Security Scan Report: eppxqghubp.firebaseapp.com

Redirected to:
https://sid-check-aktivierenupdates.web.app/
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 7 domains to perform 15 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://eppxqghubp.firebaseapp.com/

Effective URL:
https://sid-check-aktivierenupdates.web.app/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 60%

5
Risk Score

Minimal captcha page on unknown-age Firebase hosting with a cross-domain redirect and an email field; no confirmed malware or credential theft, but ownership is unclear.

Risk Factors (3)
Anonymous shared-hosting subdomain with unknown creation date on a free Firebase host
Unexplained cross-domain redirect between random-looking Firebase subdomains
Generic captcha page collecting an email/username field without clear ownership or purpose
Safety Factors (4)
No password or payment fields present
No credential exfiltration or cross-origin credential form detected
No Indicators of Compromise, hunting rule, IDS, or Safe Browsing threats reported
Page is minimal and contains no malware or obfuscated script behavior
Domain age information unavailable

Details

Page Title

Einfaches Captcha

Scan Type

public

Domain Name Analysis

The domain name 'eppxqghubp.firebaseapp.com' uses the commercial generic top-level domain (.com) with subdomain 'eppxqghubp'. Its registrable label 'firebaseapp' stretches across 11 characters containing five vowels alongside 6 consonants. Segmentation suggests 3 words: fire, base, app. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Wir stellen sicher, dass Sie kein Roboter sind. Bitte bestätigen Sie das Captcha

Page Load Overview

0.63s
Total Load Time
235 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:174 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

documentation technical76% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
76%
government public service
64%
adult content
61%
phishing scam
61%
news media journalism
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
4104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
157--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8215645BE758FEAA01198CD605A63DF6CC5C50BDCD042549ABD0A351FD8EDB6C27940

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nhs36Dfinr8idwvIcNpcvM1L/LhoejDaDWHA51RuETLKykzuJxKdcNVvPRNVZRA2:nhsW6nrTGAWAgAWHA517HkmPfr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1361:AAABCAAAAIAAQAAEACAACAAAAAAAgAAAIAAMKUAAIAACQAEAUAAIAAAABAAIAEAJAAIAAAAACQAAABQAAAAAAQAAiAAAAAAA

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:e7e7e7ffffffffff
Perceptual Hash:b3333333646c3333
Difference Hash:0808080000000000
Wavelet Hash:e4e4e4fc00000000
Color Hash:070000001c0

Other Hashes

Crop Resistant:0808080000000000

Scan History

Scan history not available

Unable to load historical scan data