Security Scan Report: cont17ct-telavi-biz-norek-zumli.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 2 domains to perform 8 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://cont17ct-telavi-biz-norek-zumli.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake Meta/Facebook appeal portal on a pages.dev subdomain, mimicking official branding and support wording. No form on this page, but it is part of an impersonation funnel - do not enter credentials or reference codes.

Risk Factors (5)
Impersonation of Meta/Facebook brand on a non-Meta, unranked Cloudflare Pages subdomain
Phishing-style account-appeal workflow designed to collect user submissions/credentials on preceding steps
Coercive language pressuring victims not to disclose the reference code to anyone
Free instant-hosting subdomain with unknown creation date, inconsistent with an official Meta property
Copied Meta/Facebook chrome (language list, footer navigation) to appear official
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'cont17ct-telavi-biz-norek-zumli.pages.dev' is registered with subdomain 'cont17ct-telavi-biz-norek-zumli'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Breaking it apart gives one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cont17ct-telavi-biz-norek-zumli.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan cdd5943f

Page Load Overview

1.04s
Total Load Time
466 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
2172.66.46.228Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.45.28Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
84--

Detected Technologies4

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:#b7bf40

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data