Security Scan Report: mnwaleedhhugo-x9bon5obzd.edgeone.app

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Submitted: May 20, 2026, 9:24:37 PMCompleted: May 20, 2026, 9:26:06 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 15 HTTP transactions. The main domain is mnwaleedhhugo-x9bon5obzd.edgeone.app and was registered NaN years ago.

Submitted URL: https://mnwaleedhhugo-x9bon5obzd.edgeone.app/24054-tesla-recalls-16m-cars-in-china-over-autopilot-and-steering-defects-tesla.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The page appears to be a news article about Tesla with no phishing or malware indicators; low risk despite a low‑ranked, newly created subdomain.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Subdomain on a hosting platform with unknown creation date
High JavaScript obfuscation score (77/100) despite no malicious patterns
Safety Factors
Absence of credential or payment forms
Meta tags and Open Graph data indicate an article, not brand impersonation
No malicious Indicators of Compromise or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Tesla recalls 1.6m cars in China over Autopilot and steering defects | Tesla

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(74%)

Domain Information

Domain 'mnwaleedhhugo-x9bon5obzd.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'mnwaleedhhugo-x9bon5obzd'. Count 7 characters in 'edgeone' with 4 vowels and 3 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://mnwaleedhhugo-x9bon5obzd.edgeone.app/24054-tesla-recalls-16m-cars-in-china-over-autopilot-and-steering-defects-tesla.html

Page Load Overview

20.14s
Total Load Time
20
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:3,297 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
74%
adult content
68%
documentation technical
65%
corporate business
58%
government public service
55%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.152.26.58Singapore
2192.178.183.95United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12062E827B541112C6B6513CAA4A0B3FDF57DC51BE3538CA0E8D4B72A8FC66DB093934A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ChnYf8zX+yxJKJVJ/cZ8eKOAelSa3m3DYYrWag4MDw:Chnz+yCJU542NM0YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14876:YEpYAhBeaIECmCGEDCDgybIPPGBBCQIQJYgBoRaA4CkHsVCYlSgBEFxAArNQQCHK6DAQ/MIMnMGUoiQAIFgDBzBBCFlDhJNg

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:3000243c200000ff
Perceptual Hash:c343ed6dc646ac16
Difference Hash:60c3c8c0c0138000
Wavelet Hash:7c307e7e7c0000ff
Color Hash:#783a70

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data