Security Scan Report: 1.apse1.vbus.apps.ladesk.com

Submitted: Jan 3, 2026, 10:07:08 PMCompleted: Jan 3, 2026, 10:09:03 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 1.apse1.vbus.apps.ladesk.com and was registered NaN years ago.

Submitted URL: https://1.apse1.vbus.apps.ladesk.com

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Long‑standing domain (>14 years)
No malicious Indicators of Compromise detected
No credential or payment collection forms
Unranked status not a concern given established domain and lack of threats
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name '1.apse1.vbus.apps.ladesk.com' uses the commercial generic top-level domain (.com); it also runs on subdomain '1.apse1.vbus.apps'. Count 6 characters in 'ladesk' split between two vowels and 4 consonants. It segments into two words: la, desk. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://1.apse1.vbus.apps.ladesk.com

Page Load Overview

1.70s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:40 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
252.76.120.230Singapore, Singapore
AS16509AMAZON-02
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118F0BE9FAF12347B2E278571F4C32169CF680A67EB9D25D28749011F72CE04188F5FA9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxReRHbx0AqdtklIgrNHTF83TF83TF83TF83TF83TFf:kTeRHmAm8/TuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:541:AAAAAAAAAAABABCAAAQAABAAAAAAAAAAAAAAAAAAAACIAAAAIAAAAAAAAAAAAAAAAAAAAAAEAgAAAAAAAAAAAAAgAAAIAAAA

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:#785b3a

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data