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Security Scan Report: univebblog-dpsnlss1n9zj.edgeone.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0cbc28c7-56fd-4cda-a181-dd6bf7878068Domain and IP registration (RDAP)/api/v1/rdap/0cbc28c7-56fd-4cda-a181-dd6bf7878068How often this domain was scanned/api/v1/domain/stats/univebblog-dpsnlss1n9zj.edgeone.appScan history for this domain/api/v1/domain/history/univebblog-dpsnlss1n9zj.edgeone.app?limit=15
This website contacted 6 IPs in 2 countries across 14 domains to perform 35 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://univebblog-dpsnlss1n9zj.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: 80%

7
Risk Score

Page impersonates Air Canada brand on an unknown subdomain, presenting high‑risk brand phishing despite lacking login forms.

Risk Factors (4)
Brand impersonation without matching domain
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Absence of legitimate brand ownership verification
Domain age information unavailable

Details

Page Title

air canada contest

Scan Type

public

Domain Name Analysis

The domain 'univebblog-dpsnlss1n9zj.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'univebblog-dpsnlss1n9zj'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://univebblog-dpsnlss1n9zj.edgeone.app/

Page Load Overview

1.41s
Total Load Time
723 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:1,647 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
92%
government public service
41%
documentation technical
33%
adult content
30%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.21.0.120United States
AS13335Cloudflare, Inc.
5142.251.20.95United States
AS15169Google LLC
5172.240.108.68United States
AS7979Servers.com, Inc.
5150.171.27.11United States
AS8075Microsoft Corporation
5101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
5150.171.28.10United States
AS8075Microsoft Corporation
356--

Detected Technologies3

Open-Graph-Protocolvwebsite
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EFA2F8A757D80A3C639203866081B6FC643FBD02EB62C9F5B8777358DAC9ED75522132

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:74hnYf8zX+9+kBrcRocJbNnQxtDecPFbHVqyu1LRaGK4gEonmiOLIp8eMSVQGXBu:74hnz+9+kBrcRoc1W991qySLfNgq+/Vq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22800:BwpIBcEmXBgQyqKEBDhvnogiKSxjQFUOkZAIIKYjqUBAYVgwRjEgggE5YAwsgHJg4TIqQc3QUApEqCsCTbowKIQNCQhwzC8Z

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data