Security Scan Report: headlineplanet.com

Site favicon
Submitted: Oct 10, 2025, 8:29:47 AMCompleted: Oct 10, 2025, 8:33:01 AMpubliccompleted
Loading additional data...

Summary

This website contacted 69 IPs in 4 countries across 20 domains to perform 125 HTTP transactions. The main domain is headlineplanet.com and was registered NaN years ago.

Submitted URL: https://headlineplanet.com/home/2025/10/09/ryan-reynolds-emilia-jones-appear-on-thursdays-late-night-with-seth-meyers-first-look/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low risk; site appears legitimate despite a circular redirect warning

Risk Factors
Circular redirect detection indicates possible URL manipulation
Safety Factors
Domain is over 20 years old
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content appears to be a standard news article
Domain age information unavailable

Details

Page Title

Ryan Reynolds, Emilia Jones Appear On Thursday's "Late Night With Seth Meyers" (First Look)

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

social media network

(42%)

Domain Information

Within the commercial generic top-level domain (.com), 'headlineplanet.com' is registered and has no subdomain. The second-level label 'headlineplanet' is 14 characters long containing 6 vowels alongside 8 consonants. Splitting it apart reveals 2 words: headline, planet. Average segment length settles at seven characters. Most frequently, 'headline' shows up in Indonesian. Secondary signals appear in English and Chinese (Pinyin). Taken together, it feels Indonesian.

Screenshot

Security scan screenshot of https://headlineplanet.com/home/2025/10/09/ryan-reynolds-emilia-jones-appear-on-thursdays-late-night-with-seth-meyers-first-look/

Page Load Overview

5.98s
Total Load Time
125
HTTP Requests
20
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:64,248 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
42%
news/blog
35%
entertainment media
30%
news
15%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
74104.156.52.51Tampa, Florida, United States
AS29802HVC-AS
16142.250.186.163United States
AS15169GOOGLE
52.18.161.178Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
5142.250.186.78United States
AS15169GOOGLE
370.42.32.127United States
AS22075AS-OUTBRAIN
3142.250.184.202United States
AS15169GOOGLE
23.227.190.204Ashburn, Virginia, United States
AS14618AMAZON-AES
223.52.181.124Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.250.186.104United States
AS15169GOOGLE
12569--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T182B4B631F840193F6B7F05C4A349A70AB2D6A20FF4D94450D2E6876C86E5E78F52E2E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CClqcGnTXDClva83C16Tfl3TmzZ46hi7nMxfi:CClqNTDClS8S16Tfl3TmzZmMxfi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500567:EI1QAD0zaAAzBQEUASAEhkEBFSre/YIyCBu+iwYohmLsIGA0wQAGICIGACwMYOEQBEArWDgBAAASgwBKQtgAYkpCPgBQCAyD

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:0000b9b99d99c100
Perceptual Hash:98cf36b81ce2c9b8
Difference Hash:213233b3b3b38f8e
Wavelet Hash:9800fbfbdfd9c100
Color Hash:#2d8386

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data