Security Scan Report: autodiscover.fijiairways.com

Redirected to: https://autodiscover.fijiairways.com/owa/auth/logon.aspx?replaceCurrent=1&url=https%3a%2f%2fautodiscover.fijiairways.com%2fowa%2f

Submitted: Mar 21, 2026, 6:35:59 AMCompleted: Mar 21, 2026, 6:37:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is autodiscover.fijiairways.com and was registered NaN years ago.

Submitted URL: https://autodiscover.fijiairways.com

Effective URL: https://autodiscover.fijiairways.com/owa/auth/logon.aspx?replaceCurrent=1&url=https%3a%2f%2fautodiscover.fijiairways.com%2fowa%2fRedirected

The Cisco Umbrella rank of the primary domain is #658,478 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Outlook OWA login page for Fiji Airways; no malicious indicators detected.

Safety Factors
Well‑established domain
Standard corporate autodiscover subdomain
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(79%)

Domain Information

Domain 'autodiscover.fijiairways.com' uses the commercial generic top-level domain (.com) with subdomain 'autodiscover'. Its registrable label 'fijiairways' stretches across 11 characters split between five vowels and 6 consonants. Word splitting yields two words: fiji, airways. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://autodiscover.fijiairways.com

Page Load Overview

6.50s
Total Load Time
6
HTTP Requests
1
Domains
56 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:578 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
79%
news media journalism
67%
government public service
64%
healthcare medical
62%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
620.227.115.246Sydney, New South Wales, Australia
AS8075Microsoft Corporation
61--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T178439E3FA9572C332867607463DBB28A3B2A8417824ED9243C7C1758EF81D76417EBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:byDwuJmtz7e05Nnfvi2aD2xfkzdKV7aQblNoJmgK4e2FuzUEQnclYtcF:ttzK05N7aD2xfEkF5F4nFuYcScF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57268:rgKubGSYYoQxhxgQAYRBXAAAfXAQYJAGAcDDxDRQOCQBEUwEIZAHOETgczUNE+vgswoCoAB/AtwFXBnAtEcoYYoBAAIKA5lB

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:3f3f3f3f3f3f3f3f
Perceptual Hash:83f677010989d9fc
Difference Hash:d0ccccd8d8d0d0d0
Wavelet Hash:3f273f3f3f0f0000
Color Hash:#79d291

Scan History

Scan history not available

Unable to load historical scan data