Security Scan Report: inform.sytes.net

Redirected to:
https://inform.sytes.net/
Submitted: Apr 1, 2026, 4:41:31 PMCompleted: Apr 1, 2026, 4:42:41 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is inform.sytes.net and was registered NaN years ago.

Submitted URL: http://inform.sytes.net/

Effective URL: https://inform.sytes.net/Redirected

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

Nextcloud

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(62%)

Domain Information

You're looking at domain 'inform.sytes.net' on the network infrastructure generic top-level domain (.net); it also runs on subdomain 'inform'. Count 5 characters in 'sytes' holding one vowel versus 4 consonants. Splitting it apart reveals two words: sy, tes. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://inform.sytes.net/

Page Load Overview

1.51s
Total Load Time
8
HTTP Requests
1
Domains
121 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:436 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%
documentation technical
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8178.68.192.154Ukhta, Komi, Russia
AS12389Rostelecom
81--

Page Statistics

8
Requests
1
Unique Domains
142.9 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120925A4B008A0EFDFA1A494712ECB43D43EF6C923995108DD3EF0C9D0186D9BB1A95AF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:wII1po9P1bmVkJIzgxdComs1iDseBrURSTElrD8QtRKU8hbfUveOgR:wII1AbmVexdC8grBrURLtAfUI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20891:TQ4CUkhD2lNAMCgHISzYoESUJcgmtmAAmEgJgABQVkIQYC+M5AJjIRUBwALEgAKzXQgSgrAKcJocBIAwCqWTgCKYCkJIkkKB

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:00183c38387ec100
Perceptual Hash:cb9838e13cb2cb1e
Difference Hash:96f169e1e1c08f33
Wavelet Hash:007c7c7cfcfee100
Color Hash:#712d86

Scan History

Scan history not available

Unable to load historical scan data