Security Scan Report: marnavi-kxt-zenqumi-c2x8hk19.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://marnavi-kxt-zenqumi-c2x8hk19.pages.dev/appeals/submit-appeal-form/return/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Fake 'Meta for Business | Page Appeal' receipt page on a random pages.dev subdomain, impersonating Facebook's support flow as part of a credential-phishing funnel. Not a Meta site; do not enter any data.

Risk Factors (5)
Impersonation of Meta/Facebook brand on a non-Meta domain
Randomized subdomain on a free instant-publishing platform (pages.dev) with unknown creation date
Fake 'Page Appeal' workflow replicating Facebook business-support terminology to pressure victims into submitting account details
Copied Facebook navigation/footer links used as visual disguise
Domain unranked in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'marnavi-kxt-zenqumi-c2x8hk19.pages.dev' on the developer-focused generic top-level domain (.dev) with subdomain 'marnavi-kxt-zenqumi-c2x8hk19'. Count 5 characters in 'pages' split between 2 vowels and three consonants. Segmentation suggests 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

facebook Meta Request Submitted Thank you for submitting your appeal. Our dedicated support team will conduct a thorough review of your case within the next 24-48 business hours (excluding Saturdays...

Page Load Overview

0.73s
Total Load Time
472 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
7188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
84--

Detected Technologies3

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:ffe7e7e7efefc3e7
Perceptual Hash:f6668c998c669a39
Difference Hash:2a0e8c4c1c1c8c06
Wavelet Hash:ffc2c2c2c6c6c0c7
Color Hash:07c00008040

Other Hashes

Crop Resistant:2a0e8c4c1c1c8c06

Scan History

Scan history not available

Unable to load historical scan data