Security Scan Report: funny-blush-vvnfkpsfbe-qmcv29toup.edgeone.dev

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Submitted: Dec 4, 2025, 10:32:42 AMCompleted: Dec 4, 2025, 10:33:35 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 4 domains to perform 7 HTTP transactions. The main domain is funny-blush-vvnfkpsfbe-qmcv29toup.edgeone.dev.

Submitted URL: https://funny-blush-vvnfkpsfbe-qmcv29toup.edgeone.dev/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Phishing login page impersonating DALI Grocery on a suspicious, likely new domain.

Risk Factors
Brand impersonation on suspicious domain
Login form collecting credentials
Newly registered / unaged domain
Unranked domain with no established reputation
Domain age information unavailable

Details

Page Title

DALI Grocery Super App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(41%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'funny-blush-vvnfkpsfbe-qmcv29toup.edgeone.dev' is registered with subdomain 'funny-blush-vvnfkpsfbe-qmcv29toup'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Segmentation suggests 2 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://funny-blush-vvnfkpsfbe-qmcv29toup.edgeone.dev/

Page Load Overview

0.23s
Total Load Time
7
HTTP Requests
4
Domains
88 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:1,302 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software41% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
41%
finance banking
40%
e-commerce shopping
30%

Detected Features

Login Form
Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.174.246.29Singapore
2104.18.1.22United States
AS13335CLOUDFLARENET
1188.114.97.3United States
AS13335CLOUDFLARENET
195.100.158.82Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0188.114.96.3United States
AS13335CLOUDFLARENET
0104.18.0.22United States
AS13335CLOUDFLARENET
043.174.247.29Singapore
095.100.158.25Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02606:4700::6812:116United States
AS13335CLOUDFLARENET
02a02:26f0:7100::1720:eec2Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
714--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18823D795A1F2183600B755B9BBD387C53C70C603CA8D98967EAC91D48F8EE964D7378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:J/TFFXcTOEvAan1kHeWi5oOYWmT1bMZ/n6ZmkruZ65iyYfLE3qc8qlDoc:5TFFXcTHv51FHpBAmfga+L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48310:JTIMDvXAFCUJFPwgAIYKAAFgCdAQ0AiRiAIAAfyhmPBGk6aaGjwjCbgRmgmIAYQgCBYoEZJDg8ogDxDqgChGEzjkRYAEZREC

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:e7e7efffff0000ff
Perceptual Hash:f7f33222952ac8d4
Difference Hash:4c4c4cce80715500
Wavelet Hash:e6e6e67e7e0000e6
Color Hash:#3ad22d

Scan History

Scan history not available

Unable to load historical scan data