Security Scan Report: www.gotoflyer.com

Site favicon
Submitted: Dec 14, 2025, 2:16:41 PMCompleted: Dec 14, 2025, 2:17:28 PMpubliccompleted
Loading additional data...

Summary

This website contacted 27 IPs in 2 countries across 9 domains to perform 60 HTTP transactions. The main domain is gotoflyer.com and was registered NaN years ago.

Submitted URL: https://www.gotoflyer.com/airlines/spirit-airlines-flights

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate travel booking site with no apparent security threats.

Safety Factors
Established domain age
No password or payment fields
No malicious Indicators of Compromise
Booking form recognized as legitimate travel search
Domain age information unavailable

Details

Page Title

Spirit Airlines Flights & Tickets | Spirit Airlines Reservations

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

healthcare medical

(35%)

Domain Information

The domain 'www.gotoflyer.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 9 characters in 'gotoflyer' holding three vowels versus 6 consonants. It segments into 2 words: goto, flyer. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gotoflyer.com/airlines/spirit-airlines-flights

Page Load Overview

7.14s
Total Load Time
60
HTTP Requests
9
Domains
1.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:9,586 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical35% confidence
Type: webapp
Method: ml+structural

All Detected Categories

healthcare medical
35%
adult content
34%
travel tourism
34%
documentation technical
28%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.250.184.232United States
AS15169GOOGLE
23.91.112.2Ashburn, Virginia, United States
AS14618AMAZON-AES
2142.250.184.234United States
AS15169GOOGLE
218.66.102.11United States
AS16509AMAZON-02
2104.16.175.226United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
218.66.112.110United StatesUnknown
23.171.214.3United States
AS16509AMAZON-02
2216.239.32.36United States
AS15169GOOGLE
2142.250.186.131United States
AS15169GOOGLE
6027--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8D3942060F114B701E780E967F26F0BAEE5E65BC60A5544B6AC4FE00FE7C86D92B5F4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:U14lH1f80IhmtXLAoZP85Rn8FA9Wx+5I2oqcYv8g3wu0MCLPYBBV:jlH1f8lhmc8G9BnR0Uwu0MWY1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140106:QglB4A2AIERCCcQQCyDB2YuysQAYMFqATxWGgvIVJAJCIOCALjIWAgYAIKuFGDowkEhJnWbEAATSg8CbAEGIjBKJIDYC0qMX

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:00003c2403ffffff
Perceptual Hash:8606fce92982debc
Difference Hash:23e8e0cc1f30163e
Wavelet Hash:00003c3401ffffff
Color Hash:#6ce0b3

Scan History

Scan history not available

Unable to load historical scan data