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Security Scan Report: law.stackexchange.com

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Submitted: Oct 26, 2025, 10:16:50 AMCompleted: Oct 26, 2025, 10:18:37 AMpubliccompleted
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Summary

This website contacted 137 IPs in 5 countries across 40 domains to perform 98 HTTP transactions. The main domain is law.stackexchange.com and was registered NaN years ago.

Submitted URL: https://law.stackexchange.com/questions/110224/how-is-the-tea-app-legal-in-the-u-s

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate Q&A site with no security concerns.

Safety Factors
Established domain (>5 years)
Reputable Stack Exchange network
Standard authentication flow (email/password, Google OAuth)
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

united states - How is "The Tea App" Legal in the U.S.? - Law Stack Exchange

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

forum community discussion

(41%)

Domain Information

Domain 'law.stackexchange.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'law'. The second-level label 'stackexchange' is 13 characters long split between 4 vowels and nine consonants. Breaking it apart gives 2 words: stack, exchange. The median word length lands at 6.5 characters. 'stack' most often appears in English. Secondary signals appear in Chinese (Pinyin) and Danish. Taken together, it feels English.

Screenshot

Security scan screenshot of https://law.stackexchange.com/questions/110224/how-is-the-tea-app-legal-in-the-u-s

Page Load Overview

32.88s
Total Load Time
98
HTTP Requests
40
Domains
470 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:14,480 chars
Detector Agreement:100%

Website Classification

Primary Category

forum community discussion41% confidence
Type: spa
Method: ml+structural

All Detected Categories

forum community discussion
41%
social media network
39%
technology software
39%
forum
35%
social_media
25%

Detected Features

Search
Comments
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9834.252.116.229Dublin, Leinster, Ireland
AS16509AMAZON-02
0192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
0104.18.41.33United States
AS13335CLOUDFLARENET
051.195.115.36France
AS16276OVH SAS
0104.16.175.226United States
AS13335CLOUDFLARENET
0142.250.181.232United States
AS15169GOOGLE
0216.239.36.21Mountain View, California, United States
AS15169GOOGLE
0172.64.147.34United States
AS13335CLOUDFLARENET
0104.18.86.42United States
AS13335CLOUDFLARENET
051.195.127.115Germany
AS16276OVH SAS
98137--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10664D75775A0223ED6D38789A6627A89B512D94FFD7708ECF19D43B84BCCFE18C12209

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:FVCkXQ0gorj+1+rdBxD0F0MOwD9UvWxVRNK1K8nmpZzDwkng6kX:F7/+wrdbDEHgmo6g6kX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:319120:cAOpwQKgNghEC5EkAECAIAokCcAgQ2WQY0KoARhwSIUQ1iA0GeAGdUFFBYCCIaJIrgsQRQLLBIAWSIMFAGsEgBYLCAUAglWA

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:00ffffff3f3f3f3f
Perceptual Hash:8ff807077871077c
Difference Hash:c4115b1b73677b63
Wavelet Hash:00edc9fb3b23033b
Color Hash:#6ce096

Other Hashes

Crop Resistant:c4115b1b73677b63,0048a696964a0000,016062d4d4626601,29959595a58cb431

Scan History

Scan history not available

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