Security Scan Report: hwcps29vwp-qnkxzqwe-4k7j8d-hwc613-mtvlj85nhr.pages.dev

Redirected to:
https://hwcps29vwp-qnkxzqwe-4k7j8d-hwc613-mtvlj85nhr.pages.dev/send_ap...
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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 4 domains to perform 10 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://hwcps29vwp-qnkxzqwe-4k7j8d-hwc613-mtvlj85nhr.pages.dev/send_appeal_request

Effective URL:
https://hwcps29vwp-qnkxzqwe-4k7j8d-hwc613-mtvlj85nhr.pages.dev/send_ap...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Known 'Meta Page Appeal' phishing kit served on a disposable pages.dev host, impersonating Meta with 24-hour suspension threats to push victims into an appeal-code/credential harvest. Avoid and report.

Risk Factors (6)
Analyst-vetted known phishing kit (meta-page-appeal) matched on page scripts
Impersonation of Meta/Facebook brand on a non-Meta domain
Disposable shared-hosting subdomain with unknown creation date
Urgency and account-suspension threats used to pressure the victim
Requests an 'appeal code'/verification step — the kit's credential-and-code harvesting flow
Scanner-cloaking behaviour attributed to this kit family
Domain age information unavailable

Details

Page Title

Meta for Business | Page Appeal

Scan Type

public

Domain Name Analysis

The domain 'hwcps29vwp-qnkxzqwe-4k7j8d-hwc613-mtvlj85nhr.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'hwcps29vwp-qnkxzqwe-4k7j8d-hwc613-mtvlj85nhr'. Count 5 characters in 'pages' holding two vowels versus three consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Meta Privacy Center A Privacy Center Hom Q 3 © & 0 ® Search Privacy topics More privacy resources Privacy Policy Other rules and articles Settings B Meta Meta Security we Account Review...

Another page of the site in scan 0d65bd62

Page Load Overview

2.29s
Total Load Time
222 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,362 chars
Detector Agreement:93%

All Detected Languages

🇺🇸en(97%)🇵🇹pt(3%)

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.46.239Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.66.45.17Cloudflare · 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.
1172.67.70.233Cloudflare · 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

T12062E6F1099817BD828F83A8A1227B88D2AEB16FF6774014F6AD1BE41FC3C91D957584

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gFkqR9dS1C4WemCDhakDi8On/mOsQVOZ0pugIqnr5bmAwQPWhaHQftiW9Y:gFhS1MqDfDJCVdpMqnrAmOhw63Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14828:JYQiMJAAkDAYjTYgAAAhXgQ4SEIRaiEgsQIBjQwIIOwwSwi8ZIKAkIAUhADwCKQjGxTsoQSAwEKCRGAQgKUpsABpQgAAVr2J

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:9f8fe3fff3e3efe3
Perceptual Hash:e4983823c79367c7
Difference Hash:3a362eacc6cec8cf
Wavelet Hash:0f038383f7e1e6e1
Color Hash:070010001c0

Scan History

Scan history not available

Unable to load historical scan data