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Security Scan Report: app.overgrad.com

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Submitted: Nov 5, 2025, 7:55:24 AMCompleted: Nov 5, 2025, 7:56:38 AMpubliccompleted
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Summary

This website contacted 107 IPs in 3 countries across 20 domains to perform 74 HTTP transactions. The main domain is app.overgrad.com and was registered NaN years ago.

Submitted URL: https://app.overgrad.com/universities/1758-bethesda-university

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age (>13 years)
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Content aligns with legitimate educational data provider
Domain age information unavailable

Details

Page Title

Bethesda University Statistics | Overgrad

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

education learning

(60%)

Domain Information

The domain name 'app.overgrad.com' uses the commercial generic top-level domain (.com) with subdomain 'app'. Its registrable label 'overgrad' stretches across 8 characters split between three vowels and five consonants. It segments into 2 words: over, grad. Expect four characters per word on average. Most frequently, 'over' shows up in Dutch. You will also see it in Danish and Norwegian contexts.

Screenshot

Security scan screenshot of https://app.overgrad.com/universities/1758-bethesda-university

Page Load Overview

11.25s
Total Load Time
74
HTTP Requests
20
Domains
571 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:2,153 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning60% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
60%
adult content
58%
government public service
57%
technology software
50%
corporate business
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
74142.250.186.163United States
AS15169GOOGLE
065.9.66.85United States
AS16509AMAZON-02
013.226.244.47United States
AS16509AMAZON-02
013.226.244.77United States
AS16509AMAZON-02
0172.66.161.212United States
AS13335CLOUDFLARENET
0143.204.102.76United States
AS16509AMAZON-02
0142.250.184.195United States
AS15169GOOGLE
013.226.244.30United States
AS16509AMAZON-02
03.131.149.33Columbus, Ohio, United States
AS16509AMAZON-02
0142.250.184.234United States
AS15169GOOGLE
74107--

Detected Technologies6

Modernizrv64ea048573ea20796f63344b25dff6346bfdc40f37fb2cc510a665406130b00c
100%
HSTS
40%
Google Analytics
35%
Tawk.to
20%
Google Maps
20%
Amplitude
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16953C618E250013FE10643CDF3A67BA5126DA08BDB0515B8B1ED1072AF16D9EBF7FA58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sJRUckrv0DzS5c32dZQ58kK7WeN/OMx+a6H:sJRUckAMx+a6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64934:AQiSAFClSxRIeOFgMgCAGCEUMn7tEgqwgkAJI0RAAEBECCAkak6AAgGkDi1gKQFREiDXSTrDBgIgZAikSpUogNDGheQQJzFA

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:00ffffc7c7ffffc7
Perceptual Hash:b04d474f320a5f4f
Difference Hash:4d08161e0e200c0c
Wavelet Hash:00c2c2c3c3ffe7c6
Color Hash:#4c783a

Other Hashes

Crop Resistant:4d08161e0e200c0c,0181400101010081

Scan History

Scan history not available

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