Security Scan Report: 9000-firebase-verify-1781672856551.cluster-axf5tvtfjjfekvhwxwkkkzsk2y.cloudworkstations.dev

Submitted: Jul 7, 2026, 6:34:55 PMCompleted: Jul 7, 2026, 6:36:02 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 15 HTTP transactions. The main domain is 9000-firebase-verify-1781672856551.cluster-axf5tvtfjjfekvhwxwkkkzsk2y.cloudworkstations.dev and was registered NaN years ago.

Submitted URL: https://9000-firebase-verify-1781672856551.cluster-axf5tvtfjjfekvhwxwkkkzsk2y.cloudworkstations.dev/?monospaceUid=960210#[email protected]

The Cisco Umbrella rank of the primary domain is #129,270 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site mimics a webmail login, uses an email address in the URL fragment, and lacks legitimate form fields, indicating a credential phishing attempt.

Risk Factors
Phishing lure via email in URL fragment
Impersonation of a webmail service
Low reputation ranking for a site presenting a login page
Safety Factors
Domain age 1634 days (well‑established)
No malicious IoC or YARA matches
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

Webmail Login

Scan Type

public

Language

🇪🇸

CA

(14% confidence)

Category

healthcare medical

(52%)

Domain Information

The domain '9000-firebase-verify-1781672856551.cluster-axf5tvtfjjfekvhwxwkkkzsk2y.cloudworkstations.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain '9000-firebase-verify-1781672856551.cluster-axf5tvtfjjfekvhwxwkkkzsk2y'. Its registrable label 'cloudworkstations' stretches across 17 characters split between 6 vowels and eleven consonants. It segments into two words: cloud, workstations. Expect 8.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://9000-firebase-verify-1781672856551.cluster-axf5tvtfjjfekvhwxwkkkzsk2y.cloudworkstations.dev/?monospaceUid=960210#rfranklin@secure-u.com

Page Load Overview

0.94s
Total Load Time
15
HTTP Requests
2
Domains
33 KB
Total Size

Language Analysis

Primary Language

🇪🇸CA
Code: ca
Confidence:14%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ca
Detection Confidence:14%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:1,275 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ca

Website Classification

Primary Category

healthcare medical52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
52%
technology software
51%
news media journalism
51%
adult content
47%
education learning
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8136.110.210.51Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7142.251.20.95Google · CDNUnited States
AS15169Google LLC
152--

Page Statistics

15
Requests
2
Unique Domains
121.1 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD24E874B5FA30852646E1BC27AA52107B25E12BF40A8C5EF6DD77ACCFC574488D238D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:gZk0lau5lM/pCkmpGXiwLlCyr40UZf5/S8Qfhuo:j0lau5lM/pCkmpGXiwLlCyr40SLCuo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:228035:BWRYIGJAogIQhUsG0h2BBoClUgKAAmUJCcCaiwiFGlJKYno8ADgEQE36DQJhpAKaBkADGYAAwAJMugSAgECBNgyCHKQCA40A

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:e7e7e7c3dfffffff
Perceptual Hash:b333cccc6666c68c
Difference Hash:0c0c0c0e12080000
Wavelet Hash:24242400272f3f3f
Color Hash:#79d292

Other Hashes

Crop Resistant:0c0c0c0e12080000

Scan History

Scan history not available

Unable to load historical scan data