Security Scan Report: srpske.rs

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Submitted: Oct 6, 2026, 2:14:02 PMCompleted: Oct 6, 2026, 2:14:58 PMpubliccompleted

This website contacted 21 IPs in 2 countries across 14 domains to perform 136 HTTP transactions. The main domain is srpske.rs and was registered 4 years 6 months ago.

Submitted URL: https://srpske.rs/en/news/nauka/2026/10/04/world-space-week-2026-opens-with-rocket-revolution-theme

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Self-branded Serbian news site (Srpske Novine) serving an ordinary World Space Week article. No forms capturing credentials/payment, no impersonation, no threat-intel, YARA or IDS hits. Only weak prior is a young, unranked domain.

Risk Factors (1)
Domain is recently registered (133 days old) and not ranked in Cisco Umbrella top 1M
Safety Factors (5)
Self-branded site matching its own domain (no brand impersonation)
News/article content with clear author attribution and dated stories
No credential or payment forms present
Third-party scripts come from ranked, well-known service domains
No threat-intelligence, YARA, IDS or behavioral indicators
Domain age information unavailable

Details

Page Title

World Space Week 2026: October 4 to 10 | Srpske Novine

Scan Type

public

Domain Name Analysis

Within the Serbian country-code top-level domain (.rs), 'srpske.rs' is registered while skipping any subdomain. The second-level label 'srpske' is 6 characters long holding 1 vowel versus 5 consonants. Tokenizing the label suggests three words: srp, s, ke. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://srpske.rs/en/news/nauka/2026/10/04/world-space-week-2026-opens-with-rocket-revolution-theme

Page Load Overview

3.18s
Total Load Time
2.4 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:5,578 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
corporate
70%
news
30%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16104.21.83.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.250.154.97Google · CDNUnited States
AS15169Google LLC
6146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6216.239.32.36Google · CDNUnited States
AS15169Google LLC
6142.251.127.157Google · CDNUnited States
AS15169Google LLC
6146.75.122.132Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
635.159.57.106Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
694.237.85.247Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
679.127.216.204Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6146.75.122.49Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
13621--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A404D631F100C97EE9135E6C673CFD786089E15B89498E59F7ACC62616C3DF96AA32C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+E6QSus1sGMD5tn6K3mTxdQ1K/Y52TUxyTF4wgXXVuWCEvrckZzAsZRBk4:+E6QSus1sGMD5Rr3mTxdd/YwTUxaF4wQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:175528:AQiaqMDAQ0CKJg5ECipYk0gWgAAEgASNIQJFmIscxCXIXVr0uBJCFYCACrAEsmFoBIAOUEdAgQIRpBCAhYeAFE1MyBBWgGeA

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:ff003cfffffbc3c3
Perceptual Hash:b0ce31ce92b1ce33
Difference Hash:2b56e93965a69e9e
Wavelet Hash:830000ffffd3c3c3
Color Hash:#783a71

Scan History

Scan history not available

Unable to load historical scan data