Security Scan Report: bored-amber-bnnpiyyq7m-2ptoijsg07.edgeone.app

Submitted: Feb 25, 2026, 11:17:04 PMCompleted: Feb 25, 2026, 11:18:25 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is bored-amber-bnnpiyyq7m-2ptoijsg07.edgeone.app and was registered NaN years ago.

Submitted URL: https://bored-amber-bnnpiyyq7m-2ptoijsg07.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Suspicious invoice page on a newly created subdomain likely used for payment fraud.

Risk Factors
Unknown domain age on a free hosting subdomain
Payment request via QR code on an untrusted domain
Cross‑origin network request to an external billing endpoint
Domain age information unavailable

Details

Page Title

Invoice #419790042

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(34%)

Domain Information

Within the application-focused generic top-level domain (.app), 'bored-amber-bnnpiyyq7m-2ptoijsg07.edgeone.app' is registered and includes subdomain 'bored-amber-bnnpiyyq7m-2ptoijsg07'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bored-amber-bnnpiyyq7m-2ptoijsg07.edgeone.app/

Page Load Overview

8.24s
Total Load Time
12
HTTP Requests
6
Domains
159 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:831 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking34% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
34%
cryptocurrency blockchain
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
2190.92.211.146Singapore, Singapore
AS136907HUAWEI CLOUDS
2104.17.24.14United States
AS13335Cloudflare, Inc.
2142.251.208.22Unknown
2147.139.243.210Jakarta, Jakarta, Indonesia
AS45102Alibaba US Technology Co., Ltd.
2104.18.11.207United States
AS13335Cloudflare, Inc.
126--

Detected Technologies4

JQueryv3.5.1
100%
Bootstrapv3.3.7
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B31283315A8C8B2B10031EC7707177DE709F9E32E46785EAB5F706185FC2D86AE26716

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:O0DOFu1SlT73XgHwDS8LSM/9fTBIFmOYVe/IhP+rq:O0DOE1Slf3XgHwZLSMVLBIFmOYY/iP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9838:BiISgKlA4GozFXuSKqcQpbIxgjBAKJQFAASagNQYSBFISQvGA7CgAQwUKJIDAcEjglFWABwgtEFgLFJDgYC1Lip2LVVMJWhk

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:007e7e7e7e7e7e7e
Perceptual Hash:957a2a2f6a2e2b2a
Difference Hash:b08a8a8eeaf2eaf2
Wavelet Hash:006666663e3e3e3e
Color Hash:#5e2d86

Scan History

Scan history not available

Unable to load historical scan data