Security Scan Report: sev.vercel.app

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Submitted: Jan 6, 2026, 5:04:12 AMCompleted: Jan 6, 2026, 5:07:10 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 86 HTTP transactions. The main domain is sev.vercel.app.

Submitted URL: https://sev.vercel.app/dayton-elementary/student-resources/Documents

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate school resource page with no security concerns.

Safety Factors
Hosted on a well‑known, trusted platform (vercel.app)
Content appears to be a legitimate school resource page
No suspicious redirects, scripts, or hidden fields
Domain age information unavailable

Details

Page Title

Documents | Student Resources | Dayton Elementary | Southeast Valley Jaguars

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(49%)

Domain Information

Within the application-focused generic top-level domain (.app), 'sev.vercel.app' is registered with subdomain 'sev'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus 4 consonants. It segments into 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://sev.vercel.app/dayton-elementary/student-resources/Documents

Page Load Overview

105.27s
Total Load Time
54
HTTP Requests
2
Domains
556 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
Text Length:3,156 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
49%
education learning
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18172.67.142.245United States
1864.29.17.67United States
18104.21.27.152United States
AS13335CLOUDFLARENET
543--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8639361C8A0212A016745ACB5227F0FA78F840EE70FDC44A2F172995FD5E41BEEA75F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:IGBTiaNCBLMxoEgUOZDnpvMN8pLZbQpYMk8nZrUpIMA8FZPrpfM98kCBLMxoEgUJ:S2qh7Rgq2qh7RgqU4ZA4z0bt/z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:68467:fUAwIQgAGgJiF4HkwklhAFrLiEpAYQ1MSwCi1BE4NMAEUkIgaLTIDx1qwbMciYARKAUoCSACArqQKEAbADAEzDMAmYEbwoB3

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:00ffffffffffef00
Perceptual Hash:b8f746e348721966
Difference Hash:d538383c18100d11
Wavelet Hash:00df9fcfdfcf0000
Color Hash:#a92dd2

Scan History

Scan history not available

Unable to load historical scan data