Security Scan Report: sev.vercel.app

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Submitted: Jan 11, 2026, 12:24:44 AMCompleted: Jan 11, 2026, 12:26:18 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 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/high-school/conferences

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing page targeting parents; do not enter credentials.

Risk Factors
Credential harvesting form on a low‑reputation/unranked domain
Impersonation of school parent portal without legitimate branding
Obfuscated/garbled OCR text used to lure users
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(50%)

Domain Information

The domain name '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 with two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sev.vercel.app/high-school/conferences

Page Load Overview

13.98s
Total Load Time
43
HTTP Requests
3
Domains
1.1 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:2,738 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service50% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
50%
education learning
28%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15216.198.79.131United States
AS16509AMAZON-02
14104.21.27.152United States
14142.250.186.138United States
AS15169GOOGLE
433--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C1361B1C880212B026719EDB4627F0FE68B850AE70FDC10A2F562D91FD5D41AEAD71F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:5BTi4+CBLMxoEgUOZDnpvMN8pLZbQpYMk8nZrUpIMA8FZPrpfM98O4mYjBYjyYjf:+/qh7RgqU4DmBxmE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45276:FRASQBwShA4CEHpIQ6B1NsAlkEM5HEBCulQRIIBhAAdAkkCikgEghBQQAMsAAeRRJKJgQuhSSyggZAQwJggdZDA00AJIj2CD

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:00ffffffff000000
Perceptual Hash:b5fa056a431937ca
Difference Hash:dd0c185e000e36fe
Wavelet Hash:00ffffffff000000
Color Hash:#93311f

Scan History

Scan history not available

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