Security Scan Report: jingquan.org

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Submitted: Jan 11, 2026, 1:19:58 AMCompleted: Jan 11, 2026, 1:21:22 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 27 HTTP transactions. The main domain is jingquan.org and was registered NaN years ago.

Submitted URL: https://jingquan.org/login

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing site impersonating Nextcloud, newly registered domain.

Risk Factors
Brand impersonation of Nextcloud on a newly registered domain
Credential harvesting form on a domain <30 days old
Unranked domain with no established reputation
Domain age multiplier applied (VERY_NEW)
Absence of legitimate brand verification
Domain age information unavailable

Details

Page Title

Nextcloud

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain 'jingquan.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The registrable portion 'jingquan' spans 8 characters containing 3 vowels alongside 5 consonants. Breaking it apart gives 2 words: jing, quan. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jingquan.org/login

Page Load Overview

5.66s
Total Load Time
24
HTTP Requests
1
Domains
118 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
24149.28.230.44Piscataway, New Jersey, United States
AS20473AS-VULTR
241--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AFA49E725D4238187F2BC12531DA2AEB5A2F7103DC72A68DA48E75840BFCCF4917B979

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:Xo9aLT8hxmUDq0Oo9aLTVUDq0OEeFlqk4TwM:Y9as9aB1M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:453112:WIKiAC6xVyG0cAUEQgidFEqBnEIcASQgFIyCtDKJ5qQINQHMUPA5SIMsEUExpNQolubABHgASIAERYHI4gZDaIUKCIQQqCuU

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:3f1f1f070f070301
Perceptual Hash:88c99c7276769999
Difference Hash:fff3b3efffffffff
Wavelet Hash:3f3f1f0f0f070303
Color Hash:#79b8d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data