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Security Scan Report: ingest.apple-studies.com

Redirected to: https://ingest.apple-studies.com/

Submitted: Nov 25, 2025, 1:38:18 PMCompleted: Nov 25, 2025, 1:43:50 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ingest.apple-studies.com and was registered NaN years ago.

Submitted URL: http://ingest.apple-studies.com/

Effective URL: https://ingest.apple-studies.com/Redirected

The Cisco Umbrella rank of the primary domain is #24,110 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site is not malicious but has an invalid TLS certificate, making the connection insecure.

Risk Factors
Invalid TLS certificate (certificate authority not trusted)
HTTPS connection flagged as insecure by browser
Safety Factors
Domain age > 8 years (well established)
No credential or payment forms present
No malicious Indicators of Compromise detected
Cisco Umbrella ranking within top 25 000 (indicates legitimate traffic)
Domain age information unavailable

Details

Page Title

Privacy error

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

Within the commercial generic top-level domain (.com), 'ingest.apple-studies.com' is registered and includes subdomain 'ingest'. The registrable portion 'apple-studies' spans 13 characters holding 5 vowels versus 7 consonants; it also includes 1 hyphen. Segmentation suggests 2 words: apple, studies. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ingest.apple-studies.com/

Page Load Overview

0.65s
Total Load Time
3
HTTP Requests
1
Domains
1 KB
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:768 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
57%
adult content
48%
phishing scam
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
217.33.194.101United States
AS714APPLE-ENGINEERING
117.33.192.26United States
AS714APPLE-ENGINEERING
117.33.193.218United States
AS714APPLE-ENGINEERING
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACD3BFA115E50A7F181B44DB739B39493B68A0836603ED93F5FCB850CF8F6B52462BC9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9mqWZAdOo9La2g+nfKBb7N7w9oMq5pchzJGu4lWQK3bV:fWWxAmV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135089:AKQiCBESsIgJUIQQAIM+UViKAFAhGnwEIxCENhQOoKKUfWxIhBYIUC5piwDghCiCQAGs4DBJFhVIE9YAJGAhE8MIOQCGTaKA

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:ffcfc7c7c3f3ffff
Perceptual Hash:b0339bcc6c936764
Difference Hash:001c0c0c16060000
Wavelet Hash:3c0c0000033f0303
Color Hash:#3c783a

Other Hashes

Crop Resistant:001c0c0c16060000

Scan History

Scan history not available

Unable to load historical scan data