Security Scan Report: 1inch-extension.vercel.app

Submitted: Oct 16, 2025, 10:27:23 AMCompleted: Oct 16, 2025, 10:28:27 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 16 HTTP transactions. The main domain is 1inch-extension.vercel.app and was registered NaN years ago.

Submitted URL: https://1inch-extension.vercel.app/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site is flagged for URL manipulation and social engineering; treat as high‑risk phishing.

Risk Factors
URL manipulation (high‑risk phishing technique)
Social Engineering threat flagged by Google Safe Browsing
Domain age information unavailable

Details

Page Title

1inch-extension

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), '1inch-extension.vercel.app' is registered; it also runs on subdomain '1inch-extension'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. Segmentation suggests two words: ver, cel. Average segment length settles at 3 characters. Most frequently, 'ver' shows up in Portuguese. Secondary signals appear in Portuguese (Brazil) and Galician.

Screenshot

Security scan screenshot of https://1inch-extension.vercel.app/

Page Load Overview

33.52s
Total Load Time
16
HTTP Requests
1
Domains
115 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:219 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.3United States
AS16509AMAZON-02
864.29.17.3United States
AS16509AMAZON-02
162--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18641D035A500A1BE11338EA7FE70777CC28BA61DC9339C91B07D83695BA4AC04A62893

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:zHaoqo1oUToHoeoBPoHo1FndG27qA8U2TkJolXec13cr9:zTDGUMIP2Io27gU7Jyw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2266:BCAAAQjAAQCCAEIgAAAAAAQAIsCACAAAAABCEAAAIAAAEAEQGAAAAAABECAAAIAGABQAAAQilAhAAAAQgAIACACEQAAAAQAK

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data