Security Scan Report: amp-api-updates.apps.apple.com

Submitted: Nov 25, 2025, 10:31:26 PMCompleted: Nov 25, 2025, 10:34:28 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is amp-api-updates.apps.apple.com.

Submitted URL: https://amp-api-updates.apps.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: 96%

0
Risk Score

Legitimate Apple API endpoint with no security concerns.

Safety Factors
High Cisco Umbrella ranking (top 100)
Trusted parent domain (apple.com)
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Error

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

unknown

(0%)

Domain Information

The domain 'amp-api-updates.apps.apple.com' uses the commercial generic top-level domain (.com), featuring subdomain 'amp-api-updates.apps'. The registrable portion 'apple' spans 5 characters with two vowels and 3 consonants. Breaking it apart gives one word: apple. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amp-api-updates.apps.apple.com/

Page Load Overview

0.14s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:47 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.75.123.6Frankfurt am Main, Hesse, Germany
AS54113FASTLY
12a04:4e42:8e::774Frankfurt am Main, Hesse, Germany
AS54113FASTLY
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T164C080DAD3F11002991062444DD575541DCFE797254B85057584602DCFC5575CD473E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZxOvYk2FF/UvfHKERaAEtvpL//4+XNM/PLKyRhrKHyaZKxvF2HKqz:haxWYkiWK4aAEdpsUrChrKrZKxv8HKqz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:51150950b58b8c33374799975312eb4b

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:3f1fffffffffffff
Perceptual Hash:82030101e1f3ffff
Difference Hash:c0e0000000000000
Wavelet Hash:7010f0f0f0f0f0f0
Color Hash:#87c5b5

Other Hashes

Crop Resistant:c0e0000000000000

Scan History

Scan history not available

Unable to load historical scan data