Security Scan Report: uni-billing.sifalo.cloud

Submitted: Nov 13, 2025, 1:42:09 PMCompleted: Nov 13, 2025, 1:42:52 PMpubliccompleted
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Summary

This website contacted 2 IPs in 0 countries across 2 domains to perform 7 HTTP transactions. The main domain is uni-billing.sifalo.cloud and was registered NaN years ago.

Submitted URL: https://uni-billing.sifalo.cloud/

AI Security Verdict

High Risk

Confidence: 85%

10
Risk Score

Likely phishing site targeting students; do not submit any information.

Risk Factors
Very new domain (<30 days) with data‑collection form
Collection of personally identifiable information (Student ID, name, email) under the guise of payment
Unranked/low‑reputation domain impersonating a billing portal
Domain age information unavailable

Details

Page Title

sifalo-student-pay

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(56%)

Domain Information

The domain 'uni-billing.sifalo.cloud' uses the .cloud top-level domain; it also runs on subdomain 'uni-billing'. The core label 'sifalo' covers 6 characters split between 3 vowels and three consonants. Tokenizing the label suggests three words: s, if, alo. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uni-billing.sifalo.cloud/

Page Load Overview

23.40s
Total Load Time
7
HTTP Requests
2
Domains
131 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:372 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking56% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
56%
technology software
33%
government public service
29%
education learning
29%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4185.158.133.1UnknownUnknown
393.113.63.82UnknownUnknown
72--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3B2B741740C123CBD2FD664FEC4A32DA129B042EEA64426A14D145FE6D3FF526FAFA4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:BjAO8U5Q6nBOmEAUU/cxksc64Jysq7vGdYOKWxBiL:9MsnB7cxksc64Jysq7vGdYOKWxBiL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23767:hoGAUABzMMBFsRDHMiGMEAgpwRiJQDCTRIALXAUuNAhOIAaBpjACjxJAAiIABcBYSPSrCASCzQgFEaEEokCCA2gj4mFAGWMg

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:f6e7cfdfffc3c3ff
Perceptual Hash:b3ce6664cc319999
Difference Hash:2c0d1918301c0d68
Wavelet Hash:e0c0ccdd9f1f0327
Color Hash:#d27992

Other Hashes

Crop Resistant:2c0d1918301c0d68

Scan History

Scan history not available

Unable to load historical scan data