Security Scan Report: tripyytales.com

Redirected to: https://www.tripyytales.com/

Submitted: Nov 13, 2025, 7:14:06 PMCompleted: Nov 13, 2025, 7:14:27 PMpubliccompleted
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Summary

This website contacted 50 IPs in 3 countries across 9 domains to perform 37 HTTP transactions. The main domain is tripyytales.com and was registered NaN years ago.

Submitted URL: https://tripyytales.com/

Effective URL: https://www.tripyytales.com/Redirected

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

New, unranked site with no malicious signs; low risk but monitor for changes.

Risk Factors
Domain age less than 7 days (critical new domain)
Unranked domain in Cisco Umbrella (low reputation indicator)
Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment collection fields present
Page title indicates legitimate tourism content
Domain age information unavailable

Details

Page Title

tripyy tales - Jim Corbett, Nainital & Uttarakhand Tours

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(35%)

Domain Information

Within the commercial generic top-level domain (.com), 'tripyytales.com' is registered. Its registrable label 'tripyytales' stretches across 11 characters holding three vowels versus 8 consonants. Word splitting yields three words: trip, yy, tales. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tripyytales.com/

Page Load Overview

2.66s
Total Load Time
37
HTTP Requests
9
Domains
5.6 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:7,227 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism35% confidence
Type: static
Method: ml+structural

All Detected Categories

travel tourism
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113FASTLY
064.29.17.65United States
AS16509AMAZON-02
018.245.31.21United States
AS16509AMAZON-02
064.29.17.1United States
AS16509AMAZON-02
018.245.31.66United States
AS16509AMAZON-02
03.167.227.110United States
AS16509AMAZON-02
0216.198.79.65United States
AS16509AMAZON-02
0146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
0178.16.136.176Mumbai, Maharashtra, India
AS47583Hostinger International Limited
099.84.152.70United States
AS16509AMAZON-02
3750--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117B3F934B3C0127E284B87E5E795B36C7067D2ADD8A786A8F3AD429037C3CE957452E1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sqmumXmHmzrmgm8mHI6WkjgWDH5yVoV35p:M0I6WkjgKdpn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113480:OggxQxaKaVQQwlwAFKiARhCS6XCGMgNjSyJUiEmAEANTW1AkACwPVChiQlYUAEEgPjQAEkWF4HQAYAQtEHUoQAKbACxCQo4F

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:ffff181800000000
Perceptual Hash:8e91e2f6f7858ca0
Difference Hash:5af972723121af6b
Wavelet Hash:ffff1f3a98110101
Color Hash:#84931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data