Security Scan Report: swscan.apple.com

Submitted: Nov 27, 2025, 2:19:18 AMCompleted: Nov 27, 2025, 2:21:17 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is swscan.apple.com.

Submitted URL: https://swscan.apple.com/

The Cisco Umbrella rank of the primary domain is #13 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Apple subdomain returning 404, no security concerns.

Safety Factors
High Cisco Umbrella ranking indicates reputable domain
Subdomain belongs to Apple, a well‑known brand
Absence of credential or payment collection mechanisms
Domain age information unavailable

Details

Page Title

swscan.apple.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

You're looking at domain 'swscan.apple.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'swscan'. Count 5 characters in 'apple' split between 2 vowels and three consonants. It segments into 1 word: apple. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://swscan.apple.com/

Page Load Overview

0.19s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:216 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
63%
cryptocurrency blockchain
43%
government public service
39%
news media journalism
37%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.192.152.170Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
02a02:26f0:3500:491::1759Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a02:26f0:3500:493::1759Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6048F77329A063D86558498E057430D9F20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3fQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIszY2bMy8Old+:IhoC9J395CbZgLtSL3gcrsc2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183712:QbMKEU66DAYigW0REM3LAIRNABpABSCQK1kiwrBrBCQlcSMvIiIklIEgCAAReIEmCNBFdmS4AIIiESacdF1MwAJbJqCanwUK

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:ff7f0103fffffefc
Perceptual Hash:d22dd281d22d7d78
Difference Hash:c0c02b4380000004
Wavelet Hash:3f3f000000000300
Color Hash:#2d8686

Other Hashes

Crop Resistant:c0c02b4380000004

Scan History

Scan history not available

Unable to load historical scan data