Security Scan Report: www.zillow.com

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Submitted: Oct 9, 2025, 8:32:32 AMCompleted: Oct 9, 2025, 8:33:24 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 9 domains to perform 17 HTTP transactions. The main domain is zillow.com and was registered NaN years ago.

Submitted URL: https://www.zillow.com/homedetails/930-Monterey-Blvd-San-Francisco-CA-94127/15138273_zpid/

The Cisco Umbrella rank of the primary domain is #6,842 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security concerns.

Safety Factors
Well-established domain with long registration history
High Cisco Umbrella ranking indicating reputable site
Absence of credential or payment collection forms
No external domains or suspicious redirects detected
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Access to this page has been denied

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

healthcare medical

(35%)

Domain Information

You're looking at domain 'www.zillow.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 6 characters in 'zillow' holding 2 vowels versus 4 consonants. Segmentation suggests three words: z, il, low. Expect 2 characters per word on average. 'z' most often appears in Italian. It also appears in Polish and French contexts.

Screenshot

Security scan screenshot of https://www.zillow.com/homedetails/930-Monterey-Blvd-San-Francisco-CA-94127/15138273_zpid/

Page Load Overview

6.04s
Total Load Time
17
HTTP Requests
9
Domains
233 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:en
Text Length:142 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

healthcare medical
35%
documentation technical
34%
news media journalism
33%
finance banking
29%
government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.121.40Frankfurt am Main, Hesse, Germany
AS54113FASTLY
134.120.250.63Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1108.138.7.5United States
AS16509AMAZON-02
134.36.73.246Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
113.32.27.75New York, New York, United States
AS16509AMAZON-02
113.32.27.51New York, New York, United States
AS16509AMAZON-02
1142.250.184.234United States
AS15169GOOGLE
1142.250.186.67United States
AS15169GOOGLE
1104.18.38.117United States
AS13335CLOUDFLARENET
113.32.27.44New York, New York, United States
AS16509AMAZON-02
1717--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11612C7320D5A500BA657812E2B777A88B2358003F912C6657CEDE534CFED6E29D52F74

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2rrn9ter/qVpM+60vKmIoG7fC6E55y41ws:2f9ter/8f6C6EDf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9618:x6ASAVQOkACwbUwMBYIU0gMWQItPJkg2iRBAACAGOKBEEAANThlKCJKCxlUI2CGIogAhyUWAkY5JAQIIBjAB4N2KGQgEKUAF

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:ffffefe7ffe7ffff
Perceptual Hash:b333cccc3333998c
Difference Hash:0010282828080000
Wavelet Hash:c0c0fce43f030f0f
Color Hash:#d2592d

Other Hashes

Crop Resistant:0010282828080000

Scan History

Scan history not available

Unable to load historical scan data