Security Scan Report: dailytarheel.com

Redirected to: https://www.dailytarheel.com/article/opinion-column-avery-office-dj-20250408

Submitted: Oct 10, 2025, 7:53:45 AMCompleted: Oct 10, 2025, 7:54:42 AMpubliccompleted
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Summary

This website contacted 23 IPs in 1 country across 5 domains to perform 12 HTTP transactions. The main domain is dailytarheel.com and was registered NaN years ago.

Submitted URL: https://dailytarheel.com/article/opinion-column-avery-office-dj-20250408

Effective URL: https://www.dailytarheel.com/article/opinion-column-avery-office-dj-20250408Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Page appears legitimate; no security concerns detected.

Safety Factors
Established domain with long registration history
No forms collecting sensitive data
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Human Verification

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(67%)

Domain Information

Within the commercial generic top-level domain (.com), 'dailytarheel.com' is registered without a subdomain. The registrable portion 'dailytarheel' spans 12 characters with five vowels and seven consonants. Word splitting yields three words: daily, tar, heel. Median word length is four characters. 'daily' is most common in Dutch usage. It also appears in Swedish and Norwegian contexts.

Screenshot

Security scan screenshot of https://dailytarheel.com/article/opinion-column-avery-office-dj-20250408

Page Load Overview

18.23s
Total Load Time
12
HTTP Requests
5
Domains
37 KB
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:718 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
66%
phishing scam
43%
government public service
26%
blog personal website
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1299.84.152.73United States
AS16509AMAZON-02
03.171.214.67United States
AS16509AMAZON-02
03.171.214.57United States
AS16509AMAZON-02
013.32.121.39New York, New York, United States
AS16509AMAZON-02
03.171.214.88United States
AS16509AMAZON-02
03.171.214.51United States
AS16509AMAZON-02
034.237.90.100Ashburn, Virginia, United States
AS14618AMAZON-AES
050.16.124.219Ashburn, Virginia, United States
AS14618AMAZON-AES
0100.29.85.204Ashburn, Virginia, United States
AS14618AMAZON-AES
013.32.121.48New York, New York, United States
AS16509AMAZON-02
1223--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F312195358164407545B689CAAB3A25D764A8307810F88ACFFAF57E4CFDE2BC85236DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+JGzN+kZUbUD1wCF+qaLv0X2ZzUhfOFgTm0DKDnBQfmW1qaRCVXuGiEsmw9oj:bIEULBaff9wnBi31qaRcW4wc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9729:lYEgNJEOqABQBJRYAYy4iJsEogADCDEQMEsVe6AYCBQGwJAMS2iIDRJCIIQEAAQpAYqUWF2iESABQCggHFBBoQgu0QAGKREX

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:e6e6e6eefefefefe
Perceptual Hash:f73388cc8ccc2277
Difference Hash:0c0c0c0800000000
Wavelet Hash:262626260e0e0e0e
Color Hash:#1f4e93

Other Hashes

Crop Resistant:0c0c0c0800000000

Scan History

Scan history not available

Unable to load historical scan data