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Security Scan Report: divetarifahugo-pdab89y73r.edgeone.app

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Submitted: May 18, 2026, 1:12:24 PMCompleted: May 18, 2026, 1:13:47 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 15 HTTP transactions. The main domain is divetarifahugo-pdab89y73r.edgeone.app and was registered NaN years ago.

Submitted URL: https://divetarifahugo-pdab89y73r.edgeone.app/2053-chris-evans-finally-gave-ahumble-reply-to-lizzos-drunk-dm-to-him-on-instagram.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site; appears to be a benign article with no phishing or malware indicators.

Risk Factors
Unknown subdomain age (could be brand‑new)
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation score (moderate signal)
Safety Factors
No forms or credential collection
No Indicators of Compromise matched
No JavaScript malware patterns detected
Article page type (og:type=article) – normal news content
No network IDS alerts
Domain age information unavailable

Details

Page Title

Chris Evans Finally Gave aHumble Reply to Lizzos Drunk DM to Him on Instagram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the application-focused generic top-level domain (.app), 'divetarifahugo-pdab89y73r.edgeone.app' is registered; it also runs on subdomain 'divetarifahugo-pdab89y73r'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. It segments into two 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://divetarifahugo-pdab89y73r.edgeone.app/2053-chris-evans-finally-gave-ahumble-reply-to-lizzos-drunk-dm-to-him-on-instagram.html

Page Load Overview

12.97s
Total Load Time
19
HTTP Requests
12
Domains
103 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:2,503 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
social media network
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.108.68United States
AS7979Servers.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2142.250.154.94United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2188.114.96.3United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
198--

Detected Technologies3

Open-Graph-Protocolvarticle
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

T16852F927A5C2292C6BB3168A6C81FBFCB87DC43FE3454C9068D9772987C77DB6651048

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KDhnYf8zX+KCsoh1JKJxF8IVRpAYYrWag4MDoq2:0hnz+KCsohwNVRpbYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13385:JQIYQzAQNBFpwBJGAShLDJAoOMVQqIEk/CQBFkNBwwpg1A7ZJCVAjiJCCVguSQBAQyQowIkSEQukk0YlIGgi0ABlzAIRDggg

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:c3c78181c7ffffff
Perceptual Hash:bc38d3d3303873c3
Difference Hash:1e362b3f2e000004
Wavelet Hash:8383818100ffffe7
Color Hash:#c5bb87

Other Hashes

Crop Resistant:1e362b3f2e000004

Scan History

Scan history not available

Unable to load historical scan data