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mukul975
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Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
2.1 KiB
2.1 KiB
API Reference: Performing Disk Forensics Investigation
pytsk3 Library (The Sleuth Kit Python Bindings)
| Class/Method | Description |
|---|---|
pytsk3.Img_Info(path) |
Open disk image (raw, E01, AFF) |
pytsk3.FS_Info(img_info) |
Parse file system from image |
fs.open_dir(path) |
Open directory for listing |
fs.open_file(path) |
Open file for reading content |
entry.info.meta |
Access file metadata (timestamps, size, flags) |
TSK_FS_META_FLAG_UNALLOC |
Flag indicating deleted/unallocated file |
File Metadata Fields
| Field | Description |
|---|---|
meta.crtime |
File creation time (NTFS) |
meta.mtime |
Last modification time |
meta.atime |
Last access time |
meta.ctime |
Metadata change time |
meta.size |
File size in bytes |
meta.addr |
Inode/MFT entry number |
meta.flags |
Allocation flags |
NTFS MFT Structure
| Offset | Size | Description |
|---|---|---|
| 0x00 | 4 bytes | Signature ("FILE") |
| 0x16 | 2 bytes | Flags (in-use, directory) |
| 0x1C | 4 bytes | Real size of MFT entry |
Key Libraries
- pytsk3 (
pip install pytsk3): Python bindings for The Sleuth Kit - dfvfs (
pip install dfvfs): Digital Forensics Virtual File System - hashlib (stdlib): Image integrity verification (MD5, SHA-256)
- struct (stdlib): Parse binary MFT entry headers
CLI Tools (Reference)
| Tool | Description |
|---|---|
fls -r image.dd |
Recursively list files (TSK) |
icat image.dd inode |
Extract file by inode number |
mmls image.dd |
List disk partitions |
fsstat image.dd |
File system statistics |
Configuration
| Variable | Description |
|---|---|
| Image path | Path to forensic disk image (dd, E01, AFF) |
| MFT export | Exported $MFT file for NTFS-specific analysis |