Security Scan Report: sp11ct-monzar-biz8-frenok-lavtri.pages.dev

Redirected to:
https://sp11ct-monzar-biz8-frenok-lavtri.pages.dev/appeals/submit-appe...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sp11ct-monzar-biz8-frenok-lavtri.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://sp11ct-monzar-biz8-frenok-lavtri.pages.dev/appeals/submit-appe...
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Meta/Facebook 'Page Appeal' portal on a random pages.dev subdomain, copying Meta branding and footer to look official; phishing threat-intel hit on the domain. Do not enter account details through this flow.

Risk Factors (5)
Brand impersonation of Meta on a non-Meta domain
Deceptive 'appeal submission' funnel likely used to harvest account details on preceding steps
Unranked, unknown-age subdomain on a shared instant-publishing platform
Phishing threat-intel report on the primary domain
Deceptive framing language pressuring the user not to share the reference code
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'sp11ct-monzar-biz8-frenok-lavtri.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'sp11ct-monzar-biz8-frenok-lavtri'. Its registrable label 'pages' stretches across 5 characters split between two vowels and three consonants. It segments into 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sp11ct-monzar-biz8-frenok-lavtri.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 31411110

Page Load Overview

0.55s
Total Load Time
467 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,361 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
83%
technology software
64%
corporate business
36%
documentation technical
31%
e-commerce shopping
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.45.2Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.46.254Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
94--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA02709ACEA0567BEED386DFB161BF6DB2CA149BC147A944B0F811C1C381F948D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gtkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gtBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8421:AQUOIQPloC9EiwS2ogJREoMwiEaGpi8gQHpIXG0M7NoKIgTdmFmADIIJZJrIHDYhAZggcXQEkBJIXEIOyknPAAQJbEVIoCQW

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:ffe7e7e7efefc3e7
Perceptual Hash:b6069c999c669e39
Difference Hash:2a8e8ccc9cdc8e86
Wavelet Hash:ff42c2c2c6c6c2c7
Color Hash:#931f3c

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data