Security Scan Report: modelmathgurufave-p2mghysenw.edgeone.app

Submitted: May 21, 2026, 6:16:22 PMCompleted: May 21, 2026, 6:19:00 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is modelmathgurufave-p2mghysenw.edgeone.app and was registered NaN years ago.

Submitted URL: https://modelmathgurufave-p2mghysenw.edgeone.app/14381-license-to-kill-season-2-meet-ny-killer-doctor-whose-botched-surgeries-killed-a-patient-injure.html

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

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The site is high‑risk due to a malicious external link and unknown subdomain age, with no credential collection but notable suspicious indicators.

Risk Factors
External malicious domain reference
Unknown subdomain age on hosting platform
Low domain reputation (Umbrella rank > 100k)
High JS obfuscation score
Domain age information unavailable

Details

Page Title

'License to Kill' Season 2: Meet NY 'killer doctor' whose botched surgeries killed a patient, injure

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'modelmathgurufave-p2mghysenw.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'modelmathgurufave-p2mghysenw'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://modelmathgurufave-p2mghysenw.edgeone.app/14381-license-to-kill-season-2-meet-ny-killer-doctor-whose-botched-surgeries-killed-a-patient-injure.html

Page Load Overview

90.12s
Total Load Time
17
HTTP Requests
12
Domains
32 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:6,100 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.240.108.84United States
AS7979Servers.com, Inc.
1172.240.127.244United States
AS7979Servers.com, Inc.
1142.251.20.94United States
AS15169Google LLC
1101.33.10.10Frankfurt am Main, Hesse, Germany
1104.20.8.223United States
AS13335Cloudflare, Inc.
1104.20.23.96United States
AS13335Cloudflare, Inc.
1192.178.170.95United States
AS15169Google LLC
1104.18.10.207United States
AS13335Cloudflare, Inc.
1172.67.150.240United States
AS13335Cloudflare, Inc.
179--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136821B77FE8113285B221394D18973BCBB19C029E3418DA4B4BDA33D3FCA5DB8676654

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMHhnYf8zX+E75lY9J/cUBwR/9hoRZ+y+5WM8nGvaY5mag4gDw:bQHhnz+wgJUUBQlhI+y+oMcY5mag48w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17813:SBplHTCaAhQChQUilrYiCITLQWQEqgkxAFAAAIgKEDA5GAIKAF63CYEwHQgzhEFZwASc0RADQJA0y3JgMAQgBworRCxtYpAI

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:c3cfc3c3c3c3c3ff
Perceptual Hash:b51b8b29ce2ccb0e
Difference Hash:0f1e1e1616161636
Wavelet Hash:81c3c3c3c2c2c3df
Color Hash:#d2512d

Other Hashes

Crop Resistant:0f1e1e1616161636

Scan History

Scan history not available

Unable to load historical scan data