Security Scan Report: lbnf-dune.fnal.gov

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Submitted: Mar 1, 2026, 1:16:55 AMCompleted: Mar 1, 2026, 1:18:38 AMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 14 domains to perform 1 HTTP transaction. The main domain is lbnf-dune.fnal.gov and was registered NaN years ago.

Submitted URL: https://lbnf-dune.fnal.gov/

The Cisco Umbrella rank of the primary domain is #210,662 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate informational site about the DUNE experiment with no security concerns.

Safety Factors
Well‑established domain (over 28 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

DUNE at LBNF

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(67%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'lbnf-dune.fnal.gov' is registered with subdomain 'lbnf-dune'. Count 4 characters in 'fnal' split between one vowel and three consonants. It segments into two words: f, nal. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lbnf-dune.fnal.gov/

Page Load Overview

9.73s
Total Load Time
133
HTTP Requests
15
Domains
6.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:7,542 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network67% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
67%
government
48%
documentation technical
29%

Detected Features

Search
OG: Website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16131.225.105.28Aurora, Illinois, United States
AS3152Fermi National Accelerator Laboratory Fermilab
9131.225.105.39Aurora, Illinois, United States
AS3152Fermi National Accelerator Laboratory Fermilab
9142.250.186.78United States
AS15169Google LLC
9104.18.0.22United States
AS13335Cloudflare, Inc.
9172.217.20.138United States
AS15169Google LLC
9104.21.27.152United StatesUnknown
9104.18.11.207United States
AS13335Cloudflare, Inc.
9131.225.105.114Aurora, Illinois, United States
AS3152Fermi National Accelerator Laboratory Fermilab
9142.251.208.14United States
AS15169Google LLC
9142.251.141.67United States
AS15169Google LLC
13314--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D64453722619243F57B7D3C060E417BC722B87428A4585ADB3FE1254E78DF6D08BBA8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Tk6vFvPvUv4vEvovHvqv7vDvovG5vO8F8P8U848E8o8H8q878D8o8G58lHhd76zH:JhddpiSrJgLWyFXNNJHoDyMoj95ljB/F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:254645:JItDggUjqgAAJAEqzIJ8eMGEwiMSogqLECpPnSBQGEgKcEIRMykQia0wIgghLgANAFabQkWYQggAlgwZV0AFEB4SVBAH+9CA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:7e0018000000ffff
Perceptual Hash:cc0cb363e7b90387
Difference Hash:f4b4b2f3e1c19337
Wavelet Hash:ff1818183000ffff
Color Hash:#1f9352

Scan History

Scan history not available

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