Security Scan Report: signals-prod.tools.riverside.fm

Submitted: Mar 4, 2026, 3:49:00 PMCompleted: Mar 4, 2026, 3:51:00 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 signals-prod.tools.riverside.fm and was registered NaN years ago.

Submitted URL: https://signals-prod.tools.riverside.fm

The Cisco Umbrella rank of the primary domain is #85,626 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'signals-prod.tools.riverside.fm' uses the .fm country-code top-level domain; it also runs on subdomain 'signals-prod.tools'. The registrable portion 'riverside' spans 9 characters holding 4 vowels versus 5 consonants. Splitting it apart reveals one word: riverside. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://signals-prod.tools.riverside.fm

Page Load Overview

0.86s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:18 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
244.193.47.251Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4C080BAC411450D6B3015F8CA8675545E08530DD1311F5075D4E195E544DA784432DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYfpEZuUeZ2Aoqa:qzxV/5VHHoB96D3ne1k9YC5eZI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c1359b5d48c30abd84bc357b2b9f9c8c

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:7fffffffffffffff
Perceptual Hash:87070f0f0f0f0f1f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#6c8de0

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data