Security Scan Report: s1.studylibit.com

Submitted: Jan 28, 2026, 11:07:22 PMCompleted: Jan 28, 2026, 11:09:07 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 s1.studylibit.com and was registered NaN years ago.

Submitted URL: https://s1.studylibit.com

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain is over 8 years old
No credential or payment collection forms
No malicious Indicators of Compromise detected
Page returns 404, indicating no active malicious content
Absence of suspicious redirects or external links
Domain age information unavailable

Details

Page Title

HTTP Status 404 – Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(55%)

Domain Information

Within the commercial generic top-level domain (.com), 's1.studylibit.com' is registered, featuring subdomain 's1'. Count 10 characters in 'studylibit' holding 3 vowels versus seven consonants. Segmentation suggests 3 words: study, lib, it. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://s1.studylibit.com

Page Load Overview

0.50s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:234 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software55% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
55%
documentation technical
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.96.3United States
21--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10101FE2DC20B1116BCFA086734A03EA83C5C899356B30728F8A095B8D7868F99B6138C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRuxVDEeR/gH/sI0llokRt/Jq5e/mvRDEete7Xei4Obzmaj:hRuxZR/gkrlllRt/qee9WehAzmI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:678:AAEAAAgAAAACAAAAEAAAAAAAgAAAAAAACAAAAAAAAAAMAAAAAAAAAAAAAAAAAACACAAAAAQAgAACAAIAAAQABAAAIAAAAAAA

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:0000ffffffffffff
Perceptual Hash:b878787878787878
Difference Hash:3121000000000000
Wavelet Hash:0000ffff0f0f0f0f
Color Hash:#87c5b5

Other Hashes

Scan History

Scan history not available

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