Security Scan Report: www.we-apec.com

Submitted: Oct 29, 2025, 7:32:18 AMCompleted: Oct 29, 2025, 7:33:36 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 3 domains to perform 42 HTTP transactions. The main domain is we-apec.com and was registered NaN years ago.

Submitted URL: https://www.we-apec.com/about-apec/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well-established domain (>10 years old)
No malicious Indicators of Compromise
No forms collecting sensitive data
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

About APEC - WE APEC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(70%)

Domain Information

You're looking at domain 'www.we-apec.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 7 characters in 'we-apec' split between three vowels and three consonants; bonus characters include 1 hyphen. Splitting it apart reveals 2 words: we, apec. Average segment length settles at 3 characters. 'we' most strongly signals Dutch. You will also see it in Chinese (Pinyin) and English contexts.

Screenshot

Security scan screenshot of https://www.we-apec.com/about-apec/

Page Load Overview

49.15s
Total Load Time
42
HTTP Requests
3
Domains
548 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:1,977 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion70% confidence
Type: spa
Method: ml+structural

All Detected Categories

forum community discussion
70%
corporate
35%
education learning
34%
news/blog
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8129.153.17.133Ashburn, Virginia, United States
AS31898ORACLE-BMC-31898
8142.250.185.163United States
AS15169GOOGLE
8216.58.206.42United States
AS15169GOOGLE
82a00:1450:4001:827::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
82a00:1450:4001:831::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
425--

Detected Technologies9

WordPressv6.8.3
100%
JQueryv3.7.1
100%
Bootstrapv3.3.6
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170F2D8B39459C477770E9798D0A1B729E26A9115CF02CBE2B3F560DCAB94AF704B320D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Bih1s0mZdapzjiYD3NejrWsWEN/p5wNnWbvEdwbxl/i6R:Bigap6YD3NejrrTN/p5wNnWbvEdwbxlh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34883:AAAkIPu3UFyWZDohAQAhhD3NECSqGikyY7IiSWwKLYCDBcAioHBYBaRBFAlpIE1lihkEZEuAEAEAWEHub6EALMpkUkIBwghp

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:00000000ffffe7ff
Perceptual Hash:b24cb3b3cd32ccb0
Difference Hash:40e2b1a50e0c8d8d
Wavelet Hash:08000000ffffefff
Color Hash:#693a78

Scan History

Scan history not available

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