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Security Scan Report: c17pu9o6k3-3755b1f233.vercel.app

Redirected to:
https://c17pu9o6k3-3755b1f233.vercel.app/ads-manager-config-7776273758...
Site favicon
Submitted: Sep 6, 2026, 1:45:11 PMCompleted: Sep 6, 2026, 1:48:44 PMpubliccompleted

Summary

This website contacted 11 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is c17pu9o6k3-3755b1f233.vercel.app and was registered 6 years ago.

Submitted URL: http://c17pu9o6k3-3755b1f233.vercel.app/ads-manager-config-7776273758593826.html

Effective URL: https://c17pu9o6k3-3755b1f233.vercel.app/ads-manager-config-7776273758593826.htmlRedirected

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

The page impersonates Meta brand on an unknown-age subdomain with a weak phishing IoC but no credential collection, resulting in moderate risk.

Risk Factors
Unranked subdomain on a shared hosting platform
Brand impersonation of a major entity (Meta) without legitimate affiliation
Single-source phishing IoC on the primary domain
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

adult content

(70%)

Domain Information

Domain 'c17pu9o6k3-3755b1f233.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'c17pu9o6k3-3755b1f233'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and four consonants. It segments into two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://c17pu9o6k3-3755b1f233.vercel.app/ads-manager-config-7776273758593826.html

Page Load Overview

6.85s
Total Load Time
24
HTTP Requests
6
Domains
274 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:1,469 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
70%
government public service
59%
blog personal website
52%
news media journalism
50%
social media network
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.195United States
AS16509Amazon.com, Inc.
2216.198.79.3United States
AS16509Amazon.com, Inc.
2172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2159.89.102.253Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2411--

Page Statistics

24
Requests
6
Unique Domains
453.9 KB
Total Size

Detected Technologies4

Cloudflare
50%
Tailwind CSS
30%
jsDelivr
20%
cdnjs
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C801DD8F04D0941A1250A255F8E6B029CC8B452F4AA84E52BCF815385FE86A994EB89D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRjyLqAc2SJS+pRQcclboZPDFP2OL/xLhVG:hRjOqftJ9RbcNgDFuGhVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:658:AAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAIBBAAAAAAAAAAAAAAAAAAACAACAAAAAAAAgDgAAAAAAAAAAAAAAAAAAAAgAA

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:c7c7c3c3e7ffffff
Perceptual Hash:b37198ce269cccc6
Difference Hash:9c9f9f8e4d324dca
Wavelet Hash:c4c0c1c3c70f1f3f
Color Hash:#783a55

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data