Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects evidence of Donut shellcode execution by monitoring 'mscoree.dll' image loads initiated by Python processes. Donut is an open-source tool used to generate position-independent shellcode, often for injecting malicious payloads into memory. This rule specifically looks for scenarios where Python is used as the initiating process for loading the .NET runtime library 'mscoree.dll', which can be indicative of Donut shellcode execution.
Detects the loading of .NET Common Language Runtime (CLR) DLLs by scripting applications such as wscript, cscript, or mshta. This behavior can indicate suspicious execution, potentially involving techniques like DotNetToJScript or Donut, which use scripting hosts to execute .NET assemblies in memory. The rule specifically looks for `clr.dll`, `mscoree.dll`, or `mscorlib.dll` being loaded by a predefined list of scripting or utility executables.
'The query looks for source code files being modified immediately after a build process is started. The purpose of this is to look for malicious code injection during the build process.
More details: https://techcommunity.microsoft.com/t5/azure-sentinel/monitoring-the-software-supply-chain-with-azure-sentinel/ba-p/2176463'
More details: https://techcommunity.microsoft.com/t5/azure-sentinel/monitoring-the-software-supply-chain-with-azure-sentinel/ba-p/2176463'
