Security Scan Report: spdailynews.com

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 42 HTTP transactions. The main domain is spdailynews.com and was registered 4 months ago.

Submitted URL: https://spdailynews.com/index.php/2026/10/18/russian-military-satellite-stalks-u-s-radar-satellite-in-orbit/

AI Security Verdict

Moderate Risk

Confidence: 58%

4
Risk Score

Self-branded, unranked news aggregator on a 117-day-old domain with recycled headlines and a template login field; no phishing, impersonation, malware or Indicators of Compromise found.

Risk Factors (3)
Unranked, recently registered (117 days) domain republishing syndicated news headlines
Site-wide login/password field present in the template, unrelated to the article content
Low-quality auto-generated news layout with future-dated publication timestamp
Safety Factors (5)
Site displays its own brand (spdailynews) matching the domain — not brand impersonation
Article-type page with no request for credentials or payment in the content
No Indicators of Compromise, no JavaScript malware patterns, no known phishing kits
No cross-origin credential forms or credential exfiltration detected
External resources limited to Google Fonts, Gravatar and a news image CDN
Domain age information unavailable

Details

Page Title

Russian military satellite stalks U.S. radar satellite in orbit - spdailynews.com

Scan Type

public

Domain Name Analysis

Domain 'spdailynews.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'spdailynews' stretches across 11 characters split between three vowels and eight consonants. Splitting it apart reveals three words: sp, daily, news. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://spdailynews.com/index.php/2026/10/18/russian-military-satellite-stalks-u-s-radar-satellite-in-orbit/

Page Load Overview

6.46s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:12,123 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical63% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
63%
documentation technical
52%
news/blog
35%
corporate
35%
corporate business
27%

Detected Features

Login Form
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
745.199.139.15India
AS150055DIGITAL SNAP
7192.178.183.95Google · CDNUnited States
AS15169Google LLC
7104.18.24.247Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.14.94Google · CDNUnited States
AS15169Google LLC
7104.18.25.247Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
426--

Detected Technologies15

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18434F87329A814BB03D342C5B20A378EC661F117CA0E4FC5B77C92989BC5DD265E72AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:KMkRYHNYoYQiY4YKYNzdJzdiraiefBSiQ6x21jt/Hr0DYnYOY4zdiYJYUYYtpYOl:hW0ktpmsC0wVI1Ym

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:231907:QhpAgCQIHBREUI9hCiRgIAahSDYAAZAuIHTwhuMMAAoAIbCiJE5pQSkYApJkEFaChIOe5JhZBIQ0gABBhDgoggAYgRYIw0AZ

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:03ffffff87878787
Perceptual Hash:becd413613493637
Difference Hash:4e4616330d2f1f0f
Wavelet Hash:00ffff8387838781
Color Hash:#bc79d2

Scan History

Scan history not available

Unable to load historical scan data