Security Scan Report: uprava-eporezna.web.app

Redirected to:
https://e-porezna.porezna-uprava.hr/Prijava.aspx?ReturnUrl=%2f
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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 2 countries across 7 domains to perform 51 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://uprava-eporezna.web.app/

Effective URL:
https://e-porezna.porezna-uprava.hr/Prijava.aspx?ReturnUrl=%2f
Redirected

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Redirect ends on the real Croatian tax authority domain, but the delivery path is a free web.app host with a CRITICAL hunting rule stealer pattern and an embedded Telegram bot token; do not enter credentials via this link.

Risk Factors (5)
Critical malware-pattern JavaScript (Telegram credential exfiltration / stealer) present in the scanned page resources
Telegram bot token embedded in a script loaded from the entry Firebase host, a known exfiltration technique
Free hosting subdomain (uprava-eporezna.web.app) created at an unknown date masquerading as a national tax authority name
Title served to the residential client ('Uprava za financijski povrat RH') is inconsistent with the official ePorezna portal title
Bot-protection page shown to the datacenter scanner masks the real content from automated inspection
Domain age information unavailable

Details

Page Title

Porežna Uprava - UPRAVA ZA FINANCIJSKI POVRAT RH

Scan Type

public

Domain Name Analysis

Domain 'uprava-eporezna.web.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'uprava-eporezna'. Count 3 characters in 'web' split between 1 vowel and two consonants. Splitting it apart reveals 1 word: web. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uprava-eporezna.web.app/

Page Load Overview

2.76s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

🇸🇮SL
Code: sl
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:48 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as sl

Website Classification

Primary Category

technology software68% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
68%
finance banking
66%
government public service
54%
documentation technical
45%
corporate business
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
5104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
5104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.217.116.4Google · CDNUnited States
AS15169Google LLC
5185.20.29.73Croatia
AS199401APIS IT d.o.o.
5151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
5104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5172.217.117.4Google · CDNUnited States
AS15169Google LLC
5110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D841A09B2D14C08766421ECDB4F1B44C2C86C80FA841CDDAB0DE873A0F537DF9C6A828

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TMAGy/H/kEVJVcPNJejfepanEr40W5AWFB3j:TBGyzVJVePWfepanEM0uAo3j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2364:gAAAJAAiAAAIARQRKAACAACAgACBAABAAkKASAAQoEKEAABAEBEBAACIQAAAgACAQAAAGAGAAAAAAEgAhAAAEAIgglAABAgQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data