Security Scan Report: booking.messages.api.avahost.ai

Submitted: Apr 28, 2026, 10:19:49 PMCompleted: Apr 28, 2026, 10:21:06 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 booking.messages.api.avahost.ai and was registered NaN years ago.

Submitted URL: https://booking.messages.api.avahost.ai/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site; no malicious activity or phishing indicators detected.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors
No forms or credential fields on the page
Low JavaScript obfuscation score (standard minification)
No IDS or Suricata alerts
Domain age information unavailable

Details

Page Title

Export Réservations

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

healthcare medical

(27%)

Domain Information

The domain 'booking.messages.api.avahost.ai' uses the Anguillan country-code top-level domain (.ai); it also runs on subdomain 'booking.messages.api'. The core label 'avahost' covers 7 characters with 3 vowels and four consonants. It segments into two words: ava, host. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://booking.messages.api.avahost.ai/

Page Load Overview

0.50s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:99 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical27% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.37.250.133Paris, Île-de-France, France
AS16509Amazon.com, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F091841B356604043E636499AF6BD304BE25C5039606E424BC9EF484CFF4A918DBF6DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:dDcE4+8dm+p7VFfxREgUTrncrJeu6Q9lVqG7DM6/RmWTtiwcr46xurb0kG:FcE4+r+p7VFfxRbUTrcrJF6Q/Vn7g6/c

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4615:LQgAgARgIAAQEBTgwVFAQQkgwQEBgAAABABQUhkAABAgHECABAIDIQiASAQgAdMACQywCCgSDmmQAAAJgEYAACgKwAGmgYII

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:ffffe7efe7e7ffff
Perceptual Hash:b399cc6633992666
Difference Hash:0010080a4d0c1000
Wavelet Hash:fcfce0e800180c0c
Color Hash:#986ce0

Other Hashes

Crop Resistant:0010080a4d0c1000

Scan History

Scan history not available

Unable to load historical scan data