Security Scan Report: fr.trip.com

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Submitted: Jun 20, 2026, 12:13:40 AMCompleted: Jun 20, 2026, 12:15:00 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is fr.trip.com and was registered NaN years ago.

Submitted URL: https://fr.trip.com/flights/cheap-flights-to-brazil-19/41-ht-to-br/

The Cisco Umbrella rank of the primary domain is #17,208 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate travel page; no malicious activity detected.

Safety Factors
Established domain with high Cisco Umbrella ranking (top 100K)
Brand consistency between domain and meta tags
Absence of forms collecting sensitive data
No threat‑intel or malware detections
Domain age information unavailable

Details

Page Title

Vols pas chers de Haïti vers Brésil dès 773 € | Trip.com

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

news media journalism

(100%)

Domain Information

The domain name 'fr.trip.com' uses the commercial generic top-level domain (.com) with subdomain 'fr'. Count 4 characters in 'trip' with one vowel and 3 consonants. It segments into one word: trip. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fr.trip.com/flights/cheap-flights-to-brazil-19/41-ht-to-br/

Page Load Overview

9.76s
Total Load Time
88
HTTP Requests
13
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr-FR
Text Length:6,123 chars
Detector Agreement:60%

Website Classification

Primary Category

news media journalism100% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
100%
technology software
100%
education learning
100%
adult content
100%
healthcare medical
100%

Detected Features

Products
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1892.123.104.53Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
142.16.206.134Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
142.16.204.135Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
142.16.204.160Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
1418.245.86.119United States
AS16509Amazon.com, Inc.
14184.24.77.58Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
886--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4040A32A921143F703F88ABB511E34E7781C00BC5AF9556F6AFA35587DAD8B5A2720C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6WHBTO99L6kRkmjPcj/CpBl32ZgzNZDgyr6NwRlgE:rBTO99L3kmjPcj/kBl32ZgTgQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185133:oRFQcCDMWJIQhjAAIACkqawAkBpKBDFIDAJggAREKghhSMyDHoSR1LZwqIAWgHkARulEsNhsBENjgMHAmLAmISxjAQAAaHBb

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:0000007c7cfeffff
Perceptual Hash:c30a2c7f83ad3e29
Difference Hash:4703f1d0c07407cf
Wavelet Hash:0000003c7cfeffff
Color Hash:#7994d2

Scan History

Scan history not available

Unable to load historical scan data