github.com / Tisha-runwal
Tisha-runwal/
Python·95 files·commit cb75fc8·scanned 3h ago·cached ✓
0/100
SAFE
No malicious patterns found. Repo signals are consistent with a legitimate project.
verdict accurate?
threat-state: safelive
FINDINGS ░▒▓
CLEAN
No malicious patterns found across 67/95 content-scanned files.
Static analysis only — treat as “nothing found”, not a guarantee.
Static analysis only — treat as “nothing found”, not a guarantee.
Scores are heuristics. A “safe” verdict means no known-malicious patterns were found — clever malware can look boring. Wrong verdict? Flag it above; confirmed false positives become regression tests.
67 files scanned @ cb75fc8 | 10/30/2026 | heuristic scan — always review manually
risk by category
code execution0
network & exfiltration0
file system access0
obfuscation0
supply chain0
owasp / injection0
telemetry
files 67/95rules hit 0engine v10commit cb75fc8
github
Tisha-runwal/Personalized-Federated-Learning-for-Privacy--Preserving-and-Scalable-IoT-Driven-Smart-Healthcare
A Personalized Federated Learning (PFL-HCare) framework for IoT healthcare. Features MAML meta-learning, Differential Privacy (RDP), and gradient quantization for efficiency. Includes a React/FastAPI dashboard for real-time monitoring.
266
3
209d
95 files
67 scanned(71%)
cb75fc8
network indicators░▒▓
Hosts this code names or would connect to. 3 found, decoded and call-site destinations first. Informational, not scored.
- https://archive.ics.uci.edu/ml/machine-learning-databases/00240/UCI%20HAR%20Dataset.zipurlscripts/download_data.py:4
- https://archive.ics.uci.edu/ml/machine-learning-databases/heart-disease/processed.cleveland.dataurlscripts/download_data.py:5
- har.zipdomainscripts/download_data.py:13
architecture░▒▓
entry (1) flagged (0) pkg (70)
133 nodes · 227 edgesscroll to zoom · click node to jump to finding