Security Scan Report: files.app.futr.ai

Submitted: Mar 1, 2026, 11:45:13 AMCompleted: Mar 1, 2026, 11:46:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is files.app.futr.ai and was registered NaN years ago.

Submitted URL: https://files.app.futr.ai

The Cisco Umbrella rank of the primary domain is #251,331 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
Well‑established domain (over 7 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low JS obfuscation (standard minification only)
No redirects or external domains
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(35%)

Domain Information

The domain 'files.app.futr.ai' uses the Anguillan country-code top-level domain (.ai) with subdomain 'files.app'. The registrable portion 'futr' spans 4 characters containing one vowel alongside three consonants. Segmentation suggests 2 words: fu, tr. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://files.app.futr.ai

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
1 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:630 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical35% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.107.213.44United States
AS8075Microsoft Corporation
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5516551DAE307A6003A84E06ABE777632EED167F09A5114FAEC4398DBCED50B921905

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:HiFWN15AN427zL7UzczgumyWANp7qgNSJNZNu/urtF:HiFWN15eVf7Lkz7Op7quSfvu/m7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3075:ADCAECAEAAAAFAQAGAECgKANBEgIAACgABAAYBgGAqMABAAQAECIARBAUALUAACAAAQCAggAEglAACBACAAAAABIABACBABB

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:007fffffffffffff
Perceptual Hash:8505050d1f1f3f3f
Difference Hash:f6c0000000000000
Wavelet Hash:007fffff00000000
Color Hash:#86802d

Other Hashes

Crop Resistant:f6c0000000000000

Scan History

Scan history not available

Unable to load historical scan data