Security Scan Report: langkahwavestories-dp7i6dvoz1z0.edgeone.app

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Submitted: Jun 18, 2026, 9:33:05 AMCompleted: Jun 18, 2026, 9:34:15 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is langkahwavestories-dp7i6dvoz1z0.edgeone.app and was registered NaN years ago.

Submitted URL: https://langkahwavestories-dp7i6dvoz1z0.edgeone.app/best-place-to-buy-mexican-peso.html

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

AI Security Verdict

Low Risk

Confidence: 58%

2
Risk Score

The site appears to be a benign informational article with no forms or malicious indicators; low risk despite unknown sub‑domain age and low ranking.

Risk Factors
Unknown sub‑domain creation date (could be brand‑new)
Low domain ranking in Cisco Umbrella
Safety Factors
Content is an informational article (og:type=article)
No credential exfiltration or cross‑origin form submissions
JavaScript obfuscation score high but attributed to normal minification
No network IDS alerts or malware kit matches
Domain age information unavailable

Details

Page Title

Where to Exchange USD for Mexican Pesos Without Losing Your Shirt

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'langkahwavestories-dp7i6dvoz1z0.edgeone.app' is registered with subdomain 'langkahwavestories-dp7i6dvoz1z0'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals 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://langkahwavestories-dp7i6dvoz1z0.edgeone.app/best-place-to-buy-mexican-peso.html

Page Load Overview

1.80s
Total Load Time
18
HTTP Requests
13
Domains
445 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:5,408 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
70%
travel tourism
68%
news media journalism
67%
blog personal website
64%
corporate business
63%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43.167.227.35United States
AS16509Amazon.com, Inc.
218.244.20.112United States
AS16509Amazon.com, Inc.
2148.72.63.183Ashburn, Virginia, United States
AS398101GoDaddy.com, LLC
274.125.29.95United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
2146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
243.152.26.58Singapore
2104.21.0.120United States
AS13335Cloudflare, Inc.
188--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A821A27AAC1513566A20145E582F2FCFA3CD41ED342CDF2B8ACA7B897857CB01F6A44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XzhnYf8zX+W8JOGjCR1j0enowoNjag4n+hp:Xzhnz+W8JAR1po9Njag4+b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18615:SQBGCYYIbCEMAgQKmfAiANypgALBSIQAEABC/QkK0MPFEoY1AKZQVCDQo4BAG7iIkaXIAgVOCBEBjzAsUUhCGAQKGjKjRAAU

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:ff79010139717d7d
Perceptual Hash:ca39c1cd9c9c3c3c
Difference Hash:f1d115c1d1c1c5c9
Wavelet Hash:dd79010139317d7d
Color Hash:#d2799a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data