Security Scan Report: fm-analytics-api.pocketfm.com

Submitted: Jan 6, 2026, 4:21:25 PMCompleted: Jan 6, 2026, 4:23:11 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is fm-analytics-api.pocketfm.com and was registered NaN years ago.

Submitted URL: https://fm-analytics-api.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: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain age
High Cisco Umbrella ranking
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(82%)

Domain Information

The domain name 'fm-analytics-api.pocketfm.com' uses the commercial generic top-level domain (.com) and includes subdomain 'fm-analytics-api'. Count 8 characters in 'pocketfm' holding two vowels versus 6 consonants. Word splitting yields 2 words: pocket, fm. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fm-analytics-api.pocketfm.com

Page Load Overview

6.67s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
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

documentation technical82% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
82%
technology software
60%
news media journalism
43%
government public service
37%
cryptocurrency blockchain
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
154.251.226.151Singapore
AS16509AMAZON-02
113.229.159.21Singapore
AS16509AMAZON-02
22--

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:#3a7378

Other Hashes

Crop Resistant:e000000000000000

Scan History

Scan history not available

Unable to load historical scan data