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{ "file_name": "signallab-31nulled.rar", "file_hashes": "md5": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx", "sha1": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx", "sha256": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" , "file_size": 123456, "entropy": 7.92, "extracted_payload": { "file_name": "payload.exe", "file_type": "PE32+ executable (GUI) Intel 80386", "pe_header": "machine": "0x8664", "timestamp": "2025-11-02 08:15:33", "subsystem": "Windows GUI", "dll_characteristics": ["ASLR", "DEP"] , "sections": [ "name": ".text", "size_raw": 204800, "entropy": 6.7, "name": ".rdata", "size_raw": 51200, "entropy": 5.4, {"name": ".

The workflow covers both (no code execution) and dynamic (controlled execution) analyses, and it lists the exact data points you’ll want to capture to build a “full feature” profile that can be used for malware research, detection rule creation, or machine‑learning feature extraction. 1. Prepare a Safe Analysis Environment | Requirement | Recommended Tool / Setting | |-------------|-----------------------------| | Isolated VM | Windows 10/11 (64‑bit) in VirtualBox/VMware with a snapshot before each run. | | Network isolation | Disable bridge/NAT; use a host‑only adapter or a virtual firewall (e.g., INetSim) to simulate services. | | Anti‑forensics protection | Disable Windows Defender, Real‑Time Protection, and any AV that might delete/alter the sample. | | Forensic logging | Enable Windows Process Monitor (Procmon) , Process Explorer , Autoruns , Regshot , and Wireshark on the host. | | Reversing tools | IDA Pro, Ghidra, Binary Ninja, x64dbg, OllyDbg, radare2, etc. | | Static analysis suites | PEiD, PEview, Exeinfo PE, Detect It Easy (DIE), CFF Explorer, PE-bear. | | Dynamic analysis sandbox | Cuckoo Sandbox, REMnux (Linux), or a custom sandbox script using PowerShell and APIs (e.g., NtQuerySystemInformation ). | | Hashing | certutil -hashfile , sha256sum , md5sum . | | YARA | Write or use existing rules to flag known packers, crypto miners, etc. | 2. Collect Basic File Metadata | Feature | How to Extract | |---------|----------------| | File name | Already known ( signallab-31nulled.rar ). | | File size | dir signallab-31nulled.rar or Get-Item . | | Hashes | certutil -hashfile signallab-31nulled.rar MD5 SHA1 SHA256 . | | Timestamp | Get-Item signallab-31nulled.rar | Select-Object CreationTime, LastWriteTime, LastAccessTime . | | Entropy | Use PEiD → Entropy view, or binwalk -E / python -c "import math,sys; data=open('signallab-31nulled.rar','rb').read(); print(-sum((b/255.0)*math.log2(b/255.0) for b in data if b!=0))" | | File type | file signallab-31nulled.rar (should report “RAR archive data”). | | Compression / Encryption flag | RAR headers show whether the archive is encrypted ( rar v signallab-31nulled.rar ). | signallab-31nulled.rar

Export the Procmon log to CSV/TSV and then into a table like: { "file_name": "signallab-31nulled