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Security Scan Report: mailjustifhugo-pgcsilb2wl.edgeone.app

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Submitted: May 19, 2026, 6:48:46 PMCompleted: May 19, 2026, 6:50:39 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 14 HTTP transactions. The main domain is mailjustifhugo-pgcsilb2wl.edgeone.app and was registered NaN years ago.

Submitted URL: https://mailjustifhugo-pgcsilb2wl.edgeone.app/16416-fashions-next-it-girls-to-look-out-for.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Low risk article page; no phishing or malware indicators detected.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking (455,732)
High JavaScript obfuscation score
Safety Factors
Page classified as an article (og:type="article")
No forms or credential collection
No malicious Indicators of Compromise or IDS alerts
Domain age information unavailable

Details

Page Title

Fashion's Next It-Girls to Look Out For

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(79%)

Domain Information

You're looking at domain 'mailjustifhugo-pgcsilb2wl.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'mailjustifhugo-pgcsilb2wl'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Breaking it apart gives 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://mailjustifhugo-pgcsilb2wl.edgeone.app/16416-fashions-next-it-girls-to-look-out-for.html

Page Load Overview

13.07s
Total Load Time
20
HTTP Requests
12
Domains
85 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:1,683 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
79%
social media network
74%
news media journalism
56%
blog personal website
51%
adult content
47%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.0.120United States
AS13335Cloudflare, Inc.
2142.250.154.94United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
AS139341ACE
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
274.125.29.95United States
AS15169Google LLC
207--

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

T19342E963F648613CA772D2F4B4D1B2BCBA29401AF74388F857E5E729C7C62D314A5788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jYhnYf8zX+Ke+RkJJKJyJ/c3FHCNpA+du1YYrWag4MDw:jYhnz+Ke+Rk3JU3FHapAIYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12394:CEhABQMDCvVEkoAhErihcCoeVASVgDInyQNWQgBooBLKoTSIQSBgRA4IwBJ0Nu2AeWckQICkUhKAgBuEBgLujSQBASQwQ+BQ

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:18202c20000000ff
Perceptual Hash:c343ed3c9c1c9c3c
Difference Hash:f2cfd0c032800000
Wavelet Hash:ff707e7e080000ff
Color Hash:#862d33

Other Hashes

Crop Resistant:0000000000000000,f2cad4c042100000

Scan History

Scan history not available

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