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Security Scan Report: adkstaghugo-686rfvbmiq.edgeone.app

Submitted: May 20, 2026, 7:03:51 PMCompleted: May 20, 2026, 7:06:29 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is adkstaghugo-686rfvbmiq.edgeone.app and was registered NaN years ago.

Submitted URL: https://adkstaghugo-686rfvbmiq.edgeone.app/12795-gigi-hadid-shows-off-her-moles-in-a-bikini-photo.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site appears to be a low‑risk article page with no malicious indicators, though the subdomain is newly created and low‑ranked.

Risk Factors
Unknown subdomain creation date (potentially brand‑new)
Low Cisco Umbrella ranking (455,732) for a domain claiming a celebrity name
Safety Factors
No forms or credential collection
No malicious Indicators of Compromise or IDS alerts
JavaScript obfuscation likely due to minification, not malware
Domain age information unavailable

Details

Page Title

Gigi Hadid Shows Off Her Moles in a Bikini Photo

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Domain 'adkstaghugo-686rfvbmiq.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'adkstaghugo-686rfvbmiq'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Tokenizing the label suggests 2 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://adkstaghugo-686rfvbmiq.edgeone.app/12795-gigi-hadid-shows-off-her-moles-in-a-bikini-photo.html

Page Load Overview

90.13s
Total Load Time
19
HTTP Requests
13
Domains
30 KB
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-US
Text Length:525 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
adult content
34%
government public service
27%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.18.11.207United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.217.208.95United States
AS15169Google LLC
2172.240.108.68United States
AS7979Servers.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
198--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E32D833E8C1582CAB2611A5B4D1B3BC7EAD481BD783C8FCB5B9AB2D4B872C74871504

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Pbi69FgkqBW3VomvPYf85ZEQV+v0joQaspJKJbJ/c7YFdIXxL1u8kYrWag4ofCvP:znxqBWhnYf8zX+8RJKJbJ/cPJu8kYrWY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11847:GGjE14IBwAASCkuCSN2gGowoIC4EAYGENJVVEGDhBACY2AlWgGDd7CIAJQKocQASwBigG5kijBFAiSuFk4ALLhQ0FpH6EDUA

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:18000000000000ff
Perceptual Hash:8a4fcd189d1a9b3a
Difference Hash:7161694105410100
Wavelet Hash:7f797d31010101ff
Color Hash:#d27984

Other Hashes

Crop Resistant:7161694105410100,7161616101010101

Scan History

Scan history not available

Unable to load historical scan data