Security Scan Report: project54-xne95usqvf.edgeone.app

Submitted: Nov 27, 2025, 4:41:59 AMCompleted: Nov 27, 2025, 4:44:02 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is project54-xne95usqvf.edgeone.app.

Submitted URL: https://project54-xne95usqvf.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: 82%

8
Risk Score

Site likely used for credential harvesting; treat as high‑risk phishing.

Risk Factors
Credential‑harvesting password forms on a low‑ranking, likely new domain
Hidden password fields that may be used to capture credentials without user awareness
Low Cisco Umbrella ranking indicating poor reputation
Domain age information unavailable

Details

Page Title

Wireframes 54

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

suspicious phishing

(32%)

Domain Information

You're looking at domain 'project54-xne95usqvf.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'project54-xne95usqvf'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://project54-xne95usqvf.edgeone.app/

Page Load Overview

0.20s
Total Load Time
2
HTTP Requests
1
Domains
13 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:6,940 chars
Detector Agreement:100%

Website Classification

Primary Category

suspicious phishing32% confidence
Type: webapp
Method: ml+structural

All Detected Categories

suspicious phishing
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E83FC6151F218622293D494BAA68F0B3F80DB03C94F961477ED1BE85FCBC92DD6368D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qNdPEFHc/f+M3BuUnNIlJeDn7XVA856P3m1:4d4G3gEIjCV6u1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87329:BCDI1lE4WCUYDQQKTQhYUKmheNBFSGKpIjIIBRAmaEGSAEQMkAANRswBYCIpBAEJUEAEQ8bcKExBkK3gYLAKkICINJgAkABQ

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:ff3fbf0000fffff7
Perceptual Hash:af0f957078d0c51b
Difference Hash:607b4815150c2e2c
Wavelet Hash:3f013f0000f6fef6
Color Hash:#3e1f93

Scan History

Scan history not available

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