Security Scan Report: subscribe.inyt.com

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Submitted: Jan 6, 2026, 11:07:45 AMCompleted: Jan 6, 2026, 11:08:21 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 5 domains to perform 25 HTTP transactions. The main domain is subscribe.inyt.com and was registered NaN years ago.

Submitted URL: https://subscribe.inyt.com/contact-us

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate contact page for The New York Times International Print Edition.

Safety Factors
Well‑established domain age
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise
Brand name matches official New York Times International service
Domain age information unavailable

Details

Page Title

Contact Us - The New York Times International Print Edition

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'subscribe.inyt.com' uses the commercial generic top-level domain (.com) and includes subdomain 'subscribe'. The second-level label 'inyt' is 4 characters long holding 1 vowel versus three consonants. Segmentation suggests three words: in, y, t. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://subscribe.inyt.com/contact-us

Page Load Overview

1.69s
Total Load Time
23
HTTP Requests
4
Domains
443 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:1,718 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.58.206.46Germany
5146.75.121.164Frankfurt am Main, Hesse, Germany
AS54113FASTLY
552.70.193.103Ashburn, Virginia, United States
AS14618AMAZON-AES
5142.250.186.104United States
AS15169GOOGLE
234--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED13F7685390A13DB413CDE71290678961EDE81BD925FAFA6E675723CF4B9831203B0F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:f54Go3n333Olpn6phvTbsHiV1ijov7lo1qktmgolo0ilr6/qHW:akC7koNXN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44328:gMhAl+JQKxQgiIIKEBQaDCzJhwWJEACYCCEQYQSwYQCRgyVCKbB8YBgNIwFUAgUcKgEAVkDICACRgS7EIUggwHAUFSE4NIXM

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data