Security Scan Report: www.claim-hadiah.vercel.app

Redirected to:
https://claim-hadiah.vercel.app/
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Submitted: Aug 21, 2026, 12:45:09 PMCompleted: Aug 21, 2026, 12:46:31 PMpubliccompleted

This website contacted 9 IPs in 3 countries across 11 domains to perform 27 HTTP transactions. The main domain is claim-hadiah.vercel.app and was registered 6 years ago.

Submitted URL: http://www.claim-hadiah.vercel.app/

Effective URL:

https://claim-hadiah.vercel.app/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site impersonates the DANA brand but lacks credential collection; treat as moderate‑risk and avoid providing personal data.

Risk Factors (3)
Brand impersonation without credential collection
Unranked / low‑reputation domain
Hosted on a free subdomain platform (vercel.app) with unknown age
Safety Factors (3)
No password, payment, or disguised password fields
No malicious JavaScript or network‑based credential exfiltration
No IDS or Safe Browsing alerts
Domain age information unavailable

Details

Page Title

𝑺𝑰𝑳𝑨𝑲𝑨𝑡 𝑼𝑡𝑻𝑼𝑲 𝑫𝑰𝑷𝑰𝑳𝑰𝑯 𝑯𝑨𝑫𝑰𝑨𝑯 𝑨𝑡𝑫𝑨

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.claim-hadiah.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.claim-hadiah'. Count 6 characters in 'vercel' with two vowels and four consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.claim-hadiah.vercel.app/

Page Load Overview

2.74s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡¨πŸ‡³Chinese
Code: zh
Confidence:7%
Script:Han
Direction:ltr

Detection Details

Text Length:114 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
68%
finance banking
50%
government public service
48%
adult content
45%
news media journalism
38%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.17.24.14Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
3216.198.79.131United States
AS16509Amazon.com, Inc.
3192.178.183.132Google Β· CDNUnited States
AS15169Google LLC
3216.198.79.67United States
AS16509Amazon.com, Inc.
32.16.10.140Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
343.159.95.39Singapore
3142.251.20.95Google Β· CDNUnited States
AS15169Google LLC
3172.67.164.154Cloudflare Β· WAFUnited States
AS13335Cloudflare, Inc.
3185.199.108.153United States
AS54113Fastly, Inc.
279--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CC2D9A5668410056323D2D5BAEB5B8D33398003DA06CD6DB6FD30999F8ABFC80B7755

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:XEQrxF7/OSBGv5x6+jcucuymdFyzrpDa+C9k+nSy4Nk9Gs90s90v/R/XtFB4qR:XEtcTuy60M+C9jnS0As6s6v/Rn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26035:IpRIBEk24AK1ZCa8GASEwUAEUAVJAAAQIE2nAgKbsAQYQV1CMqwgWhEMDiIkhuFoeFG0ATAKIASMkYAGLMAF68kMDDEIAAHB

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:000000e7e7ffe7ff
Perceptual Hash:a75c09a7de275826
Difference Hash:408c304c4dcecece
Wavelet Hash:000000e7e7e7e7ff
Color Hash:#79d2ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data