Security Scan Report: techpolicy.press

Redirected to: https://www.techpolicy.press/the-tea-dating-app-breach-and-the-quest-for-safer-online-platforms/

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Submitted: Oct 26, 2025, 10:18:50 AMCompleted: Oct 26, 2025, 10:21:58 AMpubliccompleted
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Summary

This website contacted 34 IPs in 3 countries across 16 domains to perform 61 HTTP transactions. The main domain is techpolicy.press and was registered NaN years ago.

Submitted URL: https://techpolicy.press/the-tea-dating-app-breach-and-the-quest-for-safer-online-platforms

Effective URL: https://www.techpolicy.press/the-tea-dating-app-breach-and-the-quest-for-safer-online-platforms/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with minimal risk category
Standard newsletter subscription form only (email field)
No external malicious links or redirects
Domain age information unavailable

Details

Page Title

The Tea Dating App Breach and the Quest for Safer Online Platforms | TechPolicy.Press

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(70%)

Domain Information

Domain 'techpolicy.press' uses the .press top-level domain and has no subdomain. The registrable portion 'techpolicy' spans 10 characters holding 3 vowels versus 7 consonants. Splitting it apart reveals 2 words: tech, policy. Average segment length settles at 5 characters. 'tech' is most common in English usage. Usage also turns up in Chinese (Pinyin) and Swedish contexts.

Screenshot

Security scan screenshot of https://techpolicy.press/the-tea-dating-app-breach-and-the-quest-for-safer-online-platforms

Page Load Overview

3.32s
Total Load Time
61
HTTP Requests
16
Domains
2.6 MB
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:8,574 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2735.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
8104.18.37.66United States
AS13335CLOUDFLARENET
6142.250.186.35United States
AS15169GOOGLE
6172.66.144.199United States
AS13335CLOUDFLARENET
3172.64.150.190United States
AS13335CLOUDFLARENET
334.149.250.58Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1104.20.28.189United States
AS13335CLOUDFLARENET
1216.58.206.42United States
AS15169GOOGLE
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
6134--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156F3F9364161613C81438D9725AE3A4EA30EE036F36295D5DA3DCAB0D78FE67C62335E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:B2/MH/3M2nfgdzYtVoUYETbwX9Apa8/hl2YEjUBnkuWwSKcNXP5w6tbYZtFIrZ/i:Q6/3M2noRwgepv7oEkuWPKcNf5b8tFWA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:163799:BPxGyOowYoBMBJNUDQOEQAAaWDY53MSASUAMTkVZJbkAktIMSQS1hSFASoGczQHkBAYIEAZQl5i4HZDTQYRAiUinLRsGBoAI

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:00003cbc9c9c8000
Perceptual Hash:9ec3613ecf38c321
Difference Hash:9126692129293f1a
Wavelet Hash:0093bdbdbf9d8181
Color Hash:#9479d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data