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
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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

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 400 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

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--

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