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Security Scan Report: claim-nodes.firebaseapp.com

Submitted: Oct 26, 2025, 3:55:58 PMCompleted: Oct 26, 2025, 3:56:57 PMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is claim-nodes.firebaseapp.com.

Submitted URL: https://claim-nodes.firebaseapp.com/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Site shows no active threats but is a new, unranked Firebase subdomain; monitor for future changes.

Risk Factors
New, unranked domain hosted on a generic cloud platform (firebaseapp.com)
Use of well‑known blockchain terminology (e.g., WalletConnect) on a non‑official domain
Safety Factors
No forms collecting passwords, payment details, or personal identifiers
No external links to suspicious domains
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Decentralized Protocol F

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(63%)

Domain Information

Domain 'claim-nodes.firebaseapp.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'claim-nodes'. The second-level label 'firebaseapp' is 11 characters long with 5 vowels and 6 consonants. Tokenizing the label suggests 3 words: fire, base, app. Average segment length settles at 4 characters. Most frequently, 'fire' shows up in Danish. It also appears in Norwegian and Chinese (Pinyin) contexts. Overall, 'claim-nodes.firebaseapp.com' reads as Danish.

Screenshot

Security scan screenshot of https://claim-nodes.firebaseapp.com/

Page Load Overview

34.53s
Total Load Time
9
HTTP Requests
4
Domains
305 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:1,175 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain63% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
63%
technology software
46%
cryptocurrency
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9199.36.158.100United States
AS54113FASTLY
052.222.236.76United States
AS16509AMAZON-02
0142.250.181.227United States
AS15169GOOGLE
0142.250.186.106United States
AS15169GOOGLE
02a00:1450:4001:831::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a00:1450:4001:82f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
02600:9000:223e:4400:b:b8a:4e40:93a1United States
AS16509AMAZON-02
02600:9000:223e:6000:b:b8a:4e40:93a1United States
AS16509AMAZON-02
02600:9000:223e:8200:b:b8a:4e40:93a1United States
AS16509AMAZON-02
02600:9000:223e:4800:b:b8a:4e40:93a1United States
AS16509AMAZON-02
918--

Detected Technologies3

HTTP/3
40%
HSTS
40%
Firebase
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182030871071825EE1023479D76F4E75DD3BD3BA4F13A5418EE3E85E2228F940EA27DA2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Ex3k3GqnGDobG69QKBYGAuBrcWvickIagO8rOv7BIittkHyCbbdzWFO8rOv7BIiu:AgnGDukIZEIitCHyyzOEIitCHyySs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38459:bKxAwMZiBATBJUBDEECgEOaDLDHMuUwAhA1rAeVkGwiIAYAACtgRAiJOpIKCI6AQxxgUgQ5EB5RAWIGMxAwAgElAhiCAQKHN

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:067c243c20007038
Perceptual Hash:ce31ce31ce319c35
Difference Hash:d4c9c5f1c5d1c165
Wavelet Hash:037d3d3d3d017139
Color Hash:#b679d2

Other Hashes

Crop Resistant:8000a44a62727232,d4c9c5f1c5d1c165

Scan History

Scan history not available

Unable to load historical scan data