Security Scan Report: www.complyfoam.com

Submitted: Apr 1, 2026, 8:48:42 AMCompleted: Apr 1, 2026, 8:49:22 AMpubliccompleted
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Summary

This website contacted 23 IPs in 5 countries across 22 domains to perform 550 HTTP transactions. The main domain is complyfoam.com and was registered NaN years ago.

Submitted URL: https://www.complyfoam.com/blogs/comply-foam-blog/apple-airpods-pro-3-next-level-noise-cancellation-live-translation?srsltid=AfmBOoo79SKl26cCI78oKb6zCNIXKmBzl-SPLUnJvNDPZHL8ro7jaFGS

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate blog article about Apple AirPods Pro 3; no phishing, malware, or other threats detected.

Safety Factors
Well‑established domain (>18 years old)
Article content with proper byline and date
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Apple AirPods Pro 3 Review:Next-Level ANC & Live Translation – Comply Foam

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(51%)

Domain Information

The domain name 'www.complyfoam.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Count 10 characters in 'complyfoam' with 3 vowels and seven consonants. Splitting it apart reveals two words: comply, foam. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.complyfoam.com/blogs/comply-foam-blog/apple-airpods-pro-3-next-level-noise-cancellation-live-translation?srsltid=AfmBOoo79SKl26cCI78oKb6zCNIXKmBzl-SPLUnJvNDPZHL8ro7jaFGS

Page Load Overview

10.51s
Total Load Time
550
HTTP Requests
22
Domains
2.3 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:21,459 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain51% confidence
Type: webapp
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
51%
technology software
49%
e-commerce shopping
48%
entertainment media
44%
documentation technical
40%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44108.138.2.99United States
AS16509Amazon.com, Inc.
23188.114.97.3United States
AS13335Cloudflare, Inc.
23104.17.25.14United States
AS13335Cloudflare, Inc.
2334.120.87.25Kansas City, Missouri, United States
AS396982Google LLC
23108.138.2.121United States
AS16509Amazon.com, Inc.
23104.17.24.14United States
AS13335Cloudflare, Inc.
2313.33.158.154New York, New York, United States
AS16509Amazon.com, Inc.
23108.138.2.39United States
AS16509Amazon.com, Inc.
2334.160.147.240Kansas City, Missouri, United States
AS396982Google LLC
23142.251.14.95United States
AS15169Google LLC
55023--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F99475729127A46FD42760F14E96C798F192D0A2DB7B47C233D99B4107D9C1B283EE3A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:WYIdHWoccD3YoccD35CLEza99QE4noccD3xbRz:WkoccD3YoccD35CAza99Q1occD37

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:441533:IgwVgKIBEhpApUyxAASABALhIxTFAgVdhIiICJzCQAKAIwQVHYw5I2hngEDaVAjWgtBGBIJ+vEAYKgARBZQwwEKYYQQLJJlA

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:00ff9791f1f1ffff
Perceptual Hash:ee3f13473c1c7043
Difference Hash:7b4b2d27e7c7e506
Wavelet Hash:00b38191f1f1f5e7
Color Hash:#49783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data