Security Scan Report: proxylc.vercel.app

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Submitted: May 5, 2026, 7:37:52 PMCompleted: May 5, 2026, 7:39:17 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 12 HTTP transactions. The main domain is proxylc.vercel.app and was registered NaN years ago.

Submitted URL: https://proxylc.vercel.app

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Subdomain creation date unknown (could be brand‑new)
Safety Factors
No credential or payment collection forms
No external malicious links or redirects
No JavaScript credential exfiltration or malware behavior
Hosted on reputable platform (Vercel) with no IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'proxylc.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'proxylc'. The registrable portion 'vercel' spans 6 characters holding two vowels versus 4 consonants. It segments into 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://proxylc.vercel.app

Page Load Overview

1.00s
Total Load Time
11
HTTP Requests
1
Domains
1 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
0
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.198.79.195United States
AS16509Amazon.com, Inc.
111--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC310F96DC0EDE460822A98DF86EB31FA10AD53FD578849CB7DC869C46257AD0F5AC40

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGUT4G/GL4GPGfKeq7OPrWQuvgeVAozwLCk/ZlRIW1BFu:TGUsIfMspq7Po/P/J1Pu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1758:IEAEBCjBAAAAACAEAAAgCAgAAAAECAIAIABAgAAIQIEIAgBgAACEAgCAAAAABAAAAAqBCoAEAEAACEhAAAAAAABACBAAQAAQ

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#723a78

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data