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Security Scan Report: www.ddpay-support-help-line-support-sec-lime.vercel.app

Redirected to:
https://ddpay-support-help-line-support-sec-lime.vercel.app/
Submitted: Sep 8, 2026, 12:45:23 AMCompleted: Sep 8, 2026, 12:48:00 AMpubliccompleted

Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is ddpay-support-help-line-support-sec-lime.vercel.app and was registered 10 years ago.

Submitted URL: https://www.ddpay-support-help-line-support-sec-lime.vercel.app/

Effective URL: https://ddpay-support-help-line-support-sec-lime.vercel.app/Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

The page hosts a credential‑collection form on an unranked, age‑unknown subdomain without brand impersonation; moderate risk.

Risk Factors
Unranked / low‑reputation domain
Unknown subdomain age on shared hosting platform
Credential collection form on a newly created subdomain
Domain age information unavailable

Details

Page Title

DDPay

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(37%)

Domain Information

The domain name 'www.ddpay-support-help-line-support-sec-lime.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.ddpay-support-help-line-support-sec-lime'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ddpay-support-help-line-support-sec-lime.vercel.app/

Page Load Overview

8.47s
Total Load Time
7
HTTP Requests
4
Domains
630 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
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
364.29.17.131United States
AS16509Amazon.com, Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
1195.154.239.25Paris, Île-de-France, France
AS12876Scaleway SAS
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1195.154.239.27Paris, Île-de-France, France
AS12876Scaleway SAS
75--

Page Statistics

7
Requests
4
Unique Domains
638.0 KB
Total Size

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EAB285AA3AFB14116A8364B66BE757453635C003990ACD583F9C5389CF97F9086B37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:E9yC9gGsoQmQKoUF3lFZOk9HVOtHeWe8B7eB:E9rgGYKO0HVOtH6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25701:CAQKiEaMBAILTwDOCNREEgLRQEEgIIJmfAVJMCQZKwRIBhZiBFQZ4UkkAbgACSCk8BKpaUhC5BGoBAAdOAEB1ogAljGoiSgg

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:#55931f

Other Hashes

Crop Resistant:10080810304d4c30

Scan History

Scan history not available

Unable to load historical scan data