Security Scan Report: lazpay-fe-kyc-module-file.oss-ap-southeast-1.aliyuncs.com

Submitted: Feb 27, 2026, 1:31:03 AMCompleted: Feb 27, 2026, 1:32:43 AMpubliccompleted
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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 lazpay-fe-kyc-module-file.oss-ap-southeast-1.aliyuncs.com and was registered NaN years ago.

Submitted URL: https://lazpay-fe-kyc-module-file.oss-ap-southeast-1.aliyuncs.com

The Cisco Umbrella rank of the primary domain is #2,381 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears to be a legitimate cloud storage endpoint returning an access denied error.

Safety Factors
Well‑established domain with over 13 years of age
High Cisco Umbrella ranking (top 10k)
Cloud storage endpoint returning standard AccessDenied response
No malicious JavaScript or network alerts detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(47%)

Domain Information

Within the commercial generic top-level domain (.com), 'lazpay-fe-kyc-module-file.oss-ap-southeast-1.aliyuncs.com' is registered and includes subdomain 'lazpay-fe-kyc-module-file.oss-ap-southeast-1'. Count 8 characters in 'aliyuncs' split between three vowels and five consonants. Segmentation suggests 3 words: ali, yun, cs. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lazpay-fe-kyc-module-file.oss-ap-southeast-1.aliyuncs.com

Page Load Overview

1.26s
Total Load Time
2
HTTP Requests
1
Domains
0 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:684 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
47%
technology software
42%
cryptocurrency blockchain
41%
healthcare medical
33%
finance banking
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
247.79.48.228Singapore
AS45102Alibaba US Technology Co., Ltd.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B661A4A5EAA306B29077C4E11AFF772632E6C03BD5966219E79C53888FCDE40B812D04

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:niFWN15AN427zKZjqwxczguVPAu4EguprLuD+euuiV7uuwid29tF:niFWN15eVGZMk8P94Edpr6D+7XVq4m7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3461:AKAAEAQEhBAAhEAINQGAgIAABEgIAAQgAASAJAACBoEAjAAAQEGPAZhAAAAEAAgCUBACABAAUClAASAACAADAAABEEgCAEEB

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:001fffffffffffff
Perceptual Hash:8c0c0c0f0f3f7b79
Difference Hash:f0e0000000000000
Wavelet Hash:001fcfcf00000000
Color Hash:#e08b6c

Other Hashes

Crop Resistant:f0e0000000000000

Scan History

Scan history not available

Unable to load historical scan data