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Security Scan Report: aframnews.com

Submitted: Nov 19, 2025, 12:33:58 AMCompleted: Nov 19, 2025, 12:36:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is aframnews.com and was registered NaN years ago.

Submitted URL: https://aframnews.com/whos-that-lady-meet-stacey-plaskett/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
No credential or payment collection fields
No phishing or malware indicators detected
Domain age information unavailable

Details

Page Title

Who's that Lady? Meet Stacey Plaskett - African American News and Issues

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Domain 'aframnews.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'aframnews' is 9 characters long split between three vowels and 6 consonants. Splitting it apart reveals three words: af, ram, news. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aframnews.com/whos-that-lady-meet-stacey-plaskett/

Page Load Overview

41.87s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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:735 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
63%
adult content
60%
news media journalism
55%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
350.62.88.71United States
AS398787GO-DADDY-COM-LLC
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B944D773384D203E112F72CB6017A70F61979966CA03A9F1B3FED158D7E6E903AE6245

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IXQDamZZUtjVUyVj8aGU8rcZXi11y1v4V2ySsh81O6231yZLtQP4t7:McamRaGU8rck1qJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:256696:BMmiPDFDDiIYATACCDRyohCIgTTgoCAFMEyEkITMctC5gCMKBCDEGgEBZBCBVSpjabYIYIEgEIiTQHtgihwEMAJgRFBo5GKh

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:ffffff00000000ff
Perceptual Hash:c3bcbc631c12ed92
Difference Hash:2f1833fdc5c1cdbc
Wavelet Hash:ffffff00000000ff
Color Hash:#93721f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data