Security Scan Report: authmail.edgeone.app

Redirected to:
blob:https://authmail.edgeone.app/becc1504-ea56-4121-9789-5a7afd036925...
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 3 countries across 6 domains to perform 9 HTTP transactions. The main domain is edgeone.app and was registered 3 years 6 months ago.

Submitted URL: https://authmail.edgeone.app/#c3VrQHV0aWEuY2FzLmN6

Effective URL:
blob:https://authmail.edgeone.app/becc1504-ea56-4121-9789-5a7afd036925...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Phishing page impersonating 'Utia Mail' (utia.cas.cz) on a free edgeone.app subdomain; it prefills a victim email from a base64 URL token and captures a password in a login form.

Risk Factors (5)
Brand impersonation of an institutional mail service (Utia Mail / utia.cas.cz) on a non-official domain
Credential-harvesting login form with password field on a shared hosting-platform subdomain
Base64 email in URL whose domain differs from the hosting domain — phishing kit tracker pattern
Prefilled victim email address taken from the URL token rather than any session context
Inconsistent authentication messages suggesting a generic credential-capture template
Domain age information unavailable

Details

Page Title

Mail

Scan Type

public

Domain Name Analysis

The domain name 'authmail.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'authmail'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://authmail.edgeone.app/#c3VrQHV0aWEuY2FzLmN6

Page Load Overview

1.46s
Total Load Time
516 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:70%
Script:Latin
Direction:ltr

Detection Details

Text Length:111 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical42% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
42%
phishing scam
35%
technology software
35%
healthcare medical
32%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.174.247.29Singapore
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1104.18.54.45Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.66.36.4Brno, South Moravian, Czech Republic
AS59925Seonet Multimedia s.r.o.
1104.18.50.34Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB43A0722D1D16406F0389EBFAAB6F546C5C80835326E9ED720D6784FFC269C16EB325

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sXTly9g3lqlPvXUQv0FP8s20dVa1Dnop58Lx6B+QPRTZ2:6JyolqlPMu0FP8s20jcg5JTE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59896:oUAAYl1hC3KgsAEACQCFZsApkEm8IVsBVVIioREClsgUTxCbIQUyApwjKXQDAEBPgIABB7GBBlKADMCiwhZkUGIDARMAys0g

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:0000b2b2b2b23008
Wavelet Hash:00003c3c38382020
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data