Security Scan Report: ru.trip.com

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Submitted: Sep 30, 2026, 7:41:14 AMCompleted: Sep 30, 2026, 7:42:25 AMpubliccompleted

This website contacted 65 IPs in 4 countries across 40 domains to perform 216 HTTP transactions. The main domain is ru.trip.com and was registered 30 years ago.

Submitted URL: https://ru.trip.com/flights/status-fz1073/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Trip.com flight-status page for Flydubai FZ1073 on an established 28-year-old ranked domain. No forms, no Indicators of Compromise, no malware or phishing signals.

Safety Factors (4)
Well-established domain (28 years old) with strong Cisco Umbrella ranking
Content matches domain owner: Trip.com is a legitimate travel booking platform displaying its own brand
No credential-harvesting, payment, or exfiltration behavior detected
Third-party scripts served from top-1M ranked, recognizable CDN/analytics hosts
Domain age information unavailable

Details

Page Title

Статус рейса Flydubai на сегодня — проверьте рейс FZ1073 | Trip.com

Scan Type

public

Domain Name Analysis

Domain 'ru.trip.com' uses the commercial generic top-level domain (.com) and includes subdomain 'ru'. Its registrable label 'trip' stretches across 4 characters containing one vowel alongside 3 consonants. Word splitting yields 1 word: trip. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ru.trip.com/flights/status-fz1073/

Page Load Overview

8.42s
Total Load Time
4.5 MB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru-RU
Text Length:16,872 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software50% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
50%
government public service
46%
travel tourism
42%
corporate
35%
adult content
31%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2492.123.104.48Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
318.245.86.98Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
32.16.206.139Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
392.123.104.29Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.200.24.87Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
3163.181.254.186United States
AS24429Zhejiang Taobao Network Co.,Ltd
32.16.10.102Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
323.215.51.68Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
392.123.104.53Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
33.125.101.177Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21665--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10EC4293116F1243B6427E4A9EA517A26BED1E06FD9474998F2EC17984FD2DC3CA3B10C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:7Prr5Zce51+5205rITkTp8J7CMbxYuBVrVcV0CJ:7jfcgZs0C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:565275:InawSAA8iMXAFUEAJQNBNoxQWRoQNGAUREQJxAIiREQpJA4ACHiCmKIICGucBI5guwYRLgXFKAHxKLEAeBELgQuAAA4EgmwY

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:00003c7ffffffffe
Perceptual Hash:9306792d74abd2a6
Difference Hash:23f0ccd4562b1b18
Wavelet Hash:0000043cffffdbce
Color Hash:#77862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data