Security Scan Report: reminder-app.getsaber.site

Submitted: Jan 25, 2026, 8:33:26 PMCompleted: Jan 25, 2026, 8:35:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is reminder-app.getsaber.site and was registered NaN years ago.

Submitted URL: http://reminder-app.getsaber.site/assets/files/assets/css/mCSB_buttons.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate but the requested page is missing.

Safety Factors
Established domain age
No credential or payment forms
No malicious Indicators of Compromise
No external domains or redirects
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(57% confidence)

Category

technology software

(40%)

Domain Information

Domain 'reminder-app.getsaber.site' uses the .site top-level domain; it also runs on subdomain 'reminder-app'. The second-level label 'getsaber' is 8 characters long containing three vowels alongside 5 consonants. Breaking it apart gives 2 words: get, saber. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://reminder-app.getsaber.site/assets/files/assets/css/mCSB_buttons.html

Page Load Overview

3.85s
Total Load Time
4
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:134 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software40% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
40%
documentation technical
37%
adult content
36%
news media journalism
33%
healthcare medical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4103.29.214.199Indonesia
AS58377Sentra Niaga Solusindo, PT.
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111D0E75E504372430802046035C16581174D13FF702942AC2C81C443539813DCC83AC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:hLn0+1Q9xwGObRmEr6VnetdzRx3G0CezoIRxn+KzEcXaBmz:hb0+12xBeRmR9etdzRxGezHDn+QEmaBu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:6ec4677f35e32e7a6b647525f9b77ea9

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:003fffffffffffff
Perceptual Hash:870707030303ffff
Difference Hash:c060000000000000
Wavelet Hash:003fffff00000000
Color Hash:#53ac75

Other Hashes

Crop Resistant:c060000000000000

Scan History

Scan history not available

Unable to load historical scan data