Security Scan Report: project-bffs-e9d4vm5yx7.edgeone.app

Submitted: Mar 20, 2026, 11:06:29 PMCompleted: Mar 20, 2026, 11:07:41 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is project-bffs-e9d4vm5yx7.edgeone.app and was registered NaN years ago.

Submitted URL: https://project-bffs-e9d4vm5yx7.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: 85%

8
Risk Score

Login page with a password‑only field on a newly created subdomain; likely credential phishing.

Risk Factors
Credential harvesting form (password‑only field)
New/unknown subdomain on a free hosting platform
Domain age information unavailable

Details

Page Title

NU Project PAWS - Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(45%)

Domain Information

Within the application-focused generic top-level domain (.app), 'project-bffs-e9d4vm5yx7.edgeone.app' is registered; it also runs on subdomain 'project-bffs-e9d4vm5yx7'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Word splitting yields 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://project-bffs-e9d4vm5yx7.edgeone.app/

Page Load Overview

0.84s
Total Load Time
12
HTTP Requests
1
Domains
672 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:116 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
45%
technology software
40%
cryptocurrency blockchain
38%
news media journalism
36%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1243.152.26.58Singapore
121--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D121EB5588F848A7220394A858F2ED293EC9C627D7554D143BFC09E92FD3F8A888B05D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRWctTCu7EoVXzGqVNwuQ6N9uuOsxR2aNmDIEw6ZVg:TWc97LVXzLKV6HLHZTx9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1260:AAAgABgAAQAAAABAAEARAEQgAAAAABAAEQAAAAAAAQAAAAAABAAGBAAgAAAABBAAAAAIACAAgAAhQAAwAAIAAAAAkAAAIgCA

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:001a381a18181800
Perceptual Hash:9d85723667c9c962
Difference Hash:ceb6f2f2b2b2b0cc
Wavelet Hash:1e3e7e3e3e1e1c00
Color Hash:#39862d

Other Hashes

Scan History

Scan history not available

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