Security Scan Report: c3c-hdhjs.vercel.app

Submitted: Jul 3, 2026, 2:52:47 PMCompleted: Jul 3, 2026, 2:54:21 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is c3c-hdhjs.vercel.app and was registered NaN years ago.

Submitted URL: https://c3c-hdhjs.vercel.app/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low risk site with no malicious indicators; likely benign.

Risk Factors
Domain is unranked in Cisco Umbrella top 1M
Subdomain on a hosting platform with unknown age
Safety Factors
Absence of credential or payment forms
No external links or cross‑origin requests
No malicious JavaScript behavior or network alerts
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

Domain 'c3c-hdhjs.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'c3c-hdhjs'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://c3c-hdhjs.vercel.app/

Page Load Overview

8.10s
Total Load Time
1
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:756 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

technology software
79%
documentation technical
53%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F53154F745B1702EF23B88FE34E637646244951BC0520F59BA58AFB8E2D7CA65023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz73x0:TGi9ScnwEY3x0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACCAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce420383c24
Color Hash:#87bfc5

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data