Security Scan Report: zelqumi-nqx-farneta-r8x5hc94.pages.dev

Redirected to:
https://zelqumi-nqx-farneta-r8x5hc94.pages.dev/appeals/submit-appeal-f...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 3 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://zelqumi-nqx-farneta-r8x5hc94.pages.dev/appeals/submit-appeal-form/return

Effective URL:
https://zelqumi-nqx-farneta-r8x5hc94.pages.dev/appeals/submit-appeal-f...
Redirected

AI Security Verdict

High Risk

Confidence: 75%

7
Risk Score

Random pages.dev subdomain presents itself as Meta/Facebook page appeal support. No credential or payment form on this page, but the branding is impersonated and should not be trusted.

Risk Factors (4)
Brand impersonation of Meta/Facebook on a non-official pages.dev subdomain
Appeal and account-restriction language mimicking platform support
Shared hosting platform subdomain with unknown actual creation date
Unranked domain with no apparent legitimate association with Meta
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'zelqumi-nqx-farneta-r8x5hc94.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'zelqumi-nqx-farneta-r8x5hc94'. The registrable portion 'pages' spans 5 characters split between 2 vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://zelqumi-nqx-farneta-r8x5hc94.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan b7ae2571

Page Load Overview

0.57s
Total Load Time
470 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
3188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
93--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA027F9ACFA0567BEED386DFB161BF6DB2CB149BC102A944B0F811C1C381F958D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gAfqRp+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gAFNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8503:rgQQIgAiy58wADXBNIRRRUCgYSIVOuOEAIgQuSC6JQNRIm1FhlE6zNHCQSBRfEUdDJmx4UEvYU4JIEQABQZuMDBOiEmIosqA

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:ffc7e7e7efefc3e7
Perceptual Hash:b626cc999c669a39
Difference Hash:2a8e8ccc9c1c8e86
Wavelet Hash:df034343c7c6c2c7
Color Hash:#8479d2

Other Hashes

Crop Resistant:2a8e8ccc9c1c8e86

Scan History

Scan history not available

Unable to load historical scan data