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Security Scan Report: transfer-1usd-bep.vercel.app

Submitted: Jul 4, 2026, 12:45:07 PMCompleted: Jul 4, 2026, 12:46:38 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is transfer-1usd-bep.vercel.app and was registered NaN years ago.

Submitted URL: http://transfer-1usd-bep.vercel.app/

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site shows no malicious content but unknown subdomain age and circular redirects warrant caution.

Risk Factors
Unknown subdomain age
Circular redirect (moderate signal)
Unranked domain
Safety Factors
No forms collecting credentials or payments
Self‑branding matches the subdomain (no brand impersonation)
No malicious JavaScript or external resources detected
No high‑severity IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

transfer-1usd-bep.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

The domain 'transfer-1usd-bep.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'transfer-1usd-bep'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Segmentation 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 http://transfer-1usd-bep.vercel.app/

Page Load Overview

8.13s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:780 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
53%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195United States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F048F77329A063986558498E05B830D9F20B143F50AC97C79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:E/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPo2bMy8Oldt:1hoC9JSqzzbs6okSjggcpsg2eAn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187977:YhBUkRoEBUkUGwFDSNAg0oAFwEQAEjFw0CEIDMiTgUqwEjiaNhDELDEBLYkiMyRChaCIDCSQgKYgICRtgAqSKL8AFJChBCYB

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:f0d0c4c4c0f0f0f0
Color Hash:#2d8486

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data