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Security Scan Report: draveni-gld-felqumi-p2t6hc17.pages.dev

Redirected to:
https://draveni-gld-felqumi-p2t6hc17.pages.dev/send_appeal_request/
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Submitted: Jul 9, 2026, 12:45:18 PMCompleted: Jul 9, 2026, 12:47:29 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 11 HTTP transactions. The main domain is draveni-gld-felqumi-p2t6hc17.pages.dev and was registered NaN years ago.

Submitted URL: http://draveni-gld-felqumi-p2t6hc17.pages.dev/send_appeal_request/

Effective URL: https://draveni-gld-felqumi-p2t6hc17.pages.dev/send_appeal_request/Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page uses Meta branding on an unknown subdomain and matches a known phishing kit, indicating high‑risk credential phishing.

Risk Factors
Brand impersonation on unranked hosting subdomain
Presence of analyst‑vetted phishing kit
Use of Meta brand name without official domain
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(85%)

Domain Information

You're looking at domain 'draveni-gld-felqumi-p2t6hc17.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'draveni-gld-felqumi-p2t6hc17'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Splitting it apart reveals one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://draveni-gld-felqumi-p2t6hc17.pages.dev/send_appeal_request/

Page Load Overview

1.53s
Total Load Time
11
HTTP Requests
4
Domains
20 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,622 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network85% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
85%
technology software
57%
documentation technical
56%
adult content
52%
government public service
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2157.240.0.13Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
115--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197A20AB065B8236E569783F9651B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gAoS10lNvEiVDJVAFZnuyr17hpS/BHYO86tM7m/+ATcf2W++TaDv:gAmlNvEiVDTmuy57hpS/ZYtIcf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22062:gCAUJwVSUADVKiiBLAXIgclyCiJvQpACwC0UTCBirVgSCSjAKORBAJgBbB4UgQFBAKJ5QwiAQErBSA8KJLCAjv1QglEakAeX

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:c3c3dfdfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:0e062c2c0ece4d4e
Wavelet Hash:8ec28286c3e3e7e3
Color Hash:#7989d2

Other Hashes

Crop Resistant:0e062c2c0ece4d4e

Scan History

Scan history not available

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