Security Scan Report: o1uwy-jnis-i8d-rjg-kg7m1.pages.dev

Redirected to:
https://o1uwy-jnis-i8d-rjg-kg7m1.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 0 countries across 3 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://o1uwy-jnis-i8d-rjg-kg7m1.pages.dev/send_appeal_request

Effective URL:
https://o1uwy-jnis-i8d-rjg-kg7m1.pages.dev/send_appeal_request
Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Analyst-vetted Meta 'Page Appeal' phishing kit hosted on an anonymous pages.dev subdomain, using fake 48-hour suspension threats to funnel victims into an appeal flow. Impersonates Meta; do not interact.

Risk Factors (5)
Impersonation of Meta/Facebook Business branding on a non-Meta domain
Known phishing kit fingerprint (Meta Page Appeal kit, meta-page-appeal family)
Artificial 48-hour account-suspension deadline to pressure victims into an appeal flow
Deployed on an anonymous free-hosting subdomain with no verifiable ownership
Unranked domain with no legitimate business legitimacy signals
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

Domain 'o1uwy-jnis-i8d-rjg-kg7m1.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'o1uwy-jnis-i8d-rjg-kg7m1'. The second-level label 'pages' is 5 characters long with 2 vowels and three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://o1uwy-jnis-i8d-rjg-kg7m1.pages.dev/send_appeal_request

Another page of the site in scan aa76cf68

Page Load Overview

0.53s
Total Load Time
263 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,634 chars
Detector Agreement:75%

Website Classification

Primary Category

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

All Detected Categories

social media network
85%
adult content
53%
technology software
51%
documentation technical
48%
corporate business
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3UnknownUnknown
2157.240.0.13UnknownUnknown
2104.26.0.100UnknownUnknown
2188.114.96.3UnknownUnknown
2104.26.1.100UnknownUnknown
105--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4A209B065B5236E568783F9655B63E821AE651FF2638050F6FC02B947CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gmqOS10lNvEiVDJVAFZnu2U78pS/BHYO86tM7nf2W++TQDt/+ATt:gmq4lNvEiVDTmu2U78pS/ZYlf2W++EI4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22049:CA8ChGBGOCDQqRWIkabkEEg2oVIkUDS5MY8BFAnPUgR4IAiPiAACpFEDVJjChIAkTEliDICGOBIdJABEjGFBgFMLkCfISgH4

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:e3c3f7dfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:0e062c2c0e4c0c4e
Wavelet Hash:cec2c2c6e3e2e6e0
Color Hash:#1f5393

Other Hashes

Crop Resistant:0e062c2c0e4c0c4e

Scan History

Scan history not available

Unable to load historical scan data