Security Scan Report: qji11.vercel.app

Redirected to:
https://vpqzxd4ts.haoboaiyundong.com/ddr5vkr4-clwbcdhdgq-fqufz162jo29k...
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 10 domains to perform 56 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://qji11.vercel.app/

Effective URL:
https://vpqzxd4ts.haoboaiyundong.com/ddr5vkr4