Unmasking a Multi-Stage Loader: AutoIt Abuse Leading to Vidar Stealer Command-and-Control Communication
This threat involves a sophisticated multi-stage malware infection chain initiated by execution of a commonly abused hack tool (MicrosoftToolkit. exe). The attack uses file masquerading and process discovery to evade detection and terminate security processes. An AutoIt-compiled loader processes an encrypted payload and establishes command-and-control communication linked to Vidar Stealer. The malware includes advanced anti-analysis techniques and targets sensitive data such as credentials, browser data, cryptocurrency wallets, and system information. Post-execution cleanup removes artifacts to hinder forensic analysis. The threat is assessed as medium severity due to its complexity and data theft capabilities.
AI Analysis
Technical Summary
The analyzed threat is a multi-stage malware infection chain starting with the execution of MicrosoftToolkit.exe, a known hack tool. It employs file masquerading by renaming a .dot file to .bat to evade detection. The malware performs process discovery and attempts to terminate security-related processes before extracting payloads with extract32.exe. An AutoIt-compiled executable (Replies.scr) acts as a loader, decrypting an external payload and establishing command-and-control communication with infrastructure associated with Vidar Stealer. The malware demonstrates advanced anti-analysis features including debugger detection and instrumentation callback queries. It targets credentials, browser data, cryptocurrency wallets, and system information. Post-execution cleanup routines delete artifacts and terminate processes to evade detection and complicate incident response.
Potential Impact
The malware facilitates credential theft, browser data compromise, cryptocurrency wallet theft, and system information disclosure. Its advanced evasion and anti-analysis techniques reduce detection likelihood and complicate forensic investigations. The multi-stage loader and C2 communication enable persistent and stealthy data exfiltration. No known exploits in the wild or specific affected versions are identified. The overall impact is medium severity due to the potential for sensitive data loss and operational disruption.
Mitigation Recommendations
No official patch or remediation is available as this is malware rather than a software vulnerability. Defenders should focus on detection and prevention by monitoring for execution of known hack tools like MicrosoftToolkit.exe, suspicious file masquerading (e.g., .dot to .bat renaming), and AutoIt-compiled executables. Blocking or monitoring the identified C2 domains (e.g., gz.technicalprorj.xyz, 7ctelegram.me) and hashes associated with this malware can aid in detection. Incident response should include forensic analysis to identify and remove artifacts, and credential resets where compromise is suspected. Since no vendor advisory or patch exists, patch status is not applicable.
Indicators of Compromise
- domain: gz.technicalprorj.xyz
- hash: 7ac9278876c83c9b597fae68acb6fbf9
- hash: 18150c9b96bffd20c8203ff98a4fc153929bc2c9
- hash: 881619a47b62b52305d92640cc4d4845a279c23a5a749413785fc8fcb0fdf7fb
- hash: fc27479ff929d846e7c5c5d147479c81e483a2ec911bd1501a53aa646a29620d
- hash: d4fe9f48178cdf375a3be30d17f1dc016b5861dff8683f0bb35a0ba8d44f892f
- hash: 978ad86c90d85b74947bb627ec24f8bcd26812b500e82f5af202160506ac29c6
- hash: 968ecf51c442ec0ff91f91689ac524e7e8e9eab0c1a2a65cf13e54cf95194efe
- domain: 7ctelegram.me
Unmasking a Multi-Stage Loader: AutoIt Abuse Leading to Vidar Stealer Command-and-Control Communication
Description
This threat involves a sophisticated multi-stage malware infection chain initiated by execution of a commonly abused hack tool (MicrosoftToolkit. exe). The attack uses file masquerading and process discovery to evade detection and terminate security processes. An AutoIt-compiled loader processes an encrypted payload and establishes command-and-control communication linked to Vidar Stealer. The malware includes advanced anti-analysis techniques and targets sensitive data such as credentials, browser data, cryptocurrency wallets, and system information. Post-execution cleanup removes artifacts to hinder forensic analysis. The threat is assessed as medium severity due to its complexity and data theft capabilities.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The analyzed threat is a multi-stage malware infection chain starting with the execution of MicrosoftToolkit.exe, a known hack tool. It employs file masquerading by renaming a .dot file to .bat to evade detection. The malware performs process discovery and attempts to terminate security-related processes before extracting payloads with extract32.exe. An AutoIt-compiled executable (Replies.scr) acts as a loader, decrypting an external payload and establishing command-and-control communication with infrastructure associated with Vidar Stealer. The malware demonstrates advanced anti-analysis features including debugger detection and instrumentation callback queries. It targets credentials, browser data, cryptocurrency wallets, and system information. Post-execution cleanup routines delete artifacts and terminate processes to evade detection and complicate incident response.
Potential Impact
The malware facilitates credential theft, browser data compromise, cryptocurrency wallet theft, and system information disclosure. Its advanced evasion and anti-analysis techniques reduce detection likelihood and complicate forensic investigations. The multi-stage loader and C2 communication enable persistent and stealthy data exfiltration. No known exploits in the wild or specific affected versions are identified. The overall impact is medium severity due to the potential for sensitive data loss and operational disruption.
Mitigation Recommendations
No official patch or remediation is available as this is malware rather than a software vulnerability. Defenders should focus on detection and prevention by monitoring for execution of known hack tools like MicrosoftToolkit.exe, suspicious file masquerading (e.g., .dot to .bat renaming), and AutoIt-compiled executables. Blocking or monitoring the identified C2 domains (e.g., gz.technicalprorj.xyz, 7ctelegram.me) and hashes associated with this malware can aid in detection. Incident response should include forensic analysis to identify and remove artifacts, and credential resets where compromise is suspected. Since no vendor advisory or patch exists, patch status is not applicable.
Technical Details
- Author
- AlienVault
- Tlp
- white
- References
- ["https://www.levelblue.com/blogs/spiderlabs-blog/unmasking-a-multi-stage-loader-autoit-abuse-leading-to-vidar-stealer-command-and-control-communication"]
- Adversary
- null
- Pulse Id
- 6a01c2382e61b490cfa457e4
- Threat Score
- null
Indicators of Compromise
Domain
| Value | Description | Copy |
|---|---|---|
domaingz.technicalprorj.xyz | — | |
domain7ctelegram.me | — |
Hash
| Value | Description | Copy |
|---|---|---|
hash7ac9278876c83c9b597fae68acb6fbf9 | — | |
hash18150c9b96bffd20c8203ff98a4fc153929bc2c9 | — | |
hash881619a47b62b52305d92640cc4d4845a279c23a5a749413785fc8fcb0fdf7fb | — | |
hashfc27479ff929d846e7c5c5d147479c81e483a2ec911bd1501a53aa646a29620d | — | |
hashd4fe9f48178cdf375a3be30d17f1dc016b5861dff8683f0bb35a0ba8d44f892f | — | |
hash978ad86c90d85b74947bb627ec24f8bcd26812b500e82f5af202160506ac29c6 | — | |
hash968ecf51c442ec0ff91f91689ac524e7e8e9eab0c1a2a65cf13e54cf95194efe | — |
Threat ID: 6a0228aecbff5d86104b1f07
Added to database: 5/11/2026, 7:06:22 PM
Last enriched: 5/11/2026, 7:21:43 PM
Last updated: 5/11/2026, 8:26:49 PM
Views: 3
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