Deep Malware and Phishing Analysis - Breaking Down an Access-Code-Gated Malware Delivery Chain
This analysis examines a sophisticated malware delivery chain that begins with a phishing email impersonating DocuSign. The attack employs multiple evasion techniques, including an access-code gate, time-based checks, and packing. The initial payload is a single-file .NET bundle with a valid code signing certificate. Static analysis revealed a second-stage native binary with additional obfuscation. The final payload is identified as Vidar malware. The investigation showcases the effectiveness of combining static and dynamic analysis tools to overcome advanced evasion tactics and reconstruct the full attack chain, from the initial phishing email to the final payload.
AI Analysis
Technical Summary
The analyzed threat is a multi-stage malware delivery chain that begins with a phishing email crafted to impersonate DocuSign, a widely used electronic signature platform. The phishing email contains an access-code-gated payload, requiring the victim to enter a code to proceed, which helps evade automated detection systems. The initial payload is a single-file .NET bundle that is signed with a valid code signing certificate, lending it legitimacy and reducing suspicion. This payload performs time-based checks and uses packing techniques to hinder static analysis and delay detection. Static analysis reveals a second-stage native binary that is heavily obfuscated, further complicating detection and analysis efforts. The final payload delivered is Vidar malware, a known information stealer that targets credentials, browser data, and other sensitive information. The attack chain leverages multiple MITRE ATT&CK techniques including phishing (T1566.002), code signing (T1553.002), obfuscation (T1027), process injection (T1055), and user execution (T1204.001). The use of an access-code gate and time bombs indicates a high level of sophistication aimed at bypassing sandbox and automated defenses. Indicators of compromise include specific file hashes and URLs hosted on the domain training-vibe.forum, which serves the malicious payloads. The analysis highlights the importance of combining static and dynamic analysis tools to fully reconstruct and understand the attack chain, as each stage employs different evasion tactics. Although no active exploits in the wild are reported, the presence of Vidar malware and the complexity of the delivery chain suggest a significant threat to organizations that rely on electronic document workflows and may be susceptible to phishing attacks.
Potential Impact
For European organizations, this threat poses a considerable risk primarily through credential theft and potential data exfiltration. Vidar malware is capable of harvesting sensitive information such as login credentials, browser data, and system information, which can lead to further compromise, including unauthorized access to corporate networks and financial fraud. The use of DocuSign impersonation targets sectors heavily reliant on electronic document signing, such as legal, financial services, and government agencies, which are prevalent across Europe. The sophisticated evasion techniques reduce the likelihood of early detection, increasing the chance of successful infection and lateral movement within networks. Organizations with remote or hybrid workforces may be particularly vulnerable due to increased email exposure and reliance on digital signatures. The potential for stolen credentials to be used in subsequent attacks, including ransomware or business email compromise, amplifies the threat's impact. Additionally, the malicious domain and payload hosting infrastructure could facilitate broader campaigns targeting European entities. Overall, the threat could disrupt business operations, compromise sensitive data, and cause reputational damage.
Mitigation Recommendations
1. Implement advanced email filtering solutions that can detect phishing attempts, especially those impersonating trusted brands like DocuSign, by analyzing email headers, sender reputation, and embedded URLs. 2. Educate employees on recognizing phishing emails, emphasizing the risks of entering access codes or executing attachments from unsolicited messages. 3. Monitor for and block access to known malicious domains such as training-vibe.forum at the network perimeter and DNS level. 4. Deploy endpoint detection and response (EDR) solutions capable of detecting code-signed binaries that exhibit suspicious behavior, including unpacking and process injection. 5. Use application whitelisting to restrict execution of unauthorized or unsigned binaries, especially those arriving via email. 6. Conduct regular threat hunting exercises focusing on indicators of compromise like the provided file hashes and URLs. 7. Enforce multi-factor authentication (MFA) across all critical systems to mitigate the risk posed by stolen credentials. 8. Maintain up-to-date backups and incident response plans to quickly recover from potential compromises. 9. Utilize sandboxing environments that can handle time-based and access-code gated payloads to improve detection of advanced malware. 10. Collaborate with threat intelligence sharing groups to stay informed about emerging phishing campaigns and malware variants targeting the region.
Affected Countries
Germany, United Kingdom, France, Netherlands, Sweden, Belgium, Italy
Indicators of Compromise
- hash: 2e012cb0698680cfcb0e569fb22358f6
- hash: 6dcc64c6bfec826a4dcc7e5551a7b771
- hash: 3a7f8b2c1d11f024c24c14ced04c0d4ba64b40eda0f890b393e4a06263fd019a
- hash: cd45112d3ebdaedc59adea8070148c29f378e67f388240183cfd796f50c036c5
- url: https://training-vibe.forum/bat/index.zip
- url: https://training-vibe.forum/dll/index.zip
- url: https://training-vibe.forum/pe/index.zip
- url: https://training-vibe.forum/ps/index.zip
- url: https://training-vibe.forum/py/index.zip
- domain: training-vibe.forum
Deep Malware and Phishing Analysis - Breaking Down an Access-Code-Gated Malware Delivery Chain
Description
This analysis examines a sophisticated malware delivery chain that begins with a phishing email impersonating DocuSign. The attack employs multiple evasion techniques, including an access-code gate, time-based checks, and packing. The initial payload is a single-file .NET bundle with a valid code signing certificate. Static analysis revealed a second-stage native binary with additional obfuscation. The final payload is identified as Vidar malware. The investigation showcases the effectiveness of combining static and dynamic analysis tools to overcome advanced evasion tactics and reconstruct the full attack chain, from the initial phishing email to the final payload.
