Security Scan Report: studious-fortnight-xrvqvgvqppr2pp67-5173.app.github.dev

Submitted: Feb 4, 2026, 3:22:04 AMCompleted: Feb 4, 2026, 3:23:26 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is studious-fortnight-xrvqvgvqppr2pp67-5173.app.github.dev and was registered NaN years ago.

Submitted URL: https://studious-fortnight-xrvqvgvqppr2pp67-5173.app.github.dev

The Cisco Umbrella rank of the primary domain is #92,084 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>7 years old)
High Cisco Umbrella rank (top 100k)
Hosted on standard GitHub Pages infrastructure
No malicious Indicators of Compromise
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

studious-fortnight-xrvqvgvqppr2pp67-5173.app.github.dev

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(58%)

Domain Information

You're looking at domain 'studious-fortnight-xrvqvgvqppr2pp67-5173.app.github.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'studious-fortnight-xrvqvgvqppr2pp67-5173.app'. The registrable portion 'github' spans 6 characters holding 2 vowels versus 4 consonants. Word splitting yields three words: g, it, hub. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://studious-fortnight-xrvqvgvqppr2pp67-5173.app.github.dev

Page Load Overview

4.36s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:372 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism58% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
58%
healthcare medical
56%
technology software
56%
adult content
55%
government public service
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
120.103.221.187Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
11--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:EfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszg2bMy8Oldo:3hoC9JSqzzbs6o3Sj3gcrsE2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184945:EFL84UPA1gfhaFAc0IoJkEyppMBRQAQAAFnuMtGQCRIC2ELAAvBGQIlhBEwKMYNviABQAYBkRiCGEMeLiO0l5BEgHrAVGSmZ

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:ffc7c3c3f3ffffff
Perceptual Hash:e4339acccc333366
Difference Hash:00140c1606000000
Wavelet Hash:3f1f0303030f0f0f
Color Hash:#bf9040

Other Hashes

Crop Resistant:00140c1606000000

Scan History

Scan history not available

Unable to load historical scan data