Security Scan Report: langkahwavestories-dp7i6dvoz1z0.edgeone.app

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Submitted: Jun 24, 2026, 8:42:35 AMCompleted: Jun 24, 2026, 8:43:44 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 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-exchange-rate-pounds-to-mexican-pesos.html

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk informational article; no malicious forms or indicators detected.

Risk Factors
Unknown sub‑domain age (could be newly created)
Domain not listed in Cisco Umbrella rankings (unranked)
High JavaScript obfuscation score (likely minified code)
Safety Factors
Page type is an article (og:type=article) with no credential collection
No external link matches to known malicious sites
No network IDS alerts or malicious traffic observed
Content appears to be informational about travel exchange rates
Domain age information unavailable

Details

Page Title

Understanding the Best Exchange Rate Pounds to Mexican Pesos for Your Travel Needs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(62%)

Domain Information

Within the application-focused generic top-level domain (.app), 'langkahwavestories-dp7i6dvoz1z0.edgeone.app' is registered; it also runs on subdomain 'langkahwavestories-dp7i6dvoz1z0'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. It segments into 2 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://langkahwavestories-dp7i6dvoz1z0.edgeone.app/best-exchange-rate-pounds-to-mexican-pesos.html

Page Load Overview

2.76s
Total Load Time
18
HTTP Requests
13
Domains
444 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:2,189 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism62% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
62%
blog personal website
57%
government public service
55%
finance banking
52%
documentation technical
45%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4101.33.10.10Frankfurt am Main, Hesse, Germany
23.167.227.35United States
AS16509Amazon.com, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2148.72.63.183Ashburn, Virginia, United States
AS398101GoDaddy.com, LLC
218.244.20.112United States
AS16509Amazon.com, Inc.
2146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
188--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189620B6B6BC051355BB201559481F1FC6D78981BE3828CF2BDAC7B64AB852CB04F9F54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jL6cm2X3VomvPYf85ZEQV+1oUDanE20BwLJqVoxcGe/oNjag4ooCFfprjVq:XXhnYf8zX+1rg0OwoNjag4n+Vs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15363:0MvpwBkUAIAWQzQu2IEJhk0qQ9MKSNiUERQBFjHAAWCBQgEgDgQRQEMA8FAqhocBCEWAAAQGhIA3MYERMAEAKSJIXLCDU4iT

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:1820000000007c7e
Perceptual Hash:c33cc33c9bac3cc1
Difference Hash:f1c901e1d9c9d0d8
Wavelet Hash:197d01013d217f7f
Color Hash:#6f931f

Scan History

Scan history not available

Unable to load historical scan data