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Security Scan Report: cbamboodefaultvalues-jjgf04rypb.edgeone.app

Submitted: Nov 19, 2025, 8:11:37 PMCompleted: Nov 19, 2025, 8:13:28 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 3 HTTP transactions. The main domain is cbamboodefaultvalues-jjgf04rypb.edgeone.app.

Submitted URL: https://cbamboodefaultvalues-jjgf04rypb.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

CBAM Cost Calculator | CBAMBOO

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

Domain 'cbamboodefaultvalues-jjgf04rypb.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'cbamboodefaultvalues-jjgf04rypb'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. It segments into two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cbamboodefaultvalues-jjgf04rypb.edgeone.app/

Page Load Overview

30.09s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:825 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
48%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58UnknownUnknown
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E955234DD085FA5BF9E58A1D844B36B8A1254070E9094CEFA4FD40F4B79E1F2B3DA29

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:DitOO6/2HdYPOlMQiPRp0XCG+xDy2muZz1sFcsOVbfs+uY542SWR4kURsvjKe267:YOO62HKsabfs+ua4kURsvjKW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1958657:lJjaHBhKIAQAgAoAAPJShAVQhB0AADoiFYbWUBUAlyCBMUG44QHVinaUBUoAQASDJOB1IokgwCg5tZgwHAgIEAAYAADs5SAD

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:0000ffffffffffff
Perceptual Hash:be3a3a6ae0958587
Difference Hash:1d1d70e064e4f0b0
Wavelet Hash:00003e7e367e3e7e
Color Hash:#8979d2

Other Hashes

Scan History

Scan history not available

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