Security Scan Report: customer-iam-297e8.firebaseapp.com

Redirected to:
https://www.facebook.com/login.php?skip_api_login=1&api_key=2416230733...
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Submitted: Completed: publiccompleted
This website contacted 17 IPs in 2 countries across 13 domains to perform 151 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://customer-iam-297e8.firebaseapp.com/

Effective URL:
https://www.facebook.com/login.php?skip_api_login=1&api_key=2416230733...
Redirected

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

This page on free hosting leads, one click in, to a sign-in form of the kind used to steal passwords — rated high risk on that basis.

Risk Factors (2)
Login form is served on customer-iam-297e8.firebaseapp.com, a shared Firebase hosting tenant whose actual creation date is unknown, rather than on the brand's own login.new.de domain
Brand name 'NEW' appears on a firebaseapp.com hostname, a mild host/brand mismatch that is also the normal shape of a Firebase Auth 'auth domain' embedded in a brand's sign-in flow
Domain age information unavailable

Details

Page Title

Login NEW

Scan Type

public

Domain Name Analysis

The domain name 'customer-iam-297e8.firebaseapp.com' uses the commercial generic top-level domain (.com) and includes subdomain 'customer-iam-297e8'. The second-level label 'firebaseapp' is 11 characters long holding five vowels versus 6 consonants. Segmentation suggests three words: fire, base, app. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://customer-iam-297e8.firebaseapp.com/

Page Load Overview

2.14s
Total Load Time
3.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:1,370 chars
Detector Agreement:75%

Website Classification

Primary Category

blog personal website95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
95%
social media network
91%
government public service
80%
technology software
74%
news media journalism
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
8142.251.110.97Google · CDNUnited States
AS15169Google LLC
835.241.3.184Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8172.217.113.4Google · CDNUnited States
AS15169Google LLC
835.190.14.188Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8172.217.114.4Google · CDNUnited States
AS15169Google LLC
834.120.28.121Google · CDNKansas City, Missouri, United States
AS396982Google LLC
835.201.111.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8172.217.117.4Google · CDNUnited States
AS15169Google LLC
8172.217.119.4Google · CDNUnited States
AS15169Google LLC
15117--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171F21EA2F1E6044F3127482B6C25F3B8773D125C4E41EF74662DBAA913CA7C6DA7B046

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LfZMdkCpBXuOHIgcch3vXiU9Oyw6mhxd28Pwa4gZx3x2cdmIwCEJbfUUdGy+az1e:LhNL0dW5OdGzSjMRmzoNJg6n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36745:FCRAWBHCGOtkFhISKCQYaAgEhCDAACUxcSYBgIB14WKPAACUTEQYYVAhAoGIihTCeAgetBApCCHoBLBqgDDWiRQkpdRINNAU

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:0000183c3c100000
Perceptual Hash:8ab931e4ce9964e6
Difference Hash:b105617961619d61
Wavelet Hash:05013d3d3d3dd101
Color Hash:#b7bf40

Scan History

Scan history not available

Unable to load historical scan data