Security Scan Report: davescetlem.web.app

Redirected to:
https://www.google.com/
Site favicon
Submitted: Oct 7, 2026, 7:53:06 AMCompleted: Oct 7, 2026, 7:53:43 AMpubliccompleted

This website contacted 16 IPs in 1 country across 7 domains to perform 42 HTTP transactions. The main domain is google.com and was registered 18 years ago.

Submitted URL: https://davescetlem.web.app/

Effective URL:

https://www.google.com/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

This disposable address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.

Risk Factors (2)
Entry host davescetlem.web.app is a free platform subdomain whose actual creation date is unknown and which is unranked in Cisco Umbrella.
A cross-domain redirect from a platform subdomain to an unrelated destination can be abused as an open-redirect/launchpad, so the pattern warrants mild caution.
Safety Factors (2)
Redirect destination is the legitimate official google.com domain, not a typosquatted or credential-harvesting look-alike.
Scanner-vs-client content mismatch is consistent with ordinary bot protection/CDN behavior and shows no phishing content to corroborate evasion.
Domain age information unavailable

Details

Page Title

Page Redirection

Scan Type

public

Domain Name Analysis

Domain 'davescetlem.web.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'davescetlem'. The second-level label 'web' is 3 characters long with 1 vowel and two consonants. Tokenizing the label suggests 1 word: web. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://davescetlem.web.app/

Page Load Overview

3.62s
Total Load Time
1013 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:4,035 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism46% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
46%
adult content
36%
healthcare medical
35%
documentation technical
29%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
2142.251.13.139Google · CDNUnited States
AS15169Google LLC
2142.251.157.119Google · CDNUnited States
AS15169Google LLC
2142.251.20.94Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2142.250.154.101Google · CDNUnited States
AS15169Google LLC
2142.251.13.101Google · CDNUnited States
AS15169Google LLC
2142.251.153.119Google · CDNUnited States
AS15169Google LLC
2142.251.150.119Google · CDNUnited States
AS15169Google LLC
4216--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14FF0A3EF29403093005071099D86F05CEC57C4F875D98934D8C16A995F19739F4A37E1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:haxVFkM8QFCHxH7AaMXz7XxhuTpWF98qo88:haHFkMHCaVXvMWP8qQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:02d91c98a6108819a456d099d86f26c4

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:3fffffffffffffff
Perceptual Hash:8f0f0f0f0f0f0f07
Difference Hash:6000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#2dd298

Other Hashes

Crop Resistant:6000000000000000

Scan History

Scan history not available

Unable to load historical scan data