Security Scan Report: develop.sfsu.edu

Submitted: Nov 10, 2025, 8:49:03 PMCompleted: Nov 10, 2025, 8:50:01 PMpubliccompleted
Loading additional data...

Summary

This website contacted 190 IPs in 0 countries across 56 domains to perform 185 HTTP transactions. The main domain is develop.sfsu.edu and was registered NaN years ago.

Submitted URL: https://develop.sfsu.edu/belva-davis

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and is legitimate.

Safety Factors
Hosted on official university subdomain (develop.sfsu.edu)
Content appears to be a legitimate donor profile page
Domain age information unavailable

Details

Page Title

Belva Davis: Donor Profile | University Development

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'develop.sfsu.edu' is registered with subdomain 'develop'. Its registrable label 'sfsu' stretches across 4 characters containing 1 vowel alongside three consonants. Segmentation suggests 2 words: s, fsu. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://develop.sfsu.edu/belva-davis

Page Load Overview

8.68s
Total Load Time
185
HTTP Requests
56
Domains
2.0 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:3,701 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
government public service
40%
adult content
35%
education learning
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18554.72.192.100UnknownUnknown
0142.250.186.34UnknownUnknown
052.16.181.129UnknownUnknown
0185.89.210.20UnknownUnknown
0142.250.185.163UnknownUnknown
0142.250.186.35UnknownUnknown
0216.239.32.36UnknownUnknown
0142.250.184.200UnknownUnknown
0142.250.186.134UnknownUnknown
0172.67.142.245UnknownUnknown
185190--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15B634B1275F06033026346C6B036931AFEA2A467FA0A4450F7ED8BDC5FC6D9A5527E3E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:PH8b1KE0CaZHgc1qI0jne6LdnvjA1OaeS6eUVVQqp+tddWe20XuYKDNXDqev/6g6:c1KE0Caic1qI0jD/6gJLiVpBMS4GTPzh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66886:AiAyADFSmzAAyIGTg1VSmUMCgIBSAaGIAgHpgAZYZ8YAoDEFEBDtCIRkAJBhiIQ1GgAYe0goGwYFZIgohHZBAJACpQardLOX

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:000606e7e7c3ffff
Perceptual Hash:b3338c496fc96c1a
Difference Hash:838c9ccdcd971b24
Wavelet Hash:000206e5e5c1ffff
Color Hash:#87b2c5

Scan History

Scan history not available

Unable to load historical scan data