Security Scan Report: 9000-firebase-webm-1768550316492.cluster-lr6dwlc2lzbcctqhqorax5zmro.cloudworkstations.dev

Submitted: Feb 20, 2026, 12:03:06 AMCompleted: Feb 20, 2026, 12:04:31 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 15 HTTP transactions. The main domain is 9000-firebase-webm-1768550316492.cluster-lr6dwlc2lzbcctqhqorax5zmro.cloudworkstations.dev and was registered NaN years ago.

Submitted URL: https://9000-firebase-webm-1768550316492.cluster-lr6dwlc2lzbcctqhqorax5zmro.cloudworkstations.dev/#[email protected]

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing login page impersonating Cashninja; do not enter credentials.

Risk Factors
Credential harvesting form (email + password)
Brand impersonation on unrelated domain
Email address in URL fragment (phishing lure)
Low ranking for brand claim
Domain age information unavailable

Details

Page Title

cashninja

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(34%)

Domain Information

The domain name '9000-firebase-webm-1768550316492.cluster-lr6dwlc2lzbcctqhqorax5zmro.cloudworkstations.dev' uses the developer-focused generic top-level domain (.dev) with subdomain '9000-firebase-webm-1768550316492.cluster-lr6dwlc2lzbcctqhqorax5zmro'. The registrable portion 'cloudworkstations' spans 17 characters with six vowels and eleven consonants. Splitting it apart reveals 2 words: cloud, workstations. Median word length comes out to 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://9000-firebase-webm-1768550316492.cluster-lr6dwlc2lzbcctqhqorax5zmro.cloudworkstations.dev/#sahana@cashninja.com

Page Load Overview

7.42s
Total Load Time
15
HTTP Requests
9
Domains
234 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:241 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain34% confidence
Type: webapp
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
34%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.18.10.207United States
AS13335Cloudflare, Inc.
134.172.166.46Council Bluffs, Iowa, United States
AS396982Google LLC
1104.17.25.14United States
AS13335Cloudflare, Inc.
1151.101.129.229United States
AS54113Fastly, Inc.
1142.251.38.74United States
AS15169Google LLC
152.3.40.118Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
1104.18.11.207United States
AS13335Cloudflare, Inc.
1104.17.24.14United States
AS13335Cloudflare, Inc.
1151.101.66.137United States
AS54113Fastly, Inc.
159--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A520A0C20B209914623D2E5BB9762487635D46BF912C86C73FD8B197F9ED8AF8B315C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:s5ytzDsyJj/zAakemLrhQpC40f4pUMjWmyP5329eBrZyKZnqiiUDHsf5JV/VX04/:amrATrapP0rMCbPB2MJZqiiUDH2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13667:IiwEC5DTY2UUYAAQGHZCFpQgJCKxINEQPOCowJCPDiAUBQIQI8xpKnFhMhApAuBgAAaqAi1EQEXISBYgo4aKCsQCKADsxIYp

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:ffff800000ffffff
Perceptual Hash:ff6180887f4d8936
Difference Hash:200c6a4949210400
Wavelet Hash:3f030000007bffff
Color Hash:#27931f

Other Hashes

Crop Resistant:200c6a4949210400

Scan History

Scan history not available

Unable to load historical scan data