Security Scan Report: shiny-octo-pancake-jnr-dpxs36pdbgzg.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://shiny-octo-pancake-jnr-dpxs36pdbgzg.edgeone.dev/

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Anonymous free-hosting page posing as a 'webmail portal' that asks only for an email password and carries an inline Telegram bot token to exfiltrate it. Classic credential phishing — never enter a password.

Risk Factors (5)
Password field without a username field — credential harvesting pattern
Credential exfiltration channel (Telegram bot token) embedded in page script
Anonymous disposable subdomain on a free hosting platform with unknown creation date
Generic 'webmail' credential prompt with no identifiable legitimate service behind it
Sensitive credential solicitation with no privacy policy, terms, or ownership disclosure
Domain age information unavailable

Details

Page Title

Webmail Portal

Scan Type

public

Domain Name Analysis

The domain 'shiny-octo-pancake-jnr-dpxs36pdbgzg.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'shiny-octo-pancake-jnr-dpxs36pdbgzg'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside three consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

логотип Вход в веб-почту Пожалуйста, подтвердите свои учетные данные электронной почты, чтобы продолжить Введите пароль проверять,

Page Load Overview

2.77s
Total Load Time
136 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:100%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ko
Text Length:170 chars
Detector Agreement:100%
Language mismatch: Declared as ko but detected as ru

Website Classification

Primary Category

government public service42% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
42%
news media journalism
35%
adult content
32%
phishing scam
32%
healthcare medical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
143.174.246.29Singapore
143.174.247.29Singapore
0104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
89--

Detected Technologies3

JQueryv3.6.0
100%
Bootstrapv4.5.2
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DFD20E8D76730C9CFC63513FE2AAB309E1909D27F54DDA18795C12846F80E9AD4E278D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:1akNZszqxlz9EQJHH1mWwjyP0GT7EI38FunosccFxwV8+dQ7FZ0RDIJUJu1xZDPT:/yGHgWwjyPv7EIZovCSLoFvB1xVwQA2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28523:gCCyKdImtQERQ5QBodIgGYgDFEJkxHcRIwBIHwuAVFIHAD4SQCq4AiGQjAAmBSthKAnBcIbqADBB5BDlDS4DIpSoC0ikATsA

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:0000181818180000
Perceptual Hash:99cc663399cccc99
Difference Hash:100cb2b2b2323008
Wavelet Hash:00001818dbdbe7ff
Color Hash:070000001c0

Other Hashes

Crop Resistant:100cb2b2b2323008

Scan History

Scan history not available

Unable to load historical scan data