Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills

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
This commit is contained in:
mukul975
2026-03-10 21:02:12 +01:00
parent c74d52fa30
commit 27c6414ca5
1390 changed files with 106806 additions and 0 deletions
@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2025 Anthropic Agent Skills Contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
@@ -0,0 +1,56 @@
# API Reference: SQLite Database Forensics
## SQLite File Header (First 100 Bytes)
| Offset | Size | Description |
|--------|------|-------------|
| 0 | 16 | Magic: `SQLite format 3\000` |
| 16 | 2 | Page size (512-65536; 1 means 65536) |
| 24 | 4 | File change counter |
| 28 | 4 | Database size in pages |
| 32 | 4 | First freelist trunk page |
| 36 | 4 | Total freelist pages |
| 52 | 4 | Text encoding (1=UTF-8, 2=UTF-16le, 3=UTF-16be) |
## Page Types
| Type Byte | Description |
|-----------|-------------|
| `0x02` | Index interior (B-tree) |
| `0x05` | Table interior (B-tree) |
| `0x0A` | Index leaf (B-tree) |
| `0x0D` | Table leaf (B-tree) |
## Timestamp Decoders
| Format | Epoch | Conversion |
|--------|-------|------------|
| Unix | 1970-01-01 | `datetime.utcfromtimestamp(val)` |
| Chrome/WebKit | 1601-01-01 | `(val / 1e6) - 11644473600` seconds since Unix epoch |
| Mac Absolute | 2001-01-01 | `datetime(2001,1,1) + timedelta(seconds=val)` |
| Mozilla PRTime | 1970-01-01 | `val / 1e6` seconds since Unix epoch |
## Common Forensic Databases
| Application | File | Key Tables |
|------------|------|------------|
| Chrome | `History` | `urls`, `visits`, `downloads` |
| Firefox | `places.sqlite` | `moz_places`, `moz_historyvisits` |
| WhatsApp | `msgstore.db` | `messages`, `chat_list` |
| iMessage | `sms.db` | `message`, `handle`, `chat` |
| Android SMS | `mmssms.db` | `sms`, `threads` |
## Python Libraries
| Library | Version | Purpose |
|---------|---------|---------|
| `sqlite3` | stdlib | Query database tables |
| `struct` | stdlib | Parse binary header and page structures |
| `os` / `pathlib` | stdlib | File size and path operations |
## References
- SQLite File Format: https://www.sqlite.org/fileformat2.html
- SQLite WAL Format: https://www.sqlite.org/wal.html
- Belkasoft SQLite Analysis: https://belkasoft.com/sqlite-analysis
- Sanderson Forensics SQLite: https://sqliteforensictoolkit.com/
@@ -0,0 +1,199 @@
#!/usr/bin/env python3
"""Agent for SQLite database forensics.
Parses SQLite file headers, analyzes freelist pages for deleted records,
examines WAL files, decodes browser/app timestamps, and extracts
evidence from common forensic databases.
"""
import struct
import sqlite3
import json
import sys
import os
from datetime import datetime, timedelta
from pathlib import Path
class SQLiteForensicsAgent:
"""Performs forensic analysis on SQLite database files."""
def __init__(self, db_path, output_dir="./sqlite_forensics"):
self.db_path = db_path
self.output_dir = Path(output_dir)
self.output_dir.mkdir(parents=True, exist_ok=True)
self.findings = []
def parse_header(self):
"""Parse the 100-byte SQLite database header."""
with open(self.db_path, "rb") as f:
header = f.read(100)
magic = header[0:16]
if magic != b"SQLite format 3\x00":
return {"error": "Not a valid SQLite database"}
page_size = struct.unpack(">H", header[16:18])[0]
if page_size == 1:
page_size = 65536
return {
"magic": magic[:15].decode("ascii"),
"page_size": page_size,
"write_format": header[18],
"read_format": header[19],
"change_counter": struct.unpack(">I", header[24:28])[0],
"db_size_pages": struct.unpack(">I", header[28:32])[0],
"first_freelist_page": struct.unpack(">I", header[32:36])[0],
"total_freelist_pages": struct.unpack(">I", header[36:40])[0],
"schema_cookie": struct.unpack(">I", header[40:44])[0],
"text_encoding": {1: "UTF-8", 2: "UTF-16le", 3: "UTF-16be"}.get(
struct.unpack(">I", header[52:56])[0], "unknown"),
"db_size_bytes": os.path.getsize(self.db_path),
}
def analyze_freelist(self):
"""Walk freelist trunk chain to identify pages with deleted data."""
