ScanMalware.com

Security Scan Report: goldfm.lk

Redirected to:
https://www.goldfm.lk/
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Submitted: Aug 27, 2026, 8:24:10 AMCompleted: Aug 27, 2026, 8:26:21 AMpubliccompleted

Summary

This website contacted 11 IPs in 1 country across 27 domains to perform 2 HTTP transactions. The main domain is goldfm.lk.

Submitted URL: https://goldfm.lk

Effective URL: https://www.goldfm.lk/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site is an established, self‑branded radio station with no malicious indicators.

Safety Factors
Established domain age
Self‑branding consistent with domain
No malicious scripts or external form submissions
No credential exfiltration
Domain age information unavailable

Details

Page Title

Gold FM Official Web Site|English Radio Sri Lanka|Oldies Stations Sri Lanka|Classical English Songs Sri Lanka|On line Radio Sri Lanka|Sri Lanka English Radio|English Radio Stations Sri Lanka|English FM Radio Station Sri Lanka|Sri Lanka Live Radio|

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(77%)

Domain Information

Domain 'goldfm.lk' uses the Sri Lankan country-code top-level domain (.lk) with no subdomain. The core label 'goldfm' covers 6 characters with 1 vowel and five consonants. Breaking it apart gives two words: gold, fm. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://goldfm.lk

Page Load Overview

31.57s
Total Load Time
283
HTTP Requests
27
Domains
192.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:4,820 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media77% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
77%
news media journalism
52%
government public service
34%
education learning
25%
news/blog
20%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25142.251.127.156Google · CDNUnited States
AS15169Google LLC
25192.178.183.157Google · CDNUnited States
AS15169Google LLC
25104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25142.250.154.154Google · CDNUnited States
AS15169Google LLC
25142.251.14.97Google · CDNUnited States
AS15169Google LLC
25188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25172.67.203.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
25142.251.110.95Google · CDNUnited States
AS15169Google LLC
25188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
28311--

Page Statistics

283
Requests
27
Unique Domains
20.2 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C88123F35104DE4D56439482FE7A718DC0E3958FD9A499A4E37A443E70C87E6B07B829

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Tdky/LnWk5mzts3Wke9ndyF+OlOfA7jo7MDTcN:BDtStiGE+OUfCjo7MDIN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3883:gEABAAFEAQAFRSDZQQQACAIBAGMQAACEAAQAACBjEQJEEEAAFIiAgBwIAACEQKIAJBCgIIAOoACBEgARiAABAooAkoMAABAE

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:c3c383838383dfff
Perceptual Hash:bc68c36cc7c83c93
Difference Hash:233b37372727371b
Wavelet Hash:818383838383dfff
Color Hash:#7340bf

Other Hashes

Crop Resistant:233b37372727371b,71a1d9f9f9f9f979,c76b3298ec70f4e5,f0f4d290dc999092,f141213024e0a6e2,6ab2f2b6a3e36373

Scan History

Scan history not available

Unable to load historical scan data