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Security Scan Report: umc.egnyte.com

Redirected to:
https://umc.egnyte.com/subDomainLogin.do#username
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Submitted: Jun 20, 2026, 1:07:03 PMCompleted: Jun 20, 2026, 1:08:42 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 8 domains to perform 107 HTTP transactions. The main domain is umc.egnyte.com and was registered NaN years ago.

Submitted URL: https://umc.egnyte.com

Effective URL: https://umc.egnyte.com/subDomainLogin.do#usernameRedirected

The Cisco Umbrella rank of the primary domain is #10,125 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk legitimate login page for Egnyte's UMC service.

Safety Factors
Established brand (Egnyte) with official subdomain
Long registration history (>20 years)
No malicious external links or IoC hits
No credential exfiltration or suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Log in to UMC

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

e-commerce

(80%)

Domain Information

The domain name 'umc.egnyte.com' uses the commercial generic top-level domain (.com) with subdomain 'umc'. Its registrable label 'egnyte' stretches across 6 characters containing 2 vowels alongside 4 consonants. Splitting it apart reveals 3 words: e, gny, te. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://umc.egnyte.com

Page Load Overview

25.47s
Total Load Time
107
HTTP Requests
8
Domains
182 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
Text Length:3,384 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce80% confidence
Type: spa
Method: structural

All Detected Categories

e-commerce
80%
social_media
50%

Detected Features

Login Form
Search
Payment
Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
935.186.225.159United States
AS396982Google LLC
913.226.244.110United States
AS16509Amazon.com, Inc.
9142.251.14.94United States
AS15169Google LLC
9162.216.249.231United States
AS396982Google LLC
952.34.47.146Boardman, Oregon, United States
AS16509Amazon.com, Inc.
9142.251.20.97United States
AS15169Google LLC
913.226.244.101United States
AS16509Amazon.com, Inc.
952.26.171.52Boardman, Oregon, United States
AS16509Amazon.com, Inc.
9142.251.20.94United States
AS15169Google LLC
10711--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8C3D87199BD1C73118345E5B5B8A70A64EE8A3AC2038885F5FFD6E81FCBD88D9270C5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sMg5d5t4ab7bsD3sOdJD7Pks7ZCfmZq8OmbLw2mUG8YLvoeUneD33N:svD56iQDDb72aq3uEqfYLLsez3N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123826:kAhTBFRIgDgA7yaChVDQLEEPwKqAxLBSwIIAXNkBgFkA2GElLQZA4AQBAQBVvAGmdgtAgBQCpAAloAC6ggTQIZ5IBImt4BmK

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:00ffe7e7ffffff00
Perceptual Hash:a27708dd017723dd
Difference Hash:0c080c0c000800a0
Wavelet Hash:00e727270f0fff00
Color Hash:#d2799a

Other Hashes

Crop Resistant:0c080c0c000800a0

Scan History

Scan history not available

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