Security Scan Report: cdn.iphonelife.com

Redirected to:
https://www.iphonelife.com/
Submitted: Completed: publiccompleted
This website contacted 24 IPs in 2 countries across 14 domains to perform 180 HTTP transactions. The main domain is iphonelife.com and was registered 19 years ago.

Submitted URL: https://cdn.iphonelife.com

Effective URL:
https://www.iphonelife.com/
Redirected

The Cisco Umbrella rank of the primary domain is #505,078 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate iPhone Life publication served from its own CDN subdomain; no credential or payment forms, no threat-intel, malware, or IDS findings. Newsletter email signup only.

Safety Factors (4)
Domain and content align (iPhone Life site on its own domain; brand check passed, legitimate news-media context)
Only newsletter email signup forms — no password, credential, or payment collection
Cross-origin requests limited to well-known analytics/advertising/CDN hosts (Google, DoubleClick, PostHog, InMobi)
No threat-intel, hunting rule, Safe Browsing, or phishing/malware IDS indications
Domain age information unavailable

Details

Page Title

iPhone Life

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'cdn.iphonelife.com' is registered, featuring subdomain 'cdn'. Its registrable label 'iphonelife' stretches across 10 characters with five vowels and five consonants. It segments into two words: iphone, life. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cdn.iphonelife.com

Page Load Overview

7.41s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:8,940 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software46% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
46%
documentation technical
36%
news media journalism
34%
entertainment media
31%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
7146.75.122.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
7142.251.152.119Google · CDNUnited States
AS15169Google LLC
73.160.150.117Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7192.178.183.94Google · CDNUnited States
AS15169Google LLC
73.120.65.149Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
763.189.84.72Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
7142.251.155.119Google · CDNUnited States
AS15169Google LLC
73.160.150.61Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7142.251.14.94Google · CDNUnited States
AS15169Google LLC
18024--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158642A7D170010BE2C5782F5A2B0F70DF127D19ADE6B86D9FAAD92129FC2CE64D19630

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:YezlwGCGERY69Zby6cE6InnxG1pT3f6rTbqFV4TOphWEOuXWfUjxNm0prgMRsHg/:F3syN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:329681:wIHlOqhYDlEHwASAAaDUzEHAiZgMKMJEL0ogEzUNmQUImdoDVABiIBgQADoSJMBWGQeIAt6FBwlhqnxw8RymDokJAFlAqJgC

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:000000000000ffff
Perceptual Hash:c02fd03f4aa57a8d
Difference Hash:273b330b33bdaaa0
Wavelet Hash:8381818101cfffff
Color Hash:#2d864a

Scan History

Scan history not available

Unable to load historical scan data