Security Scan Report: app.ncl.com

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Submitted: Jan 8, 2026, 5:20:21 PMCompleted: Jan 8, 2026, 5:22:27 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 14 domains to perform 2 HTTP transactions. The main domain is app.ncl.com and was registered NaN years ago.

Submitted URL: https://app.ncl.com

The Cisco Umbrella rank of the primary domain is #65,934 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official brand subdomain
Long‑standing domain registration
No credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Cruises: Norwegian Cruise Line Vacation Deals | NCL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(80%)

Domain Information

You're looking at domain 'app.ncl.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'app'. The core label 'ncl' covers 3 characters with 0 vowels and three consonants. Tokenizing the label suggests 1 word: ncl. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.ncl.com

Page Load Overview

44.95s
Total Load Time
81
HTTP Requests
9
Domains
3.7 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:13,222 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning80% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
80%
adult content
60%
travel tourism
48%
corporate
35%
government public service
30%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
988.221.168.237Ireland
663.140.62.120United States
623.209.208.19Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
654.247.130.247Unknown
644.197.47.122Ashburn, Virginia, United States
AS14618AMAZON-AES
652.213.175.107UnknownUnknown
654.194.65.57UnknownUnknown
623.56.202.236UnknownUnknown
663.140.62.139UnknownUnknown
663.140.62.200UnknownUnknown
8113--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C14B631D5942937917328E8B6A5AB1CB1E3D20FCA4B4C58B7FCDB981FD6C94AA1341C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:f6F5KfkRyR7kf2SQ/bV6CGfBToVaXstGVU1xJbE32EembqxkfVPmsu:055yRyfBV32EeiPmR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:209017:0uYGxeCaiXDCAbCCPkgABYgFlcVAxSAAIciBQyNxBRCiqgEKsEzZAEoA4jQQBIESHiAQi64RBeSMj5LFEBPFhQIgBD2wIAoQ

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:ff870000007eff9f
Perceptual Hash:9e63bfc11ce39085
Difference Hash:513e39f5f4d83734
Wavelet Hash:ff870000007eff9f
Color Hash:#65ac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data