Security Scan Report: zurichclaims.com

Redirected to:
https://zurichclaims.com/lander
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 4 domains to perform 11 HTTP transactions. The main domain is zurichclaims.com and was registered 1 year 1 month ago.

Submitted URL: https://zurichclaims.com

Effective URL:
https://zurichclaims.com/lander
Redirected

AI Security Verdict

Low Risk

Confidence: 55%

2
Risk Score

Empty GoDaddy parking lander on a 396-day-old domain: zero forms, zero Indicators of Compromise, no malware or impersonation. No malicious content observed, but also no real site content — treat as a placeholder.

Risk Factors (2)
Domain name contains the word 'zurichclaims', which evokes an insurance brand, while the page itself publishes no content, ownership information or disclosures
Parked/placeholder lander with no legitimate business content and no reputation — could later be repurposed, but no malicious behavior is present today
Safety Factors (4)
No credential, login or payment form present
No Indicators of Compromise, YARA malware, kit-roster or network IDS hits
No brand impersonation observed: the page displays no third-party brand, logo or login
Domain registered over a year ago; normal registrar/CDN infrastructure
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'zurichclaims.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'zurichclaims' is 12 characters long split between four vowels and 8 consonants. It segments into 2 words: zurich, claims. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zurichclaims.com

Page Load Overview

1.17s
Total Load Time
213 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33.33.130.190Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123.53.42.211Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
116.4.60.171Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
123.67.142.207Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
115.197.148.33Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123.207.210.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.207.210.148Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.127.174.28Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
1104.101.244.88Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA0146C28C61C21C5570469C7A33BE3EA256901D9DE1EC80F1F0005569CDBD34C5E4D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:n0VA8y9BNbULHmM6MXRKL1mNVWSwbvVpKSZO7HfO:nmhSNbULG5qGvSuuSZ2Hm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:832:AAYBAAAAEFgAEAAAAAABEAAEAAAAAAAAAAAAAAIAIAAAAAAAAAAACAAAAAAAAAAAAAAABQiAAABEAhAAAACwAAAAAAAAACAA

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data