Forensic File Timeline
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from kittysploit import *
import json
import os
from datetime import datetime, timezone
class Module(Analysis):
__info__ = {
"name": "Forensic File Timeline",
"author": ["KittySploit Team"],
"description": "Creates a sorted filesystem timeline from MAC timestamps for local evidence triage.",
"tags": ["forensic", "dfir", "timeline", "filesystem", "evidence"],
}
path = OptString("", "File or directory to timeline", required=True)
recursive = OptBool(True, "Recurse into subdirectories", required=False)
include_dirs = OptBool(False, "Include directory entries", required=False)
max_entries = OptInteger(10000, "Maximum filesystem entries to process", required=False, advanced=True)
output_file = OptString("", "Optional JSON output file", required=False)
def _iso_time(self, timestamp):
return datetime.fromtimestamp(timestamp, timezone.utc).isoformat()
def _iter_paths(self, root):
if os.path.isfile(root) or (self.include_dirs and os.path.isdir(root)):
yield root
if not os.path.isdir(root):
return
if self.recursive:
for base, dirs, files in os.walk(root):
names = files + (dirs if self.include_dirs else [])
for name in sorted(names):
yield os.path.join(base, name)
else:
for name in sorted(os.listdir(root)):
candidate = os.path.join(root, name)
if os.path.isfile(candidate) or (self.include_dirs and os.path.isdir(candidate)):
yield candidate
def check(self):
root = os.path.abspath(str(self.path or "").strip())
if not root:
print_error("path option is required")
return False
if not os.path.exists(root):
print_error(f"Path not found: {root}")
return False
return True
def run(self):
root = os.path.abspath(str(self.path or "").strip())
try:
limit = max(1, int(self.max_entries))
except Exception:
limit = 10000
print_info(f"Building timeline for: {root}")
events = []
errors = []
for idx, item in enumerate(self._iter_paths(root)):
if idx >= limit:
print_warning(f"Reached max_entries limit ({limit}); stopping timeline")
break
try:
stat = os.stat(item)
rel = os.path.relpath(item, root if os.path.isdir(root) else os.path.dirname(root))
kind = "directory" if os.path.isdir(item) else "file"
for event_type, timestamp in (("modified", stat.st_mtime), ("changed", stat.st_ctime), ("accessed", stat.st_atime)):
events.append({
"timestamp": self._iso_time(timestamp),
"event": event_type,
"path": item,
"relative_path": rel,
"type": kind,
"size": stat.st_size,
})
except Exception as exc:
errors.append({"path": item, "error": str(exc)})
events.sort(key=lambda row: row["timestamp"])
data = {
"root": root,
"event_count": len(events),
"error_count": len(errors),
"events": events,
"errors": errors,
}
print_success(f"Timeline complete: events={len(events)} errors={len(errors)}")
if events:
print_info(f"First event: {events[0]['timestamp']} {events[0]['event']} {events[0]['relative_path']}")
print_info(f"Last event: {events[-1]['timestamp']} {events[-1]['event']} {events[-1]['relative_path']}")
if self.output_file:
try:
with open(str(self.output_file), "w") as fp:
json.dump(data, fp, indent=2)
print_success(f"Results saved to {self.output_file}")
except Exception as exc:
print_error(f"Failed to save output: {exc}")
return data
def get_graph_nodes(self, data):
if not isinstance(data, dict):
return [], []
root = "forensic_timeline"
nodes = [{"id": root, "label": "Forensic Timeline", "group": "event", "icon": "clock"}]
edges = []
seen = set()
for row in data.get("events", [])[:80]:
label = row.get("relative_path", "file")
if label in seen:
continue
seen.add(label)
node_id = f"timeline_{len(seen)}"
nodes.append({"id": node_id, "label": os.path.basename(label), "group": "file", "icon": "file"})
edges.append({"from": root, "to": node_id, "label": row.get("event", "")})
return nodes, edges
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29 Jun 2026 20:47Current
5.8Medium risk
Vulners AI Score5.8