Security Scan Report: ebooking.trip.com

Redirected to:
https://ebooking.trip.com/login/index
Site favicon
Submitted: Completed: publiccompleted
This website contacted 20 IPs in 2 countries across 20 domains to perform 80 HTTP transactions. The main domain is trip.com and was registered 28 years ago.

Submitted URL: https://ebooking.trip.com

Effective URL:
https://ebooking.trip.com/login/index
Redirected

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

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Official Trip.com/携程 eBooking merchant login portal on the authentic trip.com domain. No threat-intel, malware, or phishing indicators; the login form is the platform's own same-origin sign-in.

Safety Factors (5)
Official subdomain of the well-established trip.com domain
Self-branding consistent between title, meta tags and hostname
No threat-intelligence, YARA, IDS, or Safe Browsing hits
Login form is same-origin with no credential exfiltration
Third-party scripts served from ranked, brand-associated CDN hosts (tripcdn.com, ctrip.com)
Domain age information unavailable

Details

Page Title

eBooking System - Make your business easier! eBooking system is a dynamic and transparent service platform which can support the property to manage the reservations, room rates and availability, and revenues efficiently. Based on data analysis, the property can process reservations, join in promotions or campaigns, manage reviews, sell additional products etc. Let's practice this win-win model to provide better services to users.

Scan Type

public

Domain Name Analysis

The domain name 'ebooking.trip.com' uses the commercial generic top-level domain (.com) and includes subdomain 'ebooking'. Its registrable label 'trip' stretches across 4 characters holding 1 vowel versus 3 consonants. It segments into one word: trip. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ebooking.trip.com

Page Load Overview

4.83s
Total Load Time
1021 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:1,983 chars
Detector Agreement:80%

Website Classification

Primary Category

travel tourism82% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
82%
technology software
81%
real estate property
79%
corporate business
79%
e-commerce shopping
72%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
492.123.104.23Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
42.16.204.135Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
423.36.162.215Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
423.215.51.86Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
42.16.206.139Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
4163.181.254.181United States
AS24429Zhejiang Taobao Network Co.,Ltd
492.123.104.54Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
423.215.51.118Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
492.123.104.29Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
43.69.205.215Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
8020--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DD24D60BF84A87F571145C8A572732CB08AB17FDD618CA0D5FCC2B89BCADE7692150A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:yzawXNWgQJh9ee8ZvYwf1keJukafFpK5E9L8NOyTpb:yzaw9WxFee8C01ke/GFkitzwb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30976:CB3HAMgNAVPAAktkEJANGEATUkFECoS0kkCJDptArgQAFCAUgIIAJIS5axBSFAMiCBKrnMBYBHAazhmWGyImlgUQzAyKBSDI

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:2070606000ffffff
Perceptual Hash:c343bd3d45ad3c18
Difference Hash:c1c9c9c1c11d0921
Wavelet Hash:2060606020ffffff
Color Hash:#87b3c5

Scan History

Scan history not available

Unable to load historical scan data