AI-Powered Analysis
Technical Analysis
The analyzed threat is a multi-stage malware delivery chain that begins with a phishing email crafted to impersonate DocuSign, a widely used electronic signature platform. The phishing email contains an access-code-gated payload, requiring the victim to enter a code to proceed, which helps evade automated detection systems. The initial payload is a single-file .NET bundle that is signed with a valid code signing certificate, lending it legitimacy and reducing suspicion. This payload performs time-based checks and uses packing techniques to hinder static analysis and delay detection. Static analysis reveals a second-stage native binary that is heavily obfuscated, further complicating detection and analysis efforts. The final payload delivered is Vidar malware, a known information stealer that targets credentials, browser data, and other sensitive information. The attack chain leverages multiple MITRE ATT&CK techniques including phishing (T1566.002), code signing (T1553.002), obfuscation (T1027), process injection (T1055), and user execution (T1204.001). The use of an access-code gate and time bombs indicates a high level of sophistication aimed at bypassing sandbox and automated defenses. Indicators of compromise include specific file hashes and URLs hosted on the domain training-vibe.forum, which serves the malicious payloads. The analysis highlights the importance of combining static and dynamic analysis tools to fully reconstruct and understand the attack chain, as each stage employs different evasion tactics. Although no active exploits in the wild are reported, the presence of Vidar malware and the complexity of the delivery chain suggest a significant threat to organizations that rely on electronic document workflows and may be susceptible to phishing attacks.
Potential Impact
For European organizations, this threat poses a considerable risk primarily through credential theft and potential data exfiltration. Vidar malware is capable of harvesting sensitive information such as login credentials, browser data, and system information, which can lead to further compromise, including unauthorized access to corporate networks and financial fraud. The use of DocuSign impersonation targets sectors heavily reliant on electronic document signing, such as legal, financial services, and government agencies, which are prevalent across Europe. The sophisticated evasion techniques reduce the likelihood of early detection, increasing the chance of successful infection and lateral movement within networks. Organizations with remote or hybrid workforces may be particularly vulnerable due to increased email exposure and reliance on digital signatures. The potential for stolen credentials to be used in subsequent attacks, including ransomware or business email compromise, amplifies the threat's impact. Additionally, the malicious domain and payload hosting infrastructure could facilitate broader campaigns targeting European entities. Overall, the threat could disrupt business operations, compromise sensitive data, and cause reputational damage.
Mitigation Recommendations
1. Implement advanced email filtering solutions that can detect phishing attempts, especially those impersonating trusted brands like DocuSign, by analyzing email headers, sender reputation, and embedded URLs. 2. Educate employees on recognizing phishing emails, emphasizing the risks of entering access codes or executing attachments from unsolicited messages. 3. Monitor for and block access to known malicious domains such as training-vibe.forum at the network perimeter and DNS level. 4. Deploy endpoint detection and response (EDR) solutions capable of detecting code-signed binaries that exhibit suspicious behavior, including unpacking and process injection. 5. Use application whitelisting to restrict execution of unauthorized or unsigned binaries, especially those arriving via email. 6. Conduct regular threat hunting exercises focusing on indicators of compromise like the provided file hashes and URLs. 7. Enforce multi-factor authentication (MFA) across all critical systems to mitigate the risk posed by stolen credentials. 8. Maintain up-to-date backups and incident response plans to quickly recover from potential compromises. 9. Utilize sandboxing environments that can handle time-based and access-code gated payloads to improve detection of advanced malware. 10. Collaborate with threat intelligence sharing groups to stay informed about emerging phishing campaigns and malware variants targeting the region.
Affected Countries
Technical Details
- Author
- AlienVault
- Tlp
- white
- References
- ["https://www.joesecurity.org/blog/8930920806197220285"]
- Adversary
- null
- Pulse Id
- 695fbe0ad007a75c55c0fdbd
- Threat Score
- null
Indicators of Compromise
Hash
| Value | Description | Copy |
|---|---|---|
hash2e012cb0698680cfcb0e569fb22358f6 | — | |
hash6dcc64c6bfec826a4dcc7e5551a7b771 | — | |
hash3a7f8b2c1d11f024c24c14ced04c0d4ba64b40eda0f890b393e4a06263fd019a | — | |
hashcd45112d3ebdaedc59adea8070148c29f378e67f388240183cfd796f50c036c5 | — |
Url
| Value | Description | Copy |
|---|---|---|
urlhttps://training-vibe.forum/bat/index.zip | — | |
urlhttps://training-vibe.forum/dll/index.zip | — | |
urlhttps://training-vibe.forum/pe/index.zip | — | |
urlhttps://training-vibe.forum/ps/index.zip | — | |
urlhttps://training-vibe.forum/py/index.zip | — |
Domain
| Value | Description | Copy |
|---|---|---|
domaintraining-vibe.forum | — |
Threat ID: 695fc0a3c901b06321f657cf
Added to database: 1/8/2026, 2:35:15 PM
Last enriched: 1/8/2026, 2:49:47 PM
Last updated: 1/9/2026, 10:53:41 AM
Views: 72
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