Security Scan Report: flow-web3-sig-claim-demo.vercel.app

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Submitted: Aug 28, 2026, 10:56:45 AMCompleted: Aug 28, 2026, 10:59:22 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Page shows brand impersonation and Safe Browsing phishing flag; treat as high‑risk and do not interact.

Risk Factors
Safe Browsing phishing indicator
Brand impersonation via meta tags
Unranked / low‑reputation domain
Free hosting subdomain (potentially newly created)
Domain age information unavailable

Details

Page Title

Flow MetaMask NFT Claim

Scan Type

public

Domain Name Analysis

The domain name 'flow-web3-sig-claim-demo.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'flow-web3-sig-claim-demo'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Breaking it apart gives two 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://flow-web3-sig-claim-demo.vercel.app/

Page Load Overview

2.42s
Total Load Time
447 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:313 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software51% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
51%
cryptocurrency blockchain
51%
finance banking
28%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.67United States
AS16509Amazon.com, Inc.
1216.198.79.131United States
AS16509Amazon.com, Inc.
164.29.17.131United States
AS16509Amazon.com, Inc.
1188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1129.80.93.62Oracle · CLOUDAshburn, Virginia, United States
AS31898Oracle Corporation
106--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ADF0DD56CC10D44E67305B6BFD62F17CC509BA1D66A17C20B4E612960EE4BB29CB2516

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2ZngcaIGuaXiKM+dioSS0e7Ve1N9TG7faKj2a:hR056tCWHGa0io70e7VqPC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:646:AAAAAAAAAQAAABAAAAwQAAAAAAACAAAAAAAQAAAIAAAABAAAAAAAAAAACAAAAIAAAAAAgAABAAAAAAAAAAIAAAAgAAAYIAAA

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:00ffefe781e7ffff
Perceptual Hash:f715cc443b93934c
Difference Hash:c000084a0b0a0800
Wavelet Hash:00fecec680e6f0f0
Color Hash:#5f2d86

Other Hashes

Crop Resistant:c000084a0b0a0800

Scan History

Scan history not available

Unable to load historical scan data