Security Scan Report: www.tripadvisor.in

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Submitted: Completed: publiccompleted
This website contacted 21 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is tripadvisor.in and was registered 21 years ago.

Submitted URL: https://www.tripadvisor.in/ShowUserReviews-g33388-d560331-r662228432-University_of_Denver-Denver_Colorado.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate TripAdvisor page showing an access‑blocked notice; no security concerns detected.

Safety Factors (2)
Established brand (TripAdvisor) with long registration history
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

tripadvisor.inother network

Scan Type

public

Domain Name Analysis

Domain 'www.tripadvisor.in' uses the Indian country-code top-level domain (.in), featuring subdomain 'www'. The registrable portion 'tripadvisor' spans 11 characters containing 4 vowels alongside 7 consonants. Segmentation suggests two words: trip, advisor. Expect 5.5 characters per word on average. 'trip' is most common in English usage. You will also see it in Chinese (Pinyin) and Indonesian contexts. Net impression: English phrase.

Screenshot

Security scan screenshot of https://www.tripadvisor.in/ShowUserReviews-g33388-d560331-r662228432-University_of_Denver-Denver_Colorado.html

Page Load Overview

26.41s
Total Load Time
163 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:14 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
813.32.99.128New York, New York, United States
AS16509AMAZON-02
065.9.66.86United States
AS16509AMAZON-02
013.32.121.70New York, New York, United States
AS16509AMAZON-02
013.32.99.78New York, New York, United States
AS16509AMAZON-02
03.78.137.250Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
013.32.121.49New York, New York, United States
AS16509AMAZON-02
013.32.99.43New York, New York, United States
AS16509AMAZON-02
02600:9000:2251:e600:7:c516:5a80:93a1United States
AS16509AMAZON-02
02600:9000:2251:2600:7:c516:5a80:93a1United States
AS16509AMAZON-02
02600:9000:2251:3400:7:c516:5a80:93a1United States
AS16509AMAZON-02
821--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13431B7FE8F10501D0A2E1A65F4B0B14C07164B83BAD8EC5071C0F722E1919FB0D9C715

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nMX8q05CBpEXxjCjUQMIw22D580+XgTm7GIUQ9c8q:nzGBp+xjMMXD5Ho77G+9rq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1557:AAABEABEAAAAAAACACBAAAgAAEIQgCIAgAAQAAAADCQAAAAAAEAAABgAAACQEACQAgAAAAAggAAAAgAAgAAAAAAgAAAAggAQ

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:e7ffffc70000ffff
Perceptual Hash:b3a6ce3333cc8233
Difference Hash:0c08001858180000
Wavelet Hash:e4e4ff000000ffff
Color Hash:#6ce096

Other Hashes

Crop Resistant:0c08001858180000

Scan History

Scan history not available

Unable to load historical scan data