Security Scan Report: sp11ct-selvik-biz8-tormex-janlor.pages.dev

Redirected to:
https://www.facebook.com/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 41 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp11ct-selvik-biz8-tormex-janlor.pages.dev/

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

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Meta/Facebook 'Page Appeal' credential-phishing kit on a disposable pages.dev subdomain; it cloaks scanners, mimics a Meta login and harvests email/password. Do not enter credentials.

Risk Factors (5)
Known credential-phishing kit ('Meta Page Appeal') identified by two analyst-vetted roster signatures
Brand impersonation of Meta/Facebook on a non-official, unranked disposable hosting subdomain
Credential-harvesting login form (email/mobile number + password field) on the fake Meta page
Bot-protection/cloaking mismatch: scanner sees a block/decoy while residential clients receive the phishing lure; redirect to real facebook.com to defeat scrutiny
Phishing threat-intel match on the hosting subdomain (single-source, unverified)
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp11ct-selvik-biz8-tormex-janlor.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'sp11ct-selvik-biz8-tormex-janlor'. Count 5 characters in 'pages' with 2 vowels and 3 consonants. It segments into 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp11ct-selvik-biz8-tormex-janlor.pages.dev/

Page Load Overview

0.93s
Total Load Time
2.4 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: webapp
Method: ml+structural

All Detected Categories

social media network
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
417--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13001FE13CC10D48DA67093AFFD72B17CC94AB90CAAA17C50B8C615DB4BE0BE0CC67856

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hR0n56M8C2Zn816pX8VGuaXiKMci/CrC+yAVe17BuTG7faKj2a:hR056tC3spXoGa3WC+dVqkC75j2a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:707:AAAAAAAAAACAABAAAAgAAAAAAAAAAACAAAgBAAAIAAAgAQIAAAAAAAAABAAAAAAAAAQAgAABAAAAAAAAAAAAAAAgAAAQAAAA

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:3fffffffffffffff
Perceptual Hash:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#7982d2

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data