ScanMalware.com

Security Scan Report: app.perpay.com

Redirected to:
https://app.perpay.com/login/
Site favicon
Submitted: Sep 8, 2026, 3:13:19 PMCompleted: Sep 8, 2026, 3:15:08 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a9add531-69dc-466c-9bbd-30c8c571c5f1Domain and IP registration (RDAP)/api/v1/rdap/a9add531-69dc-466c-9bbd-30c8c571c5f1Certificate Transparency/api/v1/ct/app.perpay.comHow often this domain was scanned/api/v1/domain/stats/app.perpay.comScan history for this domain/api/v1/domain/history/app.perpay.com?limit=15

This website contacted 36 IPs in 3 countries across 25 domains to perform 423 HTTP transactions. The main domain is app.perpay.com and was registered 30 years ago.

Submitted URL: https://app.perpay.com

Effective URL:

https://app.perpay.com/login/
Redirected

The Cisco Umbrella rank of the primary domain is #134,191 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears to be the legitimate Perpay login with no malicious indicators.

Safety Factors (4)
Official brand subdomain
Long‑standing domain registration
Only informational IDS alert (INFO level)
No malicious scripts or external credential harvesting
Domain age information unavailable

Details

Page Title

Perpay | Login

Scan Type

public

Domain Name Analysis

You're looking at domain 'app.perpay.com' on the commercial generic top-level domain (.com) with subdomain 'app'. The core label 'perpay' covers 6 characters containing two vowels alongside four consonants. Word splitting yields 2 words: per, pay. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.perpay.com

Page Load Overview

16.04s
Total Load Time
4.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:159 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking75% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
75%
e-commerce shopping
63%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38142.251.127.97Google · CDNUnited States
AS15169Google LLC
1199.84.152.118Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1154.192.35.71Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
11142.251.151.119Google · CDNUnited States
AS15169Google LLC
1154.192.35.86Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1154.192.35.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1154.192.35.47Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
113.174.46.6Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
42336--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184E26328B119425E13054F13F9C2AC39AF81F64ECE26D5B2E0AF13ED6B66F854C9D41B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:smCYWu4YaOtVRwyrPk8YkjcV1PJR1cntHTrP2:4YWu4YbaR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31612:HWCh2xIpqEQuEX6BGJGwTIAoA6TBClgjI0DMADIEASgCBzACkEABaBaGIKCAleHIyMFCFgYpATnAQr0lVnCJNSKtAiIwRAkA

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:6fefffe7e7ffe7ff
Perceptual Hash:b399992666cccc66
Difference Hash:880a324c4d320c00
Wavelet Hash:58481818c0f0fcfc
Color Hash:#75e06c

Other Hashes

Crop Resistant:880a324c4d320c00

Scan History

Scan history not available

Unable to load historical scan data