Security Scan Report: auth.fitit.ai

Submitted: May 24, 2026, 12:33:23 AMCompleted: May 24, 2026, 12:34:48 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is auth.fitit.ai and was registered NaN years ago.

Submitted URL: https://auth.fitit.ai

The Cisco Umbrella rank of the primary domain is #663,572 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no malicious indicators, has an established domain, and contains no credential or payment forms.

Safety Factors
Established domain age
Self‑branding only (no impersonation)
Clean threat intelligence and malware scans
Domain age information unavailable

Details

Page Title

Authentication Fitit

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'auth.fitit.ai' uses the Anguillan country-code top-level domain (.ai) and includes subdomain 'auth'. Its registrable label 'fitit' stretches across 5 characters containing two vowels alongside 3 consonants. Word splitting yields two words: fit, it. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://auth.fitit.ai

Page Load Overview

8.91s
Total Load Time
4
HTTP Requests
2
Domains
5 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
HTML Lang Attribute:en
Text Length:20 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as unknown

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
2142.251.110.94United States
AS15169Google LLC
2199.36.158.100United States
AS54113Fastly, Inc.
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D291439A05B31022446782992FBB7012550190F7AA9EF8583FDE03A45F8E54FECE33DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Tp2O2kLowgYs9g5a2OvPrf2dct3G6yvZgFayk18K0Tl5IA5J9fjW80vWwMURq04:TUO2kLo57h2J61zyvlH2IA5J9bZRXx/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4542:NhjAA0YIAAAYEBAASAoEDAFgVCgQEFI4gCNQASmAJAQAgAACACiJBAECIogBRYQKFAIAEBAChGQwgAWGmCIBOCggIpAUCRgA

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:ffffffe7e7ffffff
Perceptual Hash:b326cc993366cc99
Difference Hash:0000000808000000
Wavelet Hash:03030f07e4fcf0f0
Color Hash:#473a78

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data