Security Scan Report: ylktp2bpzgo-qjrshlsi-6q5n9b-ylkq90c.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://ylktp2bpzgo-qjrshlsi-6q5n9b-ylkq90c.pages.dev/appeals/submit-appeal-form/return

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Fake 'Meta for Business' appeal confirmation on a randomly named pages.dev subdomain, copying Meta's footer and locale list. Clear brand impersonation; the appeal funnel's input step should be treated as a credential-phishing lure.

Risk Factors (5)
Brand impersonation of Meta on a domain the brand does not own
Deceptive, machine-generated hosting subdomain (ylktp2bpzgo-qjrshlsi-6q5n9b-ylkq90c.pages.dev) with no legitimate operator identity
Account-restriction / appeal pretext typical of credential-harvesting funnels, with a preceding 'submit-appeal-form' step in the URL path
Copied brand footer and locale selector used to add authenticity
No verifiable business identity, ownership information, or official brand domain
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'ylktp2bpzgo-qjrshlsi-6q5n9b-ylkq90c.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'ylktp2bpzgo-qjrshlsi-6q5n9b-ylkq90c'. Its registrable label 'pages' stretches across 5 characters with two vowels and three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ylktp2bpzgo-qjrshlsi-6q5n9b-ylkq90c.pages.dev/appeals/submit-appeal-form/return

Another page of the site in scan 2157957e

Page Load Overview

1.35s
Total Load Time
467 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
2188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.0.100Cloudflare · 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

T11502709ACEA0567BEEC386DFB161BF6DB2CA149BC147A944B0F811C1C381F948D28536

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gFkqRa+K0kKnh0hZwB4DuLBqiuzIal1juTdk:gFBNkSuZwVk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8421:AQUOIQPloC9EiwS2ogJREoMwiEaGpi8gQHpIXG0M7NoKIgTdmFiADIIJZJrIHDYhAZggcXQEkBJIXEIOSknPAAQJbEVIoCQW

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