Security Scan Report: app-new.francoli.it

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Submitted: Feb 22, 2026, 4:04:22 PMCompleted: Feb 22, 2026, 4:06:11 PMpubliccompleted
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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 app-new.francoli.it and was registered NaN years ago.

Submitted URL: https://app-new.francoli.it/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No threats detected; site appears legitimate but currently unreachable.

Safety Factors
Well‑established domain
Standard hosting with no suspicious configuration
No credential or payment forms
No malicious Indicators of Compromise
No detected malware or IDS alerts
Domain age information unavailable

Details

Page Title

app-new.francoli.it

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Within the Italian country-code top-level domain (.it), 'app-new.francoli.it' is registered, featuring subdomain 'app-new'. Count 8 characters in 'francoli' with 3 vowels and 5 consonants. Word splitting yields two words: franco, li. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app-new.francoli.it/

Page Load Overview

1.55s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:17 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
393.57.46.89Milan, Lombardy, Italy
AS12874Fastweb
31--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8Old4:RhoC9JSqzzbs6o3Sj3gcrss2eAm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184486:QEmIEK2oClgA9khoEIchLCAAcoA6ViGAIiAUAG2qBI4oEbND4LuVI61JwrF2FkAiAF4KCqggAACSQCRaATSAQOyS2CDKw1Bg

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#382dd2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data