Security Scan Report: yodelling-amber-kq3kjble-dp5szi71p3st.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 5 domains to perform 8 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://yodelling-amber-kq3kjble-dp5szi71p3st.edgeone.dev/

AI Security Verdict

Low Risk

Confidence: 74%

2
Risk Score

Harmless short prank/greeting page on a free hosting subdomain; no forms, no impersonation, no malware or network indicators. Only a single-source generic IP reputation tag, which is not content evidence.

Safety Factors (4)
No forms or input fields, so no credential or payment harvesting is possible
No brand impersonation β€” page uses no other organisation's name, logo or login
No obfuscated or malicious JavaScript; no external script contacted another domain
No Safe Browsing, hunting rule, kit-roster or IDS malicious findings
Domain age information unavailable

Details

Page Title

Be My Girlfriend πŸ’˜

Scan Type

public

Domain Name Analysis

You're looking at domain 'yodelling-amber-kq3kjble-dp5szi71p3st.edgeone.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'yodelling-amber-kq3kjble-dp5szi71p3st'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Owd ErA 32 Aysha, will you be my madam jii? kutta na koile thabor marmu shuyor fr

Page Load Overview

1.47s
Total Load Time
55 KB
Total Size

Language Analysis

Primary Language

🏳️SO
Code: so
Confidence:46%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:154 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as so

All Detected Languages

🏳️so(87%)πŸ‡ΊπŸ‡Έen(12%)πŸ‡¨πŸ‡³zh(0%)

Website Classification

Primary Category

adult content86% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
86%
healthcare medical
78%
news media journalism
59%
finance banking
56%
government public service
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
043.174.246.29Singapore
0142.251.13.95Google Β· CDNUnited States
AS15169Google LLC
0104.16.180.112Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
0142.251.110.94Google Β· CDNUnited States
AS15169Google LLC
054.192.35.39Cloudfront Β· CDNUnited States
AS16509Amazon.com, Inc.
0142.250.154.95Google Β· CDNUnited States
AS15169Google LLC
0142.251.20.94Google Β· CDNUnited States
AS15169Google LLC
054.192.35.57Cloudfront Β· CDNUnited States
AS16509Amazon.com, Inc.
89--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1700295BF96930011721B81E17BA707942574AA03A657CDB83BEDA205DFC0CB9A793778

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrOQcXLyTxZZmBfpcENNMYw/ceLjvD8lyK8WiKQLRoNARgH6M7C7tsWauW0gbPpi:BrCGhC4XDWVu2sqWauLgbPpcYn5fbB2V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8641:NAWQSABIBYMIA0hQwtiQ6AeJVgAYBEACSAmSlB4gY0JJcUNRgITmIA6AFnqwAUPBESQYSGDUFkgKIFGABBpGEQbQoIAxoZMr

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:ffffe7e7c7e7e7df
Perceptual Hash:b32acc89316673d9
Difference Hash:42924d4c4a4cccb0
Wavelet Hash:3f1f4503470666de
Color Hash:07000180000

Other Hashes

Crop Resistant:42924d4c4a4cccb0

Scan History

Scan history not available

Unable to load historical scan data