Security Scan Report: elizabeth-utottt-cv3bx3baxd.edgeone.app

Submitted: Feb 14, 2026, 1:08:19 AMCompleted: Feb 14, 2026, 1:09:52 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is elizabeth-utottt-cv3bx3baxd.edgeone.app and was registered NaN years ago.

Submitted URL: https://elizabeth-utottt-cv3bx3baxd.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate but is currently unreachable.

Safety Factors
Well‑established domain (>2.5 years)
No malicious Indicators of Compromise
No credential or payment collection forms
No detected malware or phishing indicators
Site currently unreachable, showing a standard error page
Domain age information unavailable

Details

Page Title

elizabeth-utottt-cv3bx3baxd.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

The domain name 'elizabeth-utottt-cv3bx3baxd.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'elizabeth-utottt-cv3bx3baxd'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elizabeth-utottt-cv3bx3baxd.edgeone.app/

Page Load Overview

8.10s
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:813 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
48%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17C048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszc2bMy8Olda:IhoC9JSqzzbs6o3Sj3gcrso2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184586:W0cRABnUBCARnEogt2tGEBYUCoAgBoMQE1uKAAVhgpEJBI+Mi4omAGvIIAYFBCSABKKAgwUDBLiKCwYyqAlFopGRkWLTBTAs

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc673363
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#3a7870

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data