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CrimsonEDR - Simulate The Behavior Of AV/EDR For Malware Development Training

By: Zion3R


CrimsonEDR is an open-source project engineered to identify specific malware patterns, offering a tool for honing skills in circumventing Endpoint Detection and Response (EDR). By leveraging diverse detection methods, it empowers users to deepen their understanding of security evasion tactics.


Features

Detection Description
Direct Syscall Detects the usage of direct system calls, often employed by malware to bypass traditional API hooks.
NTDLL Unhooking Identifies attempts to unhook functions within the NTDLL library, a common evasion technique.
AMSI Patch Detects modifications to the Anti-Malware Scan Interface (AMSI) through byte-level analysis.
ETW Patch Detects byte-level alterations to Event Tracing for Windows (ETW), commonly manipulated by malware to evade detection.
PE Stomping Identifies instances of PE (Portable Executable) stomping.
Reflective PE Loading Detects the reflective loading of PE files, a technique employed by malware to avoid static analysis.
Unbacked Thread Origin Identifies threads originating from unbacked memory regions, often indicative of malicious activity.
Unbacked Thread Start Address Detects threads with start addresses pointing to unbacked memory, a potential sign of code injection.
API hooking Places a hook on the NtWriteVirtualMemory function to monitor memory modifications.
Custom Pattern Search Allows users to search for specific patterns provided in a JSON file, facilitating the identification of known malware signatures.

Installation

To get started with CrimsonEDR, follow these steps:

  1. Install dependancy: bash sudo apt-get install gcc-mingw-w64-x86-64
  2. Clone the repository: bash git clone https://github.com/Helixo32/CrimsonEDR
  3. Compile the project: bash cd CrimsonEDR; chmod +x compile.sh; ./compile.sh

โš ๏ธ Warning

Windows Defender and other antivirus programs may flag the DLL as malicious due to its content containing bytes used to verify if the AMSI has been patched. Please ensure to whitelist the DLL or disable your antivirus temporarily when using CrimsonEDR to avoid any interruptions.

Usage

To use CrimsonEDR, follow these steps:

  1. Make sure the ioc.json file is placed in the current directory from which the executable being monitored is launched. For example, if you launch your executable to monitor from C:\Users\admin\, the DLL will look for ioc.json in C:\Users\admin\ioc.json. Currently, ioc.json contains patterns related to msfvenom. You can easily add your own in the following format:
{
"IOC": [
["0x03", "0x4c", "0x24", "0x08", "0x45", "0x39", "0xd1", "0x75"],
["0xf1", "0x4c", "0x03", "0x4c", "0x24", "0x08", "0x45", "0x39"],
["0x58", "0x44", "0x8b", "0x40", "0x24", "0x49", "0x01", "0xd0"],
["0x66", "0x41", "0x8b", "0x0c", "0x48", "0x44", "0x8b", "0x40"],
["0x8b", "0x0c", "0x48", "0x44", "0x8b", "0x40", "0x1c", "0x49"],
["0x01", "0xc1", "0x38", "0xe0", "0x75", "0xf1", "0x4c", "0x03"],
["0x24", "0x49", "0x01", "0xd0", "0x66", "0x41", "0x8b", "0x0c"],
["0xe8", "0xcc", "0x00", "0x00", "0x00", "0x41", "0x51", "0x41"]
]
}
  1. Execute CrimsonEDRPanel.exe with the following arguments:

    • -d <path_to_dll>: Specifies the path to the CrimsonEDR.dll file.

    • -p <process_id>: Specifies the Process ID (PID) of the target process where you want to inject the DLL.

For example:

.\CrimsonEDRPanel.exe -d C:\Temp\CrimsonEDR.dll -p 1234

Useful Links

Here are some useful resources that helped in the development of this project:

Contact

For questions, feedback, or support, please reach out to me via:



Py-Amsi - Scan Strings Or Files For Malware Using The Windows Antimalware Scan Interface

By: Zion3R


py-amsi is a library that scans strings or files for malware using the Windows Antimalware Scan Interface (AMSI) API. AMSI is an interface native to Windows that allows applications to ask the antivirus installed on the system to analyse a file/string. AMSI is not tied to Windows Defender. Antivirus providers implement the AMSI interface to receive calls from applications. This library takes advantage of the API to make antivirus scans in python. Read more about the Windows AMSI API here.


Installation

  • Via pip

    pip install pyamsi
  • Clone repository

    git clone https://github.com/Tomiwa-Ot/py-amsi.git
    cd py-amsi/
    python setup.py install

Usage

dictionary of the format # { # 'Sample Size' : 68, // The string/file size in bytes # 'Risk Level' : 0, // The risk level as suggested by the antivirus # 'Message' : 'File is clean' // Response message # }" dir="auto">
from pyamsi import Amsi

# Scan a file
Amsi.scan_file(file_path, debug=True) # debug is optional and False by default

# Scan string
Amsi.scan_string(string, string_name, debug=False) # debug is optional and False by default

# Both functions return a dictionary of the format
# {
# 'Sample Size' : 68, // The string/file size in bytes
# 'Risk Level' : 0, // The risk level as suggested by the antivirus
# 'Message' : 'File is clean' // Response message
# }
Risk Level Meaning
0 AMSI_RESULT_CLEAN (File is clean)
1 AMSI_RESULT_NOT_DETECTED (No threat detected)
16384 AMSI_RESULT_BLOCKED_BY_ADMIN_START (Threat is blocked by the administrator)
20479 AMSI_RESULT_BLOCKED_BY_ADMIN_END (Threat is blocked by the administrator)
32768 AMSI_RESULT_DETECTED (File is considered malware)

Docs

https://tomiwa-ot.github.io/py-amsi/index.html



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