Security Scan Report: nextcloud.mark-app.io

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Submitted: Feb 21, 2026, 12:49:24 PMCompleted: Feb 21, 2026, 12:50:44 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is nextcloud.mark-app.io and was registered NaN years ago.

Submitted URL: https://nextcloud.mark-app.io/login

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate site with a standard login form; no malicious indicators detected.

Safety Factors
Well‑established domain (>3 years old)
Standard hosting (no IPFS or cloud storage)
No cross‑origin credential exfiltration
No noindex meta tag
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

nextcloud.mark-app.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

Domain 'nextcloud.mark-app.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'nextcloud'. The core label 'mark-app' covers 8 characters containing 2 vowels alongside 5 consonants, along with one hyphen. Word splitting yields 2 words: mark, app. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nextcloud.mark-app.io/login

Page Load Overview

4.32s
Total Load Time
24
HTTP Requests
1
Domains
210 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:223 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
55%
real estate property
29%
corporate
25%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2418.133.102.39City of London, England, United Kingdom
AS16509Amazon.com, Inc.
241--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A048F77329A063985558498E05B830D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8Old9:thoC9JSqzzbs6o3Sj3gcrs82eAD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184511:K0QnaiIiBGAgSgCNglQTpCAhYACIgMI4iBZIAA5JxEgEVFIw8teFUqACgChpiDgBAKAVUAC4sBfAHNQFDABASLQAAoSBKwTD

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc273333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#d279a4

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data