Security Scan Report: review-c09b5.web.app

Redirected to:
https://www.facebook.com/login/?next=https%3A%2F%2Fwww.facebook.com%2F...
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 4 domains to perform 37 HTTP transactions. The main domain is web.app and was registered 7 years ago.

Submitted URL: https://review-c09b5.web.app/

Effective URL:
https://www.facebook.com/login/?next=https%3A%2F%2Fwww.facebook.com%2F...
Redirected

AI Security Verdict

High Risk

Confidence: 95%

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.

Domain age information unavailable

Details

Page Title

Facebook

Scan Type

public

Domain Name Analysis

The domain 'review-c09b5.web.app' uses the application-focused generic top-level domain (.app) with subdomain 'review-c09b5'. The second-level label 'web' is 3 characters long with 1 vowel and 2 consonants. Segmentation suggests 1 word: web. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://review-c09b5.web.app/

Page Load Overview

0.18s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,012 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network44% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
9157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
9157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
9157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
374--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B944A05FA08C8720E370FE1E4AA79476B8D041B9DC95994C1AEBF7935C77F8721B60A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:shqHmlLLAR60wLeAqzvuiZGisM6xNYzUKo+GnIWnIjiD99jifXNaibFkSkRhznML:sh5lHAKLgVZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:427227:aRGAWY5PkiA4LwQQ5xASIKUgkHVSgAIggsMRQAIRMFDRHYReGVwEIFGQCwJkVxiN85hAoCwQhcMiAKscfSABcE4IAcwhJUbK

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:003c3c3c3c3c3800
Perceptual Hash:8adb25267164bc9d
Difference Hash:8d69717979e1e11f
Wavelet Hash:013d3d3c3d3d3d01
Color Hash:07002000180

Scan History

Scan history not available

Unable to load historical scan data