Security Scan Report: ddpay-support-help-line45.vercel.app

Submitted: Sep 5, 2026, 12:45:19 PMCompleted: Sep 5, 2026, 12:47:36 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Page hosts a credential‑collection form on an unranked, unknown‑age Vercel subdomain; moderate risk.

Risk Factors (3)
Unranked subdomain on a free hosting platform
Unknown domain age
Credential collection form on a non‑official brand domain
Domain age information unavailable

Details

Page Title

DDPay

Scan Type

public

Domain Name Analysis

Domain 'ddpay-support-help-line45.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'ddpay-support-help-line45'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ddpay-support-help-line45.vercel.app/

Page Load Overview

8.53s
Total Load Time
638 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:248 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software37% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
37%
government public service
31%
finance banking
28%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1195.154.239.25Paris, Île-de-France, France
AS12876Scaleway SAS
1216.198.79.131United States
AS16509Amazon.com, Inc.
164.29.17.131United States
AS16509Amazon.com, Inc.
1195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
65--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B2C285AA3AFB14116A8364BA6BE757453635C003990ACD583F9C5389CF97F9086B37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:E9yC9gGZoQmfMKfUF3lFmOq9HVO09HgH4e8B76B:E9rgGW1HO2HVOEHgHF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26200:gBEAwASATMPcASOGAByAEcBBEINiAwqkBCwwQH8UkQOelBAQQEMJQcMjSbyngPAhLcqAfiwWggADAKIJILmEkQJGDJMQBCsA

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:ffe7e7ffffe7e7ff
Perceptual Hash:b399cc6699996689
Difference Hash:10080810304d4c30
Wavelet Hash:0f07071f2b232737
Color Hash:#50862d

Other Hashes

Crop Resistant:10080810304d4c30

Scan History

Scan history not available

Unable to load historical scan data