Summary
This website contacted 79 IPs in 4 countries across 25 domains to perform 113 HTTP transactions. The main domain is teluguone.com and was registered NaN years ago.
Submitted URL: https://www.teluguone.com/tmdb/amp/news/akhanda-2-problems-to-be-sorted-at-rapid-pace-en-210489c1.html
The Cisco Umbrella rank of the primary domain is #667,573 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
Akhanda 2 problems to be sorted at rapid pace
Scan Type
public
Language
English
Category
malicious
(85%)Domain Information
Domain 'www.teluguone.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The registrable portion 'teluguone' spans 9 characters containing five vowels alongside 4 consonants. Word splitting yields 2 words: telugu, one. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 21 | 142.250.185.225 | United States | AS15169GOOGLE |
| 19 | 192.124.249.15 | Menifee, California, United States | AS30148SUCURI-SEC |
| 17 | 142.250.185.162 | United States | AS15169GOOGLE |
| 9 | 142.250.186.131 | United States | AS15169GOOGLE |
| 6 | 216.58.206.35 | United States | AS15169GOOGLE |
| 5 | 216.58.206.42 | United States | AS15169GOOGLE |
| 5 | 142.251.34.35 | United States | AS15169GOOGLE |
| 4 | 2.19.126.134 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 172.240.45.75 | United States | AS7979SERVERS-COM |
| 3 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 113 | 79 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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