Security Scan Report: adkstaghugo-686rfvbmiq.edgeone.app

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Submitted: May 20, 2026, 11:23:14 AMCompleted: May 20, 2026, 11:24:40 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is adkstaghugo-686rfvbmiq.edgeone.app and was registered NaN years ago.

Submitted URL: https://adkstaghugo-686rfvbmiq.edgeone.app/15848-chinese-manufacturers-in-mexico-tread-on-thin-ice-amid-threat-of-more-us-barriers.html

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site appears to be a low‑risk informational article; no phishing or malware indicators were found, though the subdomain is newly created and unranked.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation score (potentially suspicious code style)
Safety Factors
Page type is article (og:type=article) – informational content
No credential or payment forms present
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Chinese manufacturers in Mexico tread on thin ice amid threat of more US barriers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'adkstaghugo-686rfvbmiq.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'adkstaghugo-686rfvbmiq'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Breaking it apart gives 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://adkstaghugo-686rfvbmiq.edgeone.app/15848-chinese-manufacturers-in-mexico-tread-on-thin-ice-amid-threat-of-more-us-barriers.html

Page Load Overview

18.84s
Total Load Time
20
HTTP Requests
13
Domains
35 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:12,308 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
6104.18.10.207United States
AS13335Cloudflare, Inc.
2104.20.8.223United States
AS13335Cloudflare, Inc.
2142.251.13.94United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
208--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11CB22823B942027D631302817287B6FDF7B8483DD3528562A4EDA3355BC2CDB567B6E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:znxqBxhnYf8zX+CAJKJbJ/cXJ9ol23F5ss0Iczz6j2MrJCoSLDGGPHnLk48kYrWY:zQxhnz+CxJUXJ9ol2b0IENpoQDtPH5YN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24056:BCiXFsuSgQIYhg8CE5iICPUAcYySCkDjdIQCDGRzKUrIgQATMQINQlURyFBNISxBQAxCVMwWDChQPikGNAMNMFxXBDVwgxHi

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:0000003c3c3c00ff
Perceptual Hash:8a2cfd0add0afc2a
Difference Hash:7149616969696969
Wavelet Hash:0121013d3d3d3dff
Color Hash:#d2be79

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data