Security Scan Report: www.alamoanacenter.com

Submitted: Nov 21, 2025, 9:58:40 AMCompleted: Nov 21, 2025, 10:00:30 AMpubliccompleted
Loading additional data...

Summary

This website contacted 224 IPs in 10 countries across 82 domains to perform 316 HTTP transactions. The main domain is alamoanacenter.com and was registered NaN years ago.

Submitted URL: https://www.alamoanacenter.com/en/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Official brand domain (alamoanacenter.com)
Long‑standing registration date (2001‑03‑20)
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Ala Moana Center - Shopping Mall in Honolulu, HI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.alamoanacenter.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Its registrable label 'alamoanacenter' stretches across 14 characters holding 7 vowels versus 7 consonants. It segments into 4 words: alamo, an, a, center. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.alamoanacenter.com/en/

Page Load Overview

4.99s
Total Load Time
316
HTTP Requests
82
Domains
8.7 MB
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
Text Length:9,834 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9344.198.203.132Ashburn, Virginia, United States
AS14618AMAZON-AES
3313.32.121.59New York, New York, United States
AS16509AMAZON-02
2523.216.77.65Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
25104.18.32.29United States
AS13335CLOUDFLARENET
1623.216.77.75Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
16146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
15104.18.86.42United States
AS13335CLOUDFLARENET
13216.58.206.40United States
AS15169GOOGLE
1037.252.172.123Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
952.222.236.31United States
AS16509AMAZON-02
316224--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1816595162D058DBA57CB9BE1613A7E06F12F1253D2C54E38BED58F2882EB5BC527310B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:y+9eeqHRj9eeqHR5NTQKei2aTLsxHwj3er2hY:y+9eeqHRj9eeqHRnaiNPsA3er2K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1471220:FBRGibUW34ChCQYgSIESFlFYAIFCUQVAgMCsxmKJMUwDIocFIAKFDCMVNpF5UTiAsSQSAOSkiCioBFJraj4hYwsMwBBTJSQi

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:ff600020500020ff
Perceptual Hash:c0d1a9c89c87be7a
Difference Hash:b292cccca5c5c997
Wavelet Hash:ff60207ed06060ff
Color Hash:#bf4095

Scan History

Scan history not available

Unable to load historical scan data