ScanMalware.com

Security Scan Report: google.xuanli.workers.dev

Redirected to:
https://google.xuanli.workers.dev/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b68aa6f5-acd5-40ef-992e-d3dd0f9e1073Domain and IP registration (RDAP)/api/v1/rdap/b68aa6f5-acd5-40ef-992e-d3dd0f9e1073How often this domain was scanned/api/v1/domain/stats/google.xuanli.workers.devScan history for this domain/api/v1/domain/history/google.xuanli.workers.dev?limit=15
This website contacted 6 IPs in 1 country across 5 domains to perform 43 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: http://google.xuanli.workers.dev/

Effective URL:
https://google.xuanli.workers.dev/
Redirected

AI Security Verdict

High Risk

Confidence: 82%

7
Risk Score

Non-Google workers.dev subdomain displays Google branding, favicon, consent text, and search UI without authorization. No credential form found, but brand impersonation is a strong phishing signal.

Risk Factors (4)
Impersonation of Google branding on a domain that is not controlled by Google.
Deceptive subdomain uses 'google' within google.xuanli.workers.dev to appear official.
Shared hosting subdomain on workers.dev with unknown creation date and no attributable reputation.
Google favicon and Google-style consent/search page served from a non-Google host.
Domain age information unavailable

Details

Page Title

Google

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'google.xuanli.workers.dev' is registered; it also runs on subdomain 'google.xuanli'. The core label 'workers' covers 7 characters with 2 vowels and 5 consonants. Tokenizing the label suggests one word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://google.xuanli.workers.dev/

Page Load Overview

2.30s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:3,770 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content58% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
58%
corporate business
51%
news media journalism
29%
documentation technical
28%
education learning
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.67.211.155Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.250.154.110Google · CDNUnited States
AS15169Google LLC
7142.251.20.110Google · CDNUnited States
AS15169Google LLC
7192.178.183.95Google · CDNUnited States
AS15169Google LLC
7142.250.154.139Google · CDNUnited States
AS15169Google LLC
7104.21.53.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
436--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E747E316300B83BB423DAA0A5BF6F4E3C3AF15BED0A46F8A591D5709FE2DB2141565C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:z/FeQz+41fpuAHJZi1KHDFFKiGkJIaeFJZQ3:z/Few1fpuAHJZ8KHDSiGkJI5FJZQ3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:357026:CXsAEAcDQiCXwhwWiHnAuleAlpAHQAwA1fiEcCsMDoYCAgoFwMRADghiNIkELMGNFNPEyC8RAVLyRyArwhRIDIQFLBDDgnfP

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:183c3c3c3c3c3c18
Perceptual Hash:9bd9646465737451
Difference Hash:6869697969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#ac536b

Other Hashes

Crop Resistant:829ef6ba9aeb968e,6869697969696969

Scan History

Scan history not available

Unable to load historical scan data