Security Scan Report: porezna-uprava-f0415.firebaseapp.com

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Submitted: Completed: publiccompleted
This website contacted 13 IPs in 2 countries across 11 domains to perform 20 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://porezna-uprava-f0415.firebaseapp.com/

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Confirmed scam: a firebaseapp.com subdomain impersonating Croatia's Porezna Uprava while its JavaScript contains a critical Telegram-based credential-exfiltration stealer with an embedded bot token.

Risk Factors (5)
Malicious JavaScript: Telegram credential-exfiltration stealer pattern (CRITICAL severity) with embedded Telegram bot token
Brand impersonation of a national tax authority on a non-official, platform-hosted subdomain
Free/instant hosting subdomain with unknown creation date — cannot be treated as established or reputable
Unranked domain claiming to be a major government brand
Off-screen rendering of the page is broken ('ERROR fo Invalid de'), consistent with a hastily deployed or half-broken phishing kit
Domain age information unavailable

Details

Page Title

Porežna Uprava - UPRAVA ZA FINANCIJSKI POVRAT RH

Scan Type

public

Domain Name Analysis

Domain 'porezna-uprava-f0415.firebaseapp.com' uses the commercial generic top-level domain (.com) and includes subdomain 'porezna-uprava-f0415'. The second-level label 'firebaseapp' is 11 characters long split between five vowels and 6 consonants. Segmentation suggests three words: fire, base, app. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://porezna-uprava-f0415.firebaseapp.com/

Page Load Overview

1.44s
Total Load Time
1.8 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

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.217.113.4Google · CDNUnited States
AS15169Google LLC
1142.251.154.119Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
185.209.13.103Croatia
AS41336Financijska agencija
1104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.217.118.4Google · CDNUnited States
AS15169Google LLC
2013--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCF1D5F24F74904E26C3C9E52863F18D4028D127F54B8BAC74ABAA3885C27FF4596727

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nkpGyo6uVJVePqfe/6X/22CEd2zPHW2C5ZWd/XLpe4fdMJYAEM0uAkigdUyny:kcJfzfe/g/fCEe//C/Ijc4f+2vJkigW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8137:kAWJBBiI2UQxoZHGBIohKQeAFklOgeFEx1CXgBgA1QNHCCIkkAtqCBwKxECUBoAIWNQVixmCNCIrFIgwkIChI0IjjQ0U0lYe

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:fffffffffffffffe
Perceptual Hash:d5aa55aa55aa55a8
Difference Hash:0000000000000000
Wavelet Hash:0f0f0f0f0f0f0f0e
Color Hash:#931f3c

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data