github.com / facebookresearch
facebookresearch/
Jupyter Notebook·59 files·commit dca509f·scanned 4d ago·cached ✓
0/100
SAFE
No malicious patterns found. Repo signals are consistent with a legitimate project.
verdict accurate?
55,057 stars
threat-state: safelive
FINDINGS ░▒▓
CLEAN
No malicious patterns found across 36/59 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.
36 files scanned @ dca509f | 10/25/2026 | heuristic scan — always review manually
risk by category
code execution0
network & exfiltration0
file system access0
obfuscation0
supply chain0
owasp / injection0
telemetry
files 36/59rules hit 0engine v7commit dca509f
github
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
55057
6394
1316d
59 files
36 scanned(61%)
dca509f
architecture░▒▓
entry (0) flagged (0) pkg (35)
68 nodes · 120 edgesscroll to zoom · click node to jump to finding