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Security Scan Report: cakrawaladailyspot-dp03tbwzeqah.edgeone.app

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Submitted: Jun 21, 2026, 6:04:34 AMCompleted: Jun 21, 2026, 6:05:43 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is cakrawaladailyspot-dp03tbwzeqah.edgeone.app and was registered NaN years ago.

Submitted URL: https://cakrawaladailyspot-dp03tbwzeqah.edgeone.app/amanda-shaw-san-diego.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 site appears to be a benign informational article with no phishing, malware, or credential‑harvesting indicators.

Risk Factors
High JavaScript obfuscation score (critical) – however no malicious behavior observed
Safety Factors
Absence of forms that collect credentials or payment data
No external IoC or IDS alerts
Content classified as an informational article about an AI engineer
Domain age information unavailable

Details

Page Title

Amanda Shaw and the Rise of AI Engineering in San Diego

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(81%)

Domain Information

Domain 'cakrawaladailyspot-dp03tbwzeqah.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'cakrawaladailyspot-dp03tbwzeqah'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Splitting it apart reveals 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://cakrawaladailyspot-dp03tbwzeqah.edgeone.app/amanda-shaw-san-diego.html

Page Load Overview

1.86s
Total Load Time
14
HTTP Requests
11
Domains
137 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:4,535 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
81%
education learning
73%
government public service
36%
corporate
35%
documentation technical
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.240.108.84United States
AS7979Servers.com, Inc.
2142.250.154.95United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
220.244.36.48Pune, Maharashtra, India
AS8075Microsoft Corporation
2172.240.127.244United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
146--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE721A67F68521186A710298E9C5F3FCB469C427E7028DE1B8DCB338A3853CFA975794

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KS9ihnYf8zX+oZ7qk+6oqxwTwf5GTR0jkQ0orWag4MVdC:T8hnz+ohLxwEf5GTR4xrWag4WQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16966:mkg5ExATbJIu/SCnBgBBAg2RAABGYgjrZhB4xJFJAF1aQAlSECQhIgeLYFEqBToKKQiIYZOAkGQRYgQgIkAiTbAABgQBAgQa

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:1000000000003c7e
Perceptual Hash:823dc36d923d923d
Difference Hash:f1c11961c5c1c1d4
Wavelet Hash:197901013d717d7f
Color Hash:#763a78

Other Hashes

Crop Resistant:000000108834370b,f1c11961c5c1c1d4

Scan History

Scan history not available

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