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Ibrahim Saud

@tektrix
IndiaCompletionist
2 followers18,458 downloads7,116 copies47 likes38,530 views

11,679 detections

This rule detects malicious PowerShell execution originating from common Office or script-based parent processes (explorer.exe, mshta.exe, wscript.exe). The detection specifically looks for hidden command-line flags combined with indicators related to the Konni/VelvetCake campaign, such as specific artifact filenames (update1.vbs, update2.ps1) or remote downloads from raw.githubusercontent.com.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
Detects the creation of a scheduled task named 'OneDriveUpdateScheduler' and the subsequent execution of 'update1.ps1' or 'update2.ps1' by 'explorer.exe'. This behavior is associated with the Konni/VelvetCake malware families, which use this technique to maintain persistence and C2 connectivity.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
103
Detects execution of PowerShell commands initiated by LNK files, characteristic of Konni/VelvetCake spear-phishing campaigns. The rule monitors for PowerShell processes launched by shell applications (explorer, rundll32, etc.) using hidden windows and fetching specific malware-related filenames or downloading from AppData directories.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
103
Detects second-stage reconnaissance patterns indicative of the VelvetCake framework. The rule identifies PowerShell execution that combines multiple discovery commands (system information, network configuration, process listing, file system inspection, and antivirus/security software enumeration) within a single execution sequence or related process events.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
Detects non-browser and non-messaging processes accessing both browser credential stores (like 'Login Data' or 'Cookies') and messaging application session storage (Slack/Discord LevelDB) in a single session. This pattern is characteristic of credential-stealing malware, such as RevStealer, which targets both saved web browser credentials and application session tokens for exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
203
Detects RevStealer malware attempting to use blockchain infrastructure for C2 communication or failover. The rules identify specific 'eth_call' JSON-RPC method calls to Polygon smart contracts containing hardcoded indicators, as well as TLS connections to known public RPC providers used as fallback C2 infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
Detects the loading of an unsigned or attacker-controlled DLL into a SYSTEM-context dllhost.exe process, consistent with the exploitation of dangling COM CrossDevice CLSIDs (e.g., forcing ICreateObject::Proc3 to LoadLibrary from a C:\ProgramData location).
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
This rule detects potential execution of Vidar Stealer by identifying specific diagnostic loader strings (e.g., 'Loader: write failed') within file modification and process execution events. The presence of these strings in file metadata or command-line arguments indicates stage-specific activity related to the malware's loading process.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
Detects a SYSTEM-level dllhost.exe process, associated with specific COM object instantiation (CLSID {135fd325-45b7-4c30-89f8-4386961669f0}), loading a DLL from the C:\ProgramData\ directory. This behavior is indicative of an attacker-planted DLL being unmarshaled through a crafted OBJREF, effectively bypassing security controls like EOAC_NO_CUSTOM_MARSHAL.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
Detects the compiled x86/x64 fetch-decode-execute dispatch loop used by the Vidar Stealer custom VM bytecode interpreter (v2.0+). The rule identifies the structural jump-table bounds-check and computed-jump idiom that is consistent across different builds of the malware, despite randomization of opcode values and XOR keys.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
003
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