Security Scan Report: web-git-herman-cons-1985-responsive-web-changes-uniswap.vercel.app

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Submitted: Jul 10, 2026, 12:45:19 AMCompleted: Jul 10, 2026, 12:48:01 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 7 domains to perform 57 HTTP transactions. The main domain is web-git-herman-cons-1985-responsive-web-changes-uniswap.vercel.app and was registered NaN years ago.

Submitted URL: https://web-git-herman-cons-1985-responsive-web-changes-uniswap.vercel.app/explore/pools

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

The site shows multiple critical malware IDS alerts and unverified phishing IoCs, indicating a high‑risk malicious page despite lacking credential forms.

Risk Factors
Critical IDS malware alerts
Unverified phishing IoC matches
Unknown subdomain age on a hosting platform
Unranked domain reputation
Crypto‑related content on a suspicious subdomain
Domain age information unavailable

Details

Page Title

Explore top pools on Ethereum on Uniswap

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(89%)

Domain Information

Domain 'web-git-herman-cons-1985-responsive-web-changes-uniswap.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'web-git-herman-cons-1985-responsive-web-changes-uniswap'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and four consonants. It segments into 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://web-git-herman-cons-1985-responsive-web-changes-uniswap.vercel.app/explore/pools

Page Load Overview

14.76s
Total Load Time
57
HTTP Requests
7
Domains
184 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-US
Text Length:613 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain89% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
89%
cryptocurrency
22%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
964.239.109.193United States
AS16509Amazon.com, Inc.
6172.66.147.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.18.20.237Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.131United States
AS16509Amazon.com, Inc.
6172.66.0.225Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6162.159.140.227Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6216.198.79.131United States
AS16509Amazon.com, Inc.
579--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11FB46570F110314E563BC39F26B29B9DC2B3F94CD733A15DAEA4B11F2699C620E169E4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4L3cf1TrjTJZgQNTzTZeQaZwNfTRHxKy8XMnxOfXUUL1Hg1HidOfAu7lh8o8evf/:a8TJvRCXZUK8V8o85ZUKo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500004:AAKAQUACDGJEhQGQUgdgQTj4oDKpgtIpRBJ0BKVIIMgeJhGJ3ZIkEIIUCFHSHFEhr4AgCUAzBACEAKKCBEgAmSoDIARMQYJw

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:26d3c3ffffffefe7
Perceptual Hash:e54d179393934565
Difference Hash:4836160826220a8e
Wavelet Hash:268381c3dbdbcb43
Color Hash:#bf4040

Other Hashes

Crop Resistant:4836160826220a8e

Scan History

Scan history not available

Unable to load historical scan data