Security Scan Report: gone-next-git-v2-assets-goneapp.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 14 IPs in 1 country across 8 domains to perform 123 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://gone-next-git-v2-assets-goneapp.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Clean self-branded 'Gone' outdoor-logging preview site on Vercel: no forms, no credential or payment collection, and no malware, phishing or threat-intel hits. Only weak signals are an unranked shared-hosting subdomain of unknown age.

Risk Factors (2)
Hosted on a shared platform preview subdomain whose actual creation date is unknown (apex registration date is not attributable to this page)
Domain is unranked in Cisco Umbrella and shows minimal third-party legitimacy signals
Safety Factors (5)
No credential, login, or payment form anywhere on the page
Self-branded content consistent with the hostname; no impersonation of a different organisation
Clean threat intelligence, hunting rule, kit-roster and behavioral scans
Coherent product content (trip logbook, maps, community trips) with About/Terms/Privacy/Cookies links and dated user-contributed entries
Only mainstream analytics and consent scripts are loaded
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Domain Name Analysis

The domain name 'gone-next-git-v2-assets-goneapp.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'gone-next-git-v2-assets-goneapp'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gone-next-git-v2-assets-goneapp.vercel.app/

Page Load Overview

5.32s
Total Load Time
66.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,654 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical55% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
55%
education learning
34%
technology software
34%
blog personal website
32%
travel tourism
27%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1964.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8104.18.15.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
864.239.123.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
864.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8104.18.14.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8104.18.30.234Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
818.66.102.106Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8142.251.20.97Google · CDNUnited States
AS15169Google LLC
8216.239.32.36Google · CDNUnited States
AS15169Google LLC
12314--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16874FC77DE02FE367A236E89647DEF3EA045C173E972899CA3DDC54546C087E5BA0880

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:eeaqOigiLap7oGgdvcxSXlL9LoefL1L8LTLrdwiunI7l+W:xaqf3LA7oGgdv5Xrq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:360977:AIFaFMSC5aACoBRRR7wgiBIqsCClNpqkoIWEQ0CBAnTBUBBotANQihPBAeHYoTQMiiQSQEOkQgASByiKBUgLBQAptIZwQRES

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:c1c1c1c1d9ddcdff
Perceptual Hash:f86187da8533879a
Difference Hash:931393933139b9b9
Wavelet Hash:c1c1c1c1c1d9c9ff
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data