Security Scan Report: dailycampus.com

Submitted: Oct 15, 2025, 7:30:22 AMCompleted: Oct 15, 2025, 7:34:09 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 14 domains to perform 133 HTTP transactions. The main domain is dailycampus.com and was registered NaN years ago.

Submitted URL: https://dailycampus.com/2025/10/14/huskies-in-the-pros-breaking-down-the-huskies-performances-across-three-leagues-2/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate news site with no significant security concerns.

Safety Factors
Well‑established domain (registered 1997)
No malicious Indicators of Compromise matches
Standard login/comment forms typical for a news site
Content appears legitimate and unrelated to credential harvesting
Domain age information unavailable

Details

Page Title

Huskies in the Pros: Breaking down the Huskies’ performances across three leagues | The Daily Campus

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(77%)

Domain Information

The domain name 'dailycampus.com' uses the commercial generic top-level domain (.com) without a subdomain. Its registrable label 'dailycampus' stretches across 11 characters holding 4 vowels versus seven consonants. Splitting it apart reveals 2 words: daily, campus. The median word length lands at 5.5 characters. Most frequently, 'daily' shows up in Sinhala. Usage also turns up in English and German contexts.

Screenshot

Security scan screenshot of https://dailycampus.com/2025/10/14/huskies-in-the-pros-breaking-down-the-huskies-performances-across-three-leagues-2/

Page Load Overview

0.79s
Total Load Time
133
HTTP Requests
14
Domains
8.8 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-US
Text Length:8,607 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network77% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
77%
news/blog
35%
social_media
35%
forum
35%
news media journalism
30%

Detected Features

Login Form
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
52192.0.78.234San Francisco, California, United States
AS2635AUTOMATTIC
29192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
1899.84.152.18United States
AS16509AMAZON-02
15192.0.77.32San Francisco, California, United States
AS2635AUTOMATTIC
13192.0.78.32San Francisco, California, United States
AS2635AUTOMATTIC
9192.0.77.37San Francisco, California, United States
AS2635AUTOMATTIC
5192.0.78.184San Francisco, California, United States
AS2635AUTOMATTIC
5192.0.78.33San Francisco, California, United States
AS2635AUTOMATTIC
5142.250.186.136United States
AS15169GOOGLE
5142.250.185.78United States
AS15169GOOGLE
13324--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19574E9311838243976270764B089F329A79B5195EBC90ED8F9FEDE5C4FC3B6192B3258

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JnJQYKLTC60Dkzcq/QzKABZeMNJggU0gVi0EPOqJ+AYAVcI80kEa4GvioTky/L5:PKLe60Dkz1/QzRZlNJggU0wiaR9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:345741:AlwEEqQAS49OOsBFgduSCxMEQ4BmAMBAGMACQhBsR4Az5RAB8LIWPjoACFgaEJggMhAIPoVqCEaqAQVIEJJO3XAAhaI1BREm

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:00e7ffcbdbfbfbfb
Perceptual Hash:ad36363535351c1d
Difference Hash:8e0c321233223232
Wavelet Hash:00e7c3838bdbc3cb
Color Hash:#cdd22d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data