Security Scan Report: sev.vercel.app

Submitted: Jan 10, 2026, 2:51:17 PMCompleted: Jan 10, 2026, 2:52:45 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 70 HTTP transactions. The main domain is sev.vercel.app and was registered NaN years ago.

Submitted URL: https://sev.vercel.app/dayton-elementary/daily-announcements

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain age
No credential or payment collection
No malicious Indicators of Compromise
No suspicious redirects or hidden fields
Domain age information unavailable

Details

Page Title

Daily Announcements | Dayton Elementary | Southeast Valley Jaguars

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(45%)

Domain Information

The domain 'sev.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'sev'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. Segmentation suggests 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://sev.vercel.app/dayton-elementary/daily-announcements

Page Load Overview

6.61s
Total Load Time
48
HTTP Requests
2
Domains
1.4 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:3,661 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
45%
education learning
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2464.29.17.67United States
AS16509AMAZON-02
24172.67.142.245United States
AS13335CLOUDFLARENET
482--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F2637361C890112A026B45ADB5327F0FA78F840EE70FDC44A2B172996FD5D41BEEA35F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:PGBTiiNCBLMxoEgUOZDnpvMN8pLZbQpYMk8nZrUpIMA8FZPrpfM98kCBLMxoEgUQ:beqh7Rgq2qh7RgqU4ZA4u0biHRDA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66936:DoY0CwoBigEvQ87ViwQ3ADKlMBJgQiAARlKAFKEiwvcAJapgEmuhQSBAQJjAUQhSBQlHAQFCQUwISxYVAhRTXoaAKQEIbghk

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:0000ffffffff0000
Perceptual Hash:b5da05422577d23d
Difference Hash:d5f3302e3a003e36
Wavelet Hash:0000ffffffff0000
Color Hash:#2dd238

Scan History

Scan history not available

Unable to load historical scan data