Security Scan Report: code.ornl.gov

Redirected to:
https://code.ornl.gov/users/sign_in
Site favicon
Submitted: Sep 27, 2026, 10:32:46 AMCompleted: Sep 27, 2026, 10:33:23 AMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 48 HTTP transactions. The main domain is code.ornl.gov and was registered 29 years ago.

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

Effective URL:

https://code.ornl.gov/users/sign_in
Redirected

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 ORNL GitLab sign-in page on the official ornl.gov domain. No forms, no credential harvesting, no threat-intel hits; SSO buttons only. Safe.

Safety Factors (5)
Established government/education domain (29 years old, ornl.gov)
Self-branding consistent with the domain (ORNL/ITSD Gitlab Server)
Authentication handled via federated SSO (AzureAD, YubiKey, OneID) rather than credential capture
No credential or payment form fields present
Contact address [email protected] matches the hosting domain
Domain age information unavailable

Details

Page Title

Sign in · GitLab

Scan Type

public

Domain Name Analysis

The domain name 'code.ornl.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'code'. Its registrable label 'ornl' stretches across 4 characters containing one vowel alongside three consonants. Segmentation suggests 2 words: or, nl. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.75s
Total Load Time
2.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,150 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

forum community discussion
73%
technology software
52%
government
48%

Detected Features

OG: object

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4840.121.118.25Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
481--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BD20912F058483F02B375E178D766051B92A50AF65094F6ABF9CB1C2FEDF50A42F92E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:xjiSlwNgVnWP//Gp3hOekjngX60vHJQhNe8eve5emese7eaeiev:xU2nWPnGpROekjnj0vHGNe8eve5emesv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28841:FvAVABMDCCpAhEYYJkGgBA1IOpjTIUrgEdYiAKyKBGeEQwACgALBCClg6UDBAAyliVFEEDQlBCq2AyWm5/BEgAyMeAoCRBga

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:ffc3c3cfcfffffcf
Perceptual Hash:b838c6c69393c7c6
Difference Hash:003616181800001a
Wavelet Hash:3f03030f0f3fff00
Color Hash:#93861f

Other Hashes

Crop Resistant:003616181800001a

Scan History

Scan history not available

Unable to load historical scan data