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Awais Munir

@iawais
https://threatnexus.onlineTrusted contributorCompletionist
15 followers193 downloads1,508 copies159 likes54,085 views

76 detections

This rule detects suspicious `conhost.exe` processes executing with the `--headless` argument and other indicators commonly associated with malware or malicious activity. The presence of `--headless` suggests an attempt to hide the console window, while additional command-line arguments like `svchost.exe`, `certutil -decode`, paths within `Users\Public` or `AppData`, and specific file extensions (`.ico`, `.png`) or keywords (`MRB_`, `DA_NEW_VER_`, `BOT`) further indicate potential compromise. The rule also looks for initiating processes like `cmd.exe`, `powershell.exe`, `curl`, or `start` which are often used to launch malicious payloads.
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Awais Munir@iawais
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Detections.ai Community
8 months ago
8054
This rule detects suspicious Python script execution masquerading as 'svchost.exe'. Specifically, it looks for 'svchost.exe' processes running from a user's profile directory that execute Python code containing 'import', 'requests', 'exec(', and references to 'http://' or 'https://' in the command line. This pattern is indicative of a Python-based malware or script attempting to download and execute additional code, potentially for command and control or further compromise, while trying to blend in with legitimate system processes.
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Awais Munir@iawais
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Detections.ai Community
8 months ago
1046
This rule detects suspicious Python script execution via svchost.exe. Specifically, it looks for svchost.exe processes running from a user's profile directory that execute Python commands containing 'import', 'requests', 'exec(', and a URL (http:// or https://). This pattern is indicative of a Python interpreter being used to download and execute malicious code, potentially masquerading as a legitimate svchost process.
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Awais Munir@iawais
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Detections.ai Community
8 months ago
0026
This rule detects suspicious activity related to Notepad++ updater (gup.exe or update.exe) executing reconnaissance commands or loading suspicious DLLs. Specifically, it looks for the updater process initiating common reconnaissance tools like cmd.exe, powershell.exe, or curl.exe with commands such as 'whoami', 'tasklist', 'systeminfo', 'netstat', 'ipconfig', or 'curl' that include redirection for staging. Additionally, it correlates this activity with the loading of suspicious DLLs (e.g., log.dll) from unusual locations like AppData or Temp folders, potentially indicating DLL sideloading.
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Awais Munir@iawais
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Detections.ai Community
9 months ago
513308
This rule detects suspicious command-line activity involving 'conhost.exe' running in headless mode, combined with specific keywords often associated with malware or malicious scripts. The presence of '--headless' with other suspicious strings like 'svchost.exe', 'certutil -decode', common temporary directories, or specific file extensions/initiating processes (cmd.exe, powershell.exe, curl) suggests an attempt to execute hidden or obfuscated malicious code. This pattern is frequently observed in various stages of an attack, including execution, persistence, and defense evasion.
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Awais Munir@iawais
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Detections.ai Community
9 months ago
0127
This rule detects suspicious process creation patterns indicative of the MuddyWater (also known as RustyWater) APT group. Specifically, it looks for Microsoft Office applications (Word, Excel, PowerPoint) launching scripting or Living Off The Land Binaries (LOLBins) such as cmd.exe, powershell.exe, mshta.exe, rundll32.exe, wscript.exe, or cscript.exe. The detection is further narrowed down by checking if these processes are created in suspicious writable paths like ProgramData, Users\Public, AppData\Roaming, or AppData\Local\Temp. Additionally, the rule includes optional enrichment for known MuddyWater/RustyWater payload names (reddit.exe, art.exe, cloud.exe, nginx.exe), persistence via the Run registry key, and the dropping of a specific staging artifact named 'CertificationKit.ini'.
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Awais Munir@iawais
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Detections.ai Community
10 months ago
795521
This rule detects outbound network connections initiated by 'chrome.exe' to a predefined list of known Command and Control (C2) domains over HTTPS (port 443). This indicates potential communication with malicious infrastructure.
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Awais Munir@iawais
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Detections.ai Community
10 months ago
12512956
This rule detects several suspicious activities often associated with post-exploitation and defense evasion. It identifies PowerShell commands used for recursively searching for msbuild.exe, tampering with Windows Defender settings (disabling real-time monitoring or adding exclusions), and downloading files from the internet to common temporary or application data directories. Additionally, it flags msbuild.exe executing suspicious .proj files from temporary directories, and any executable launched from temporary or program data folders by PowerShell or MSBuild. The rule also includes detection for persistence via .url file creation in the Startup folder and the dropping of specific suspicious files (.proj, pins.dat, staxs.exe, tybd7.exe) by PowerShell or MSBuild in temporary or program data directories.
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Awais Munir@iawais
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Detections.ai Community
10 months ago
2034
Detection rule generated by AI system
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Awais Munir@iawais
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Detections.ai Community
10 months ago
0027
This rule detects the loading of unsigned or untrusted DLLs from suspicious, non-standard file paths into a set of common Windows processes. It correlates DLL load events with recent process executions to identify potentially malicious shared module usage, often indicative of DLL hijacking or side-loading techniques. The rule specifically looks for DLLs loaded from paths like \Users\Public\, \Temp\, \AppData\, \ProgramData\, \Downloads\, and \PerfLogs\, into processes such as explorer.exe, svchost.exe, lsass.exe, and common applications like chrome.exe or winword.exe. It then filters these events to only include DLLs that are either unsigned or untrusted, and whose signer is not part of a predefined list of trusted entities (e.g., Microsoft, Google).
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Awais Munir@iawais
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Detections.ai Community
10 months ago
1679963
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