Security Scan Report: sev.vercel.app

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Submitted: Jan 8, 2026, 10:40:44 AMCompleted: Jan 8, 2026, 10:42:34 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 50 HTTP transactions. The main domain is sev.vercel.app and was registered NaN years ago.

Submitted URL: https://sev.vercel.app/district/nutrition-department/menus

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate school district menu page with no security concerns.

Safety Factors
Well‑established domain (>5 years)
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Content appears to be legitimate school district information
Domain age information unavailable

Details

Page Title

Menus | Nutrition Department | District | Southeast Valley Jaguars

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(69%)

Domain Information

Domain 'sev.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'sev'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. Breaking it apart gives two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sev.vercel.app/district/nutrition-department/menus

Page Load Overview

37.24s
Total Load Time
50
HTTP Requests
2
Domains
1.5 MB
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:5,949 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
69%
education learning
52%
healthcare medical
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.21.27.152United States
AS13335CLOUDFLARENET
1664.29.17.195United States
AS16509AMAZON-02
16216.198.79.195United States
AS16509AMAZON-02
503--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C738561C890112A01A705ADB5667F0FE78F840EF70FDC40A2B162995FC5E41BEEA76F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:kBTi9NCBLMxoEgUOZDnpvMN8pLZbQpYMk8nZrUpIMA8FZPrpfM98kCBLMxoEgUO7:1Lqh7Rgq2qh7RgqU4ZA4ObBx78gw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73986:B0ACAYPERkYlktg0a6g0nEKhkgYIZEUGCSdDFykjYZ+JQYAQ0IIQDxS0GKAehQF4KtAjQ4ihkRSMBBAWii2ACCy1YdJAbzjB

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:0000ffffffffffff
Perceptual Hash:b80a43026373f5f7
Difference Hash:ddb3303c38381e16
Wavelet Hash:00008f87cf8fefe3
Color Hash:#a26ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data