Security Scan Report: sp26ct10-zulvako-biz-mareti.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 3 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://sp26ct10-zulvako-biz-mareti.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

Anonymous pages.dev page impersonating Meta's 'Page Appeal' support flow, complete with copied Meta footer and coercive appeal-review language. No form on this confirmation step, but it is the tail of a brand-impersonation account appeal funnel.

Risk Factors (6)
Brand impersonation of Meta/Facebook on a non-Meta domain
Free instant-provisioning hosting subdomain with no attributable creation date
Part of an 'appeal/submit' funnel that mimics an account-recovery credential flow
Unranked domain claiming to be a major brand's support portal
Coercive 'reference code / appeal suspension' pressure language
Cross-origin fetch to get.geojs.io (IP geolocation lookup) from an unrelated host
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'sp26ct10-zulvako-biz-mareti.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sp26ct10-zulvako-biz-mareti'. The core label 'pages' covers 5 characters holding two vowels versus three consonants. Segmentation suggests 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sp26ct10-zulvako-biz-mareti.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan bb5bd6c6

Page Load Overview

2.97s
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
4172.66.47.115Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.44.141Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
83--

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:#693a78

Other Hashes

Crop Resistant:2a8e8ccc9cdc8e86

Scan History

Scan history not available

Unable to load historical scan data