Security Scan Report: mypmgrca-dpq4xiqwj2ki.edgeone.dev

Redirected to:
https://mypmgrca-dpq4xiqwj2ki.edgeone.dev/
Submitted: Oct 8, 2026, 1:45:05 PMCompleted: Oct 8, 2026, 1:45:39 PMpubliccompleted

This website contacted 9 IPs in 3 countries across 6 domains to perform 10 HTTP transactions. The main domain is mypmgrca-dpq4xiqwj2ki.edgeone.dev and was registered 8 years ago.

Submitted URL: http://mypmgrca-dpq4xiqwj2ki.edgeone.dev/

Effective URL:

https://mypmgrca-dpq4xiqwj2ki.edgeone.dev/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 85%

9
Risk Score

A generic 'Web Mail' login page on a throwaway edgeone.dev subdomain whose inline script carries a Telegram bot token for credential exfiltration — a credential-phishing kit. Do not enter any login details.

Risk Factors (4)
Generic 'Web Mail' credential form on a random-string subdomain of a free hosting platform, unrelated to any real mail provider
Inline JavaScript with a Telegram bot token capable of exfiltrating submitted credentials to an external chat
External request to ipinfo.io for visitor IP lookup, a common phishing-kit logging behaviour
No brand ownership, ranking or reputation ties the domain to any mail service it purports to be
Domain age information unavailable

Details

Page Title

Web Mail

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'mypmgrca-dpq4xiqwj2ki.edgeone.dev' is registered, featuring subdomain 'mypmgrca-dpq4xiqwj2ki'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Word splitting yields two 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 http://mypmgrca-dpq4xiqwj2ki.edgeone.dev/

Page Load Overview

0.82s
Total Load Time
179 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:85 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism46% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
46%
government public service
31%
healthcare medical
30%
phishing scam
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.174.247.29Singapore
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
143.174.246.29Singapore
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
109--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T101E1955B51F30466777390E827E3B7893A91A01BB401C8683E9C97C48F46E5999F3BDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:DMCVIy+SFkPaIQIQANcUmyXC8LZ8SpUiJjUKGZLsryzMNj:D/SSFecb8H1GAyY1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7148:gEsCAZagoYAiBAAJPOBTFDGBGqAWcIACKAVOIUUwMAsKClAHWECgiBg0AZiRzLGQgUBGMFgDsQAEBAIIRQABBAgAEvjBrwhg

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:3c3c000000000000
Perceptual Hash:999999cc66666666
Difference Hash:70704c2800000000
Wavelet Hash:ffffe7ff00000000
Color Hash:#d22d51

Other Hashes

Crop Resistant:70704c2800000000

Scan History

Scan history not available

Unable to load historical scan data