Security Scan Report: epistroffi-forou.web.app

Redirected to:
https://www.google.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 8 domains to perform 44 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://epistroffi-forou.web.app/

Effective URL:
https://www.google.com/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

5
Risk Score

Free Firebase subdomain presenting the Greek government brand 'gov.gr' on a non-official domain, with an off-domain redirect. No credential form or malware evidence, but the brand mismatch and unverifiable origin warrant caution.

Risk Factors (3)
Government brand (gov.gr) displayed on a non-official, shared-hosting subdomain, indicating impersonation
Domain age/ownership of the subdomain cannot be verified (platform tenant, not the aged apex)
Off-domain redirect to www.google.com with an ambiguous, non-descriptive hostname
Safety Factors (4)
No credential or payment form present on the page
No Indicators of Compromise, YARA malware patterns, or known phishing kit signatures
No JavaScript credential exfiltration or cross-origin form submission detected
The scanner/client content mismatch is consistent with ordinary bot protection
Domain age information unavailable

Details

Page Title

gov.gr

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'epistroffi-forou.web.app' is registered with subdomain 'epistroffi-forou'. Count 3 characters in 'web' with one vowel and 2 consonants. Tokenizing the label suggests 1 word: web. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://epistroffi-forou.web.app/

Page Load Overview

0.73s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:3,592 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content56% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
56%
education learning
41%
documentation technical
39%
social media network
36%
news media journalism
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
251.77.64.70Germany
AS16276OVH SAS
2142.251.155.119Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.127.94Google · CDNUnited States
AS15169Google LLC
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.101Google · CDNUnited States
AS15169Google LLC
2142.251.150.119Google · CDNUnited States
AS15169Google LLC
2142.251.152.119Google · CDNUnited States
AS15169Google LLC
4417--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C72112477D628439D37975671C5FA00874B8C74B45448A90BC8C22B5AF20FEDD5E7AAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hVY+n536DnSXnh/MpLRiZcvTRRed5GWyWhMLbMzRReaOo+NcRsUYcTYWgLaj:bBnsSXh/ILoyToLy1MztpWD77Gj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1287:AACAAAAEAAAAAAAAAAABABAAAAIAAAQACIAEggCACIAABAgCEgAAQAAAAggAAJEAAAAAQAAABAAgAAEAKAAAAAAgAAAAAAAg

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:3c3c3c3c3c3c3c3c
Perceptual Hash:9bd9646464737466
Difference Hash:6869696969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#57ac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data