Security Scan Report: jinecolab.com

Submitted: Mar 15, 2026, 10:48:32 PMCompleted: Mar 15, 2026, 10:49:56 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 24 HTTP transactions. The main domain is jinecolab.com and was registered NaN years ago.

Submitted URL: https://jinecolab.com/login

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

New, unranked domain impersonating Nextcloud login page; confirmed credential phishing – avoid and report.

Risk Factors
Brand impersonation (Nextcloud) on a non‑official domain
Domain age < 7 days with credential‑harvesting form
Unranked domain with low reputation
Password field present without any legitimate site context
Domain age information unavailable

Details

Page Title

Login – Nextcloud

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

You're looking at domain 'jinecolab.com' on the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'jinecolab' is 9 characters long with four vowels and 5 consonants. Word splitting yields 4 words: j, in, eco, lab. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jinecolab.com/login

Page Load Overview

4.62s
Total Load Time
24
HTTP Requests
1
Domains
325 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:283 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
38%
real estate property
27%
corporate
25%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
248.216.35.98Tokyo, Tokyo, Japan
AS45102Alibaba US Technology Co., Ltd.
241--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165358DF2A84835327927D719708F966A331BB1035D214B89D48E70890FFA7ED63B257E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:+yugE31hNZtB4b6chxpBOSabYKgPZtB4bSUDqNkg2EeFlqkX2oXzgFhTC:q33t3ctkCC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1151403:IkMEAhkRNEkJBSAoLh5AQSRRApVVGpwQEALhQ1ABG4qCtAQoqSeJEiGRAVQH0SGBIoAGBO2ZAECECQwwJvgUkwgAIVisgNNI

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:0018181818000018
Perceptual Hash:99996666999999cc
Difference Hash:0c32b2b2b20c0c32
Wavelet Hash:3c3c3c3c1c0c1c1c
Color Hash:#a0e06c

Scan History

Scan history not available

Unable to load historical scan data