Security Scan Report: altairaquahugo-67wm57d2dn.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://altairaquahugo-67wm57d2dn.edgeone.app/1144-brebner-high-school-classmates-pour-their-hearts-out-at-machaka-radebes-memorial-in-tiktok-video.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

The site appears to be a low‑risk article page; no phishing, malware, or credential collection observed.

Risk Factors (3)
Unknown subdomain age
Low Cisco Umbrella ranking
High JavaScript obfuscation (moderate signal)
Safety Factors (5)
Page type is an article (og:type=article)
No forms or credential handling
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Brebner High School Classmates Pour Their Hearts Out at Machaka Radebes Memorial in TikTok Video

Scan Type

public

Domain Name Analysis

The domain 'altairaquahugo-67wm57d2dn.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'altairaquahugo-67wm57d2dn'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Tokenizing the label suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://altairaquahugo-67wm57d2dn.edgeone.app/1144-brebner-high-school-classmates-pour-their-hearts-out-at-machaka-radebes-memorial-in-tiktok-video.html

Page Load Overview

13.17s
Total Load Time
145 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:3,499 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
40%
corporate
35%
news media journalism
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.0.120United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A621A3FF180212C6A32415575C2F6FC396DC447D3168EB06CEAB72A93C51D7C87A68A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KOhnYf8zX+RGJKJJJ/ck89V1oa+aNoWrTYYrWag4MDw:Xhnz+RNJUXwaHdEYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15115:grBYBBCGGQi2VUhKQgBNILRkhIUbkysYGACpgSMhkgxEm0GUhCdUiYCAgAJCARGixwDiWiByjA5hsBggDLMULC4oBIQBm9Do

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:c39fc38183c3ffff
Perceptual Hash:bc38d3323c62f1c3
Difference Hash:1f3613272f2f0012
Wavelet Hash:c38381818183ffff
Color Hash:#53ac72

Other Hashes

Crop Resistant:1f3613272f2f0012

Scan History

Scan history not available

Unable to load historical scan data