Security Scan Report: www.ornl.gov

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Submitted: Nov 21, 2025, 11:29:43 PMCompleted: Nov 21, 2025, 11:31:25 PMpubliccompleted
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Summary

This website contacted 76 IPs in 3 countries across 15 domains to perform 66 HTTP transactions. The main domain is ornl.gov and was registered NaN years ago.

Submitted URL: https://www.ornl.gov/staff-profile/robert-m-wagner

The Cisco Umbrella rank of the primary domain is #145,233 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate staff profile page on a well‑established government domain.

Safety Factors
Established .gov domain with long registration history
No suspicious external links or redirects
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Robert M Wagner | ORNL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.ornl.gov' is registered; it also runs on subdomain 'www'. Its registrable label 'ornl' stretches across 4 characters holding one vowel versus three consonants. Tokenizing the label suggests 2 words: or, nl. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ornl.gov/staff-profile/robert-m-wagner

Page Load Overview

0.57s
Total Load Time
66
HTTP Requests
15
Domains
1.7 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
Text Length:10,931 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
28%

Detected Features

OG: scientific discovery

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
66104.17.25.14United States
AS13335CLOUDFLARENET
2323.185.0.4United States
AS54113FASTLY
11142.250.186.99United States
AS15169GOOGLE
652.59.169.178Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5216.58.212.136United States
AS15169GOOGLE
4142.250.185.74United States
AS15169GOOGLE
3216.239.32.36United States
AS15169GOOGLE
3172.66.171.172United States
AS13335CLOUDFLARENET
3104.17.24.14United States
AS13335CLOUDFLARENET
2142.250.185.142United States
AS15169GOOGLE
6676--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B432A7386E42036015742A27A617A1EAE73D44BF64B4949B2EC17586FC3EA1DE3331F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gPhWXUFy5o4kW3MgIngppmx2shPq1XL6rRXn6REa2SBtrAv3HAJtArEpAwcfp:qhWgPq1XbtsPgJSrE2wK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59237:kokSTshBOQELR0jzqUAkbEMiEYWqBBBAJawVJBkKcKhEmQIg4C1qlLigBTQBIYZiTTWGxAUgYCUVYr2Rg/4CFg6QplODCNyk

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:3981818181ffffff
Perceptual Hash:bd6994961f47c138
Difference Hash:631b130b3b2c2e3b
Wavelet Hash:0081818181ffffff
Color Hash:#bfb540

Scan History

Scan history not available

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