Security Scan Report: www.ef.com

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Submitted: Oct 3, 2025, 12:53:20 PMCompleted: Oct 3, 2025, 12:54:34 PMpubliccompleted
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Summary

This website contacted 67 IPs in 3 countries across 22 domains to perform 137 HTTP transactions. The main domain is ef.com and was registered NaN years ago.

Submitted URL: https://www.ef.com/wwen/blog/language/australia-vs-new-zealand-better-place-live/

The Cisco Umbrella rank of the primary domain is #151,637 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site is a legitimate EF blog page with minimal risk.

Safety Factors
Long domain age and established registration date
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Official brand domain and consistent branding
Domain age information unavailable

Details

Page Title

Australia vs. New Zealand: which is a better place to live? ‹ EF GO Blog | EF Global Site (English)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Screenshot

Security scan screenshot of https://www.ef.com/wwen/blog/language/australia-vs-new-zealand-better-place-live/

Page Load Overview

4.23s
Total Load Time
137
HTTP Requests
22
Domains
1.2 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:18,012 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
35%
adult content
27%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2104.18.29.10United States
AS13335CLOUDFLARENET
213.226.244.102United States
AS16509AMAZON-02
2172.64.155.119United States
AS13335CLOUDFLARENET
213.33.187.58New York, New York, United States
AS16509AMAZON-02
2146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.250.186.99United States
AS15169GOOGLE
213.33.187.96New York, New York, United States
AS16509AMAZON-02
213.33.187.127New York, New York, United States
AS16509AMAZON-02
2104.18.32.137United States
AS13335CLOUDFLARENET
13767--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E84F60A3D509A3AD2DB8BDC75636B89B521954BFD738CECF14C87B40BCEBE48922115

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IGYR4JD7u0mXhs74hjOHvw/3MLKI7+7eDFp9Yhp6tqy+jy38mSjUxz9JA2FVeOIo:IGYyJPLLIy+4jBI7lC1xqf355naJfeSp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:376835:ICmH4oIioQQAINTDEI0SOCU4RhwUz8cAhAAhBpMIiSCgoBFyhAuGA6CEJFEmR4HkBDwqJQ2pAkBSDkUFRAMZIkAJlCgaJHBS

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:183c3c3c18180000
Perceptual Hash:989a676166676566
Difference Hash:71717171b2b2b204
Wavelet Hash:3c3c3c3c3c3c1800
Color Hash:#452dd2

Other Hashes

Scan History

Scan history not available

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