Security Scan Report: mailsysmailfavefave-2p2y552xb5.edgeone.app

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Submitted: May 22, 2026, 12:15:44 AMCompleted: May 22, 2026, 12:17:34 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is mailsysmailfavefave-2p2y552xb5.edgeone.app and was registered NaN years ago.

Submitted URL: https://mailsysmailfavefave-2p2y552xb5.edgeone.app/16357-salma-hayek-looks-gloriously-stunning-in-figure-hugging-designer-gown-at-star-studded-event.html

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site is high risk due to a malicious external link, unknown subdomain age, low reputation, and heavily obfuscated JavaScript, indicating possible malware distribution.

Risk Factors
External malicious link (Indicators of Compromise)
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation
Presence of multiple third‑party tracking domains
Domain age information unavailable

Details

Page Title

Salma Hayek looks 'gloriously stunning' in figure-hugging designer gown at star-studded event

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(58%)

Domain Information

The domain 'mailsysmailfavefave-2p2y552xb5.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'mailsysmailfavefave-2p2y552xb5'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mailsysmailfavefave-2p2y552xb5.edgeone.app/16357-salma-hayek-looks-gloriously-stunning-in-figure-hugging-designer-gown-at-star-studded-event.html

Page Load Overview

37.62s
Total Load Time
19
HTTP Requests
14
Domains
31 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:3,297 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
58%
corporate
35%
entertainment media
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2142.251.14.94United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
198--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9623B67EA80003C5BA30254F0D6B77CB969C837F79588F8A4DCF7291BC66D76836648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMDhnYf8zX+AL95oaJ/cDuB1eLp3LaY5mag4gDw:bQDhnz+AL95oaJUDuB0LduY5mag48w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14964:1DCYkAAyQLqJBQgtJMVuQYbIeEAECCgSZgyYhGDCEDEnEAUCtBAIFgC0YwAsigEbBChA1xICFqjhkCEBZIhkNwoQSkCK3aIs

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:00c7c3c3c3ffffff
Perceptual Hash:b438cb9b6447434f
Difference Hash:17161616161e0002
Wavelet Hash:00c3c2c2c2cefefe
Color Hash:#2d35d2

Other Hashes

Crop Resistant:17161616161e0002

Scan History

Scan history not available

Unable to load historical scan data