Security Scan Report: fred.fireflies.ai

Submitted: Mar 22, 2026, 4:47:38 PMCompleted: Mar 22, 2026, 4:49:09 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 fred.fireflies.ai and was registered NaN years ago.

Submitted URL: https://fred.fireflies.ai

The Cisco Umbrella rank of the primary domain is #78,018 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

🇺🇸

English

(57% confidence)

Category

healthcare medical

(52%)

Domain Information

Domain 'fred.fireflies.ai' uses the Anguillan country-code top-level domain (.ai) with subdomain 'fred'. The second-level label 'fireflies' is 9 characters long holding four vowels versus 5 consonants. Word splitting yields 1 word: fireflies. Median word length comes out to nine characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fred.fireflies.ai

Page Load Overview

0.30s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:57%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:57%
Script Type:Latin
Text Length:102 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical52% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
52%
news media journalism
48%
documentation technical
47%
real estate property
40%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.70.108United States
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4D02B3981A1555A67739AECBD4279A84A95F60994324D417184947089C345BC443180

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B9637i+IR4bSkP/U/W4EJTYNdxELa:kxV7HfLi+qWzJTY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:ba999416652ad9d1475489047a0e93d0

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:991d1d1d1d1d1d1d
Difference Hash:b000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#5e2d86

Other Hashes

Crop Resistant:b000000000000000

Scan History

Scan history not available

Unable to load historical scan data