Security Scan Report: fineapptech.com

Submitted: Jul 31, 2026, 12:07:13 PMCompleted: Jul 31, 2026, 12:09:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is fineapptech.com and was registered NaN years ago.

Submitted URL: https://fineapptech.com

The Cisco Umbrella rank of the primary domain is #244,597 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

406 Not Acceptable

Scan Type

public

Language

🇷🇴

RO

(29% confidence)

Category

unknown

(0%)

Domain Information

Domain 'fineapptech.com' uses the commercial generic top-level domain (.com). Its registrable label 'fineapptech' stretches across 11 characters holding four vowels versus seven consonants. Tokenizing the label suggests three words: fine, app, tech. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fineapptech.com

Page Load Overview

1.61s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇷🇴Romanian
Code: ro
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ro
Detection Confidence:29%
Script Type:Unknown
Text Length:43 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2183.111.161.88South Korea
AS4766Korea Telecom
21--

Page Statistics

2
Requests
1
Unique Domains
0.6 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CF0F0EFAF11347B2E238170F8C36168CF640957EB9925D28349211FB2CA00188B1FA9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxC9bxWHiHklKlIgr8IHTF83TF83TF83TF83TF83TFf:kA9GNELTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:560:AAAAAEAAAAAAAAAABAAAAAAABAAAAAgAAAAAAAACAIAAAAAAAAAAAAIAAAQAAAAAAAAAgAACAAAAAACAAAgAAAAAAAgAAAAA

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:00ffffffffffffff
Perceptual Hash:e666666666666626
Difference Hash:0c00000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#6b3a78

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data