Security Scan Report: a3qtc-s9qx8-1ts8f-9yhh-zaz.pages.dev

Redirected to:
https://a3qtc-s9qx8-1ts8f-9yhh-zaz.pages.dev/send_appeal_request
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://a3qtc-s9qx8-1ts8f-9yhh-zaz.pages.dev/send_appeal_request

Effective URL:
https://a3qtc-s9qx8-1ts8f-9yhh-zaz.pages.dev/send_appeal_request
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

9
Risk Score

Known Meta Page Appeal phishing kit impersonating Meta on a disposable pages.dev subdomain, using false 48-hour suspension threats to drive an appeal action.

Risk Factors (5)
Meta brand impersonation on an unofficial domain
Known malicious Meta Page Appeal phishing kit match
Urgent 48-hour account suspension threat
Disposable hosting subdomain with no verifiable affiliation to Meta
Fake Trust & Safety / policy enforcement language
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain name 'a3qtc-s9qx8-1ts8f-9yhh-zaz.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'a3qtc-s9qx8-1ts8f-9yhh-zaz'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. Tokenizing the label suggests 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://a3qtc-s9qx8-1ts8f-9yhh-zaz.pages.dev/send_appeal_request

Another page of the site in scan fa6c34df

Page Load Overview

2.01s
Total Load Time
224 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
5188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1157.240.0.13Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1104.26.1.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.0.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
106--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T118A21AB065B8236E568783F9655B63E821AE651FF2738050F6FC02B957CACD2FD23580

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:geoS10lNvEiVDJVAFZnuyr17epS/BHYO86tM7U/+ATcf2W++TaDv:gemlNvEiVDTmuy57epS/ZYnIcf2W+++j

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22074:SaAFSRAGM2CvELliBIHqrwgiAmJFAQFHyD2GEBDoIVAIAWTAkgACCBgghal2AYAAAAgTw2AAPppBC5qhBAbI3qBS1koOll8Q

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:c3c3ffdfe7e7e7e3
Perceptual Hash:e7656593989a9a98
Difference Hash:2e062c2c0e4c4c4e
Wavelet Hash:8e8282c6c3e3e7e3
Color Hash:#c59487

Other Hashes

Crop Resistant:2e062c2c0e4c4c4e

Scan History

Scan history not available

Unable to load historical scan data