Security Scan Report: analytics.pocketfm.com

Submitted: Dec 26, 2025, 7:50:37 PMCompleted: Dec 26, 2025, 7:51:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is analytics.pocketfm.com and was registered NaN years ago.

Submitted URL: https://analytics.pocketfm.com

The Cisco Umbrella rank of the primary domain is #78,564 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain
Top‑100k Cisco Umbrella ranking
No credential or payment collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(38%)

Domain Information

The domain name 'analytics.pocketfm.com' uses the commercial generic top-level domain (.com) and includes subdomain 'analytics'. Its registrable label 'pocketfm' stretches across 8 characters with two vowels and 6 consonants. Breaking it apart gives two words: pocket, fm. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://analytics.pocketfm.com

Page Load Overview

1.00s
Total Load Time
2
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:66 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism38% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
38%
government public service
32%
healthcare medical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
252.221.106.174Singapore, Singapore
AS16509AMAZON-02
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5D09771C0301D2A233205CD9CC2A1088BC8B10A80314D087584F9A086EBE2584132A0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLDAgc2dKsnEK4FJhuqfLceRS8K4FLfRR9:qzxV/5VHHQYk/B968AgxsEkHRNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:f3c67156e559cb8d937372eade4ca7f2

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:00ffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:e000000000000000
Wavelet Hash:00ff3f3f00000000
Color Hash:#2d8186

Other Hashes

Crop Resistant:e000000000000000

Scan History

Scan history not available

Unable to load historical scan data