Security Scan Report: newsroom.id

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Submitted: Dec 27, 2025, 12:03:02 AMCompleted: Dec 27, 2025, 12:03:40 AMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 10 domains to perform 80 HTTP transactions. The main domain is newsroom.id and was registered NaN years ago.

Submitted URL: https://newsroom.id/2025/12/kru-merespons-kebakaran-besar-di-custom-house-wharf-di-portland/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article with no security concerns.

Safety Factors
Established domain with minimal risk category
Absence of suspicious forms or data collection
No external links or redirects
No brand impersonation or health‑related claims
Domain age information unavailable

Details

Page Title

Kru Merespons Kebakaran Besar Di Custom House Wharf Di Portland - NewsRoom Indonesia

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

news/blog

(70%)

Domain Information

You're looking at domain 'newsroom.id' on the Indonesian country-code top-level domain (.id) with no subdomain. The registrable portion 'newsroom' spans 8 characters with 3 vowels and 5 consonants. Splitting it apart reveals 1 word: newsroom. The median word length lands at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://newsroom.id/2025/12/kru-merespons-kebakaran-besar-di-custom-house-wharf-di-portland/

Page Load Overview

5.05s
Total Load Time
80
HTTP Requests
10
Domains
608 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:5,356 chars
Detector Agreement:75%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.18.1.22United States
AS13335CLOUDFLARENET
8216.239.32.36United States
AS15169GOOGLE
8142.250.185.226United States
AS15169GOOGLE
8192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
8185.146.167.194United States
AS4825420i Limited
8142.251.141.97United States
AS15169GOOGLE
8172.217.18.3United States
AS15169GOOGLE
8142.250.186.136United States
AS15169GOOGLE
8142.250.185.202United States
AS15169GOOGLE
8142.250.186.98United States
AS15169GOOGLE
8010--

Detected Technologies8

100%
JQueryv3.7.1
100%
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D631A72818E1037370A46DA61497E2CF58BD70BCF826E96F7FCA1488BC5E9655B310E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aOOSopZdypJKDLGlzletxgNbzEFomydA/+6+jIbyJNruo0sCa45pL5:rOSwypEDLGlzItxgKomyd4+MOJNr5Mpl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72695:EsYWEAJBgLC9vQSQ4AqA7IQNlyIEUBKBQQTDCJISFoSVDAAOgLDliz/HiAECcGIjxQCMRnBQ4SyILHwEggBh+2sJKME1AtkJ

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:df00ffc3879797c7
Perceptual Hash:bcc98a3c30cccdbc
Difference Hash:3349322f2f2f272d
Wavelet Hash:df00fbc383838787
Color Hash:#3a7857

Scan History

Scan history not available

Unable to load historical scan data