations relying on open-source software from public repositories may be exposed to supply chain risks, as attackers can manipulate popular projects to distribute malware. The incident undermines trust in widely used code hosting platforms, potentially affecting software development workflows globally. While no known exploits in the wild have been reported, the presence of cryptocurrency functionality could lead to resource abuse and financial losses. The malware’s ability to evade sandbox and forensic analysis complicates incident response and remediation efforts. Overall, the threat poses a medium risk but could escalate if attackers improve sophistication or target high-value organizations.
Mitigation Recommendations
1. Verify software authenticity by checking official sources and cryptographic signatures before downloading or installing applications from public repositories. 2. Implement strict code review and repository monitoring policies to detect unauthorized changes or forks, especially for critical open-source projects. 3. Employ advanced endpoint detection and response (EDR) solutions capable of identifying evasion and anti-analysis techniques. 4. Use network monitoring to detect suspicious outbound connections, especially to known malicious IPs or domains such as 89.169.12.160 and omg.lol. 5. Educate developers and users about the risks of downloading software from untrusted forks or repositories and encourage use of vetted package managers. 6. Consider adopting alternative code hosting platforms with stronger security controls and privacy commitments if GitHub’s security posture is a concern. 7. Regularly update antivirus and anti-malware signatures and heuristics to improve detection of emerging threats. 8. Employ sandboxing and behavioral analysis tools to detect malware that uses obfuscation and anti-analysis techniques. 9. Monitor for indicators of compromise (IOCs) such as the provided hashes and URLs to quickly identify potential infections. 10. Establish incident response plans that include supply chain attack scenarios and ensure rapid containment and remediation.
Technical Details
- Author
- AlienVault
- Tlp
- white
- References
- ["https://brennan.day/the-curious-case-of-the-triton-malware-fork"]
- Adversary
- null
- Pulse Id
- 69972ba2882e7d9de0dc29f9
- Threat Score
- null
Indicators of Compromise
Hash
| Value | Description | Copy |
|---|---|---|
hashf1656a8c3abfcbd368424f9eda42c172 | — | |
hashd2891f7c71af662e10477d737aefcac4b8feffc3 | — | |
hash39b29c38c03868854fb972e7b18f22c2c76520cfb6edf46ba5a5618f74943eac | — |
Ip
| Value | Description | Copy |
|---|---|---|
ip89.169.12.160 | — |
Url
| Value | Description | Copy |
|---|---|---|
urlhttp://89.169.12.160/api/NTEsN2QsN2UsNTgsNWIsNjAsNjIsNjcsYyw3OSw= | — |
Domain
| Value | Description | Copy |
|---|---|---|
domainomg.lol | — |
Threat ID: 69974fe8d7880ec89b065bcc
Added to database: 2/19/2026, 6:01:12 PM
Last enriched: 2/19/2026, 6:17:25 PM
Last updated: 2/19/2026, 8:52:05 PM
Views: 4
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