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Security Scan Report: www.ornl.gov

Submitted: Oct 19, 2025, 12:36:27 AMCompleted: Oct 19, 2025, 12:39:33 AMpubliccompleted
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Summary

This website contacted 83 IPs in 3 countries across 15 domains to perform 103 HTTP transactions. The main domain is ornl.gov and was registered NaN years ago.

Submitted URL: https://www.ornl.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate Oak Ridge National Laboratory government website with no security concerns.

Safety Factors
Established government domain with long registration history
Absence of malicious Indicators of Compromise
Only standard search form present
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

Oak Ridge National Laboratory: Big Science. Big Impact. | ORNL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'www.ornl.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The second-level label 'ornl' is 4 characters long split between one vowel and 3 consonants. Breaking it apart gives two words: or, nl. The median word length lands at 2 characters. 'or' most strongly signals Chinese (Zhuyin). Usage also turns up in Dutch and Swedish contexts. Overall, 'www.ornl.gov' reads as Chinese (Zhuyin).

Screenshot

Security scan screenshot of https://www.ornl.gov/

Page Load Overview

6.71s
Total Load Time
103
HTTP Requests
15
Domains
15.5 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:4,979 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4623.185.0.4United States
AS54113FASTLY
21188.114.97.3United States
AS13335CLOUDFLARENET
16172.217.18.3United States
AS15169GOOGLE
1235.156.125.125Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5142.250.185.200United States
AS15169GOOGLE
4142.250.186.74United States
AS15169GOOGLE
499.84.152.92United States
AS16509AMAZON-02
3104.17.24.14United States
AS13335CLOUDFLARENET
3216.239.32.36United States
AS15169GOOGLE
3104.20.20.192United States
AS13335CLOUDFLARENET
10383--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D453B621A1E42427408742E266B46A1EBF93DD4BDB0B5948F3FD0B999FC3E91CD2721D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:knhpvkoq5o4kW3MgIngppmxxRL6rRXn6REa2SurAv3HAJtArEpAIcnn:chpT4sPgJSrE2IQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63987:tABmRpDBIAwlxIUsBAAiFR8BCgaoTLBCBDgQkAMFQwFACkGYojUMIwg4wEFDyFYgQow8lqBYCGoQ7Kxig0EaKI4JGYiCRChc

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:00808c808000ffff
Perceptual Hash:fe14eb35ea951a80
Difference Hash:a1213025253c2123
Wavelet Hash:c080dc80c0dcffff
Color Hash:#6ce0a4

Other Hashes

Crop Resistant:a1213025253c2123,4c4de9b2a7cb8669,1b3e3870c0840912,a121343044242074,33bdbcf65291999a

Scan History

Scan history not available

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