Security Scan Report: allianzretailportal.com

Redirected to:
https://id.allianzretailportal.com/am/XUI/?realm=/alpha&goto=https://i...
Submitted: Sep 25, 2026, 11:12:25 PMCompleted: Sep 25, 2026, 11:14:09 PMpubliccompleted

This website contacted 6 IPs in 2 countries across 3 domains to perform 167 HTTP transactions. The main domain is id.allianzretailportal.com and was registered 26 years ago.

Submitted URL: https://allianzretailportal.com

Effective URL:

https://id.allianzretailportal.com/am/XUI/?realm=/alpha&goto=https://i...
Redirected

AI Security Verdict

Low Risk

Confidence: 60%

2
Risk Score

Aged (3+ yr) domain serving a standard ForgeRock OAuth/OIDC broker login with no forms, no threat-intel hits and no malware signals; likely a genuine enterprise portal, only the off-brand domain keeps it from LEGITIMATE.

Risk Factors
Domain is unranked / not in Cisco Umbrella top 1M despite referencing a major insurance brand
Registrable domain is not the official allianz.com property, so brand ownership cannot be confirmed from scan data alone
Safety Factors
Established domain age (3+ years)
Standard enterprise IAM login stack (ForgeRock AM) with same-domain OAuth redirect
No forms, no password/payment fields, no cross-origin credential exfiltration
No Indicators of Compromise, no Safe Browsing or IDS hits
Domain age information unavailable

Details

Page Title

Allianz Retail Portalsecondary capture

Scan Type

public

Domain Name Analysis

The domain name 'allianzretailportal.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'allianzretailportal' is 19 characters long split between eight vowels and 11 consonants. Tokenizing the label suggests three words: allianz, retail, portal. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://allianzretailportal.com

Page Load Overview

17.21s
Total Load Time
4.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:118 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software42% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
42%
news media journalism
40%
adult content
38%
healthcare medical
34%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3218.66.122.117Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2734.107.166.146Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2718.66.122.109Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2718.66.122.122Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2718.66.122.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2778.46.156.89Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1676--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182647495FA90D43F6D2B5A36A76DB5ACF3106C819D110EF9F291868172CBFF31102B1A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:QkvR5E0hVSy0ZNe5+oeb5Bas9gcuKlGp44rFr8GWIXY64oV7RpuXJu4Sqa6Ewkh7:UrC2F48Zgw2F4QlfmZ+ceH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:316028:ACq0wyQUmFKDAAxEEA5RGlQEBCDIKBASAJaIrFRFBghTo0IQC4Iw7HJry5JKKKMv7EhIAiSjGQBEaJJJCjAlBoEYrCASYgAs

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:ffffffefe7ffffff
Perceptual Hash:b38ccc3333cccc33
Difference Hash:0000000808000000
Wavelet Hash:0f0f0303c3c3cfcf
Color Hash:#8788c5

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data