Security Scan Report: grussegeh.firebaseapp.com

Redirected to:
https://search.aipages.dev/en?idm-tlkom.top
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Submitted: Completed: publiccompleted
This website contacted 10 IPs in 3 countries across 8 domains to perform 17 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

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

Effective URL:
https://search.aipages.dev/en?idm-tlkom.top
Redirected

AI Security Verdict

High Risk

Confidence: 84%

8
Risk Score

Access-gate page on a free firebaseapp subdomain that redirects to a hostile .top host and asks for a password through a text field disguised as a password input, with DevTools blocking; phishing IoC and HIGH-severity IDS alerts corroborate. Do not enter any credentials.

Risk Factors (7)
Disguised password field (text input with password placeholder) — deliberate concealment of credential entry
Password-only credential collection with no account identifier, backfilled via redirect to an unrelated .top destination
Unicode confusion characters in the input area (evasion technique)
JavaScript blocks developer tools and page-source inspection
Cross-domain redirect to a '.top' host flagged by HIGH-severity IDS rules as likely hostile
Phishing threat-intel report on the scanned domain (single source, unverified)
Entry point is an unranked, free-tier firebaseapp.com subdomain with no attributable creation date
Domain age information unavailable

Details

Page Title

Latest @ Sites

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'grussegeh.firebaseapp.com' is registered; it also runs on subdomain 'grussegeh'. The core label 'firebaseapp' covers 11 characters containing five vowels alongside six 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

Security scan screenshot of https://grussegeh.firebaseapp.com/

Page Load Overview

3.58s
Total Load Time
323 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:x-default
Text Length:272 chars
Detector Agreement:100%
Language mismatch: Declared as x-default but detected as en

Website Classification

Primary Category

social media network82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
82%
news media journalism
53%
documentation technical
50%
technology software
46%
healthcare medical
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.36.163Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.21.15.148Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.196.251Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1183.60.255.95China
AS4134Chinanet
143.174.247.36Singapore
143.169.95.124Singapore
1183.240.98.228China
AS56040China Mobile communications corporation
1117.187.133.33China
AS138407The Internet Data Center of Guizhou Mobile Communication Company Limited
114.215.183.79China
AS4134Chinanet
1710--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8C1D86AAEE54D361367C1C91176FB0CA9B6D40BDA0BC904B1FCB9901FCBFD54813A54

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:CdEnw8/0oYIiCoT2NNyLUJtZLnDEKs2gmwj:CdCYozLb162hwj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5914:sxHQNhEzMAAIhApQCEIqQgFBYIIACWhIIAKQMGqcKOQLAkEECMgKEAIUoHCAIoglQAJAgMzBzWYjgGwiJmAUAAAEsADERIYC

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:0018181818181800
Perceptual Hash:8c4b337666cc9933
Difference Hash:0f3332333332330f
Wavelet Hash:e0d8d9991b1b1f07
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data