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Security Scan Report: uni-watch.com

Submitted: Oct 15, 2025, 1:46:42 AMCompleted: Oct 15, 2025, 1:49:47 AMpubliccompleted
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Summary

This website contacted 41 IPs in 2 countries across 17 domains to perform 170 HTTP transactions. The main domain is uni-watch.com and was registered NaN years ago.

Submitted URL: https://uni-watch.com/2025/10/14/houston-rockets-reintroduce-dunkstronaut-city-edition-uniforms/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns identified; the site appears legitimate.

Safety Factors
Established domain with long registration history
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Houston Rockets (Re)Introduce “Dunkstronaut” City Edition Uniforms | Uni Watch

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(58%)

Domain Information

Within the commercial generic top-level domain (.com), 'uni-watch.com' is registered with no subdomain. Count 9 characters in 'uni-watch' split between 3 vowels and 5 consonants, notching one hyphen. Splitting it apart reveals 2 words: uni, watch. Median word length comes out to 4 characters. 'uni' most often appears in English. You may catch it in Chinese (Pinyin) and Indonesian as well.

Screenshot

Security scan screenshot of https://uni-watch.com/2025/10/14/houston-rockets-reintroduce-dunkstronaut-city-edition-uniforms/

Page Load Overview

4.93s
Total Load Time
170
HTTP Requests
17
Domains
6.0 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-US
Text Length:14,827 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network58% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
58%
news/blog
35%
forum
35%
corporate
35%
news media journalism
32%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
56146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
45172.64.151.110United States
AS13335CLOUDFLARENET
15104.18.37.127United States
AS13335CLOUDFLARENET
12209.133.192.122Tampa, Florida, United States
AS29802HVC-AS
1099.86.4.122United States
AS16509AMAZON-02
799.86.4.102United States
AS16509AMAZON-02
699.86.4.40United States
AS16509AMAZON-02
5142.250.186.67United States
AS15169GOOGLE
5104.18.21.206United States
AS13335CLOUDFLARENET
4172.66.0.227United States
AS13335CLOUDFLARENET
17041--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11044197302A4027FB14BC3846E6AA7A83EAA917BF66258C8F3FF54554F85DF3006561C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FgJaptS/dNMfJiY1u7IXnWUW70ZKXKY+CLmgmSL9HaVDmT7ucxgmbgmvgmRz0gmN:eom/bM0LDL9HGK+xt/f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:273882:k4AFKINBkc4saAExIjBUjGzIIEnsxctpAAIRIIVIEAIGsnYoBYpBkAWDwYjITUBrTiUAiwFZAAUgCxWCiiKYWNHi4kQAiBDb

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:00003c3c3c3c0000
Perceptual Hash:9c4932669999ce9b
Difference Hash:200c717171610c28
Wavelet Hash:00003c3cffff8787
Color Hash:#8abf40

Other Hashes

Crop Resistant:9697ba72c5dbb5a5,200c717171610c28

Scan History

Scan history not available

Unable to load historical scan data