with open(self.db_path, "rb") as f:
header = f.read(100)
page_size = struct.unpack(">H", header[16:18])[0]
if page_size == 1:
page_size = 65536
first_trunk = struct.unpack(">I", header[32:36])[0]
total_free = struct.unpack(">I", header[36:40])[0]
if first_trunk == 0:
return {"freelist_pages": 0, "trunk_pages": [], "leaf_pages": []}
trunk_pages, leaf_pages = [], []
trunk = first_trunk
while trunk != 0:
offset = (trunk - 1) * page_size
f.seek(offset)
page_data = f.read(page_size)
next_trunk = struct.unpack(">I", page_data[0:4])[0]
leaf_count = struct.unpack(">I", page_data[4:8])[0]
leaves = []
for i in range(leaf_count):
lp = struct.unpack(">I", page_data[8 + i * 4:12 + i * 4])[0]
leaves.append(lp)
trunk_pages.append({"page": trunk, "leaf_count": leaf_count})
leaf_pages.extend(leaves)
trunk = next_trunk
if leaf_pages:
self.findings.append({"type": "freelist_data",
"pages": len(leaf_pages),
"note": "Deleted records may be recoverable"})
return {"freelist_pages": total_free,
"trunk_pages": trunk_pages, "leaf_pages": leaf_pages}
def extract_freelist_pages(self):
"""Dump raw freelist leaf pages for hex analysis."""
info = self.analyze_freelist()
with open(self.db_path, "rb") as f:
hdr = f.read(100)
page_size = struct.unpack(">H", hdr[16:18])[0]
if page_size == 1:
page_size = 65536
out_dir = self.output_dir / "freelist_pages"
out_dir.mkdir(exist_ok=True)
for pn in info["leaf_pages"]:
f.seek((pn - 1) * page_size)
data = f.read(page_size)
(out_dir / f"page_{pn}.bin").write_bytes(data)
return len(info["leaf_pages"])
def parse_wal(self):
"""Parse WAL file frames for transaction history."""
wal_path = self.db_path + "-wal"
if not os.path.exists(wal_path):
return {"wal_exists": False}
with open(wal_path, "rb") as f:
header = f.read(32)
magic = struct.unpack(">I", header[0:4])[0]
page_size = struct.unpack(">I", header[8:12])[0]
checkpoint_seq = struct.unpack(">I", header[12:16])[0]
file_size = os.path.getsize(wal_path)
frames = []
offset = 32
frame_num = 0
while offset + 24 + page_size <= file_size:
f.seek(offset)
fh = f.read(24)
page_number = struct.unpack(">I", fh[0:4])[0]
frames.append({"frame": frame_num, "page": page_number,
"offset": offset})
offset += 24 + page_size
frame_num += 1
return {"wal_exists": True, "magic": hex(magic),
"page_size": page_size, "checkpoint_seq": checkpoint_seq,
"total_frames": len(frames), "frames": frames[:50]}
def query_tables(self):
"""List all tables and row counts in the database."""
conn = sqlite3.connect(f"file:{self.db_path}?mode=ro", uri=True)
cursor = conn.cursor()
cursor.execute("SELECT name FROM sqlite_master WHERE type='table'")
tables = []
for (name,) in cursor.fetchall():
try:
cursor.execute(f'SELECT COUNT(*) FROM "{name}"')
count = cursor.fetchone()[0]
except sqlite3.OperationalError:
count = -1
tables.append({"table": name, "row_count": count})
conn.close()
return tables
@staticmethod
def decode_timestamp(value, fmt="unix"):
"""Decode timestamps from common database formats."""
try:
if fmt == "unix":
return datetime.utcfromtimestamp(value).isoformat()
elif fmt == "chrome":
epoch_delta = 11644473600
return datetime.utcfromtimestamp(
(value / 1_000_000) - epoch_delta).isoformat()
elif fmt == "mac_absolute":
mac_epoch = datetime(2001, 1, 1)
return (mac_epoch + timedelta(seconds=value)).isoformat()
elif fmt == "mozilla":
return datetime.utcfromtimestamp(value / 1_000_000).isoformat()
except (OSError, ValueError, OverflowError):
return None
def generate_report(self):
"""Generate comprehensive forensic analysis report."""
report = {
"database": self.db_path,
"analysis_date": datetime.utcnow().isoformat(),
"header": self.parse_header(),
"tables": self.query_tables(),
"freelist": self.analyze_freelist(),
"wal": self.parse_wal(),
"findings": self.findings,
}
report_path = self.output_dir / "sqlite_forensics_report.json"
with open(report_path, "w") as f:
json.dump(report, f, indent=2, default=str)
print(json.dumps(report, indent=2, default=str))
return report
def main():
if len(sys.argv) < 2:
print("Usage: agent.py <database.db> [output_dir]")
sys.exit(1)
db_path = sys.argv[1]
output_dir = sys.argv[2] if len(sys.argv) > 2 else "./sqlite_forensics"
agent = SQLiteForensicsAgent(db_path, output_dir)
agent.generate_report()
if __name__ == "__main__":
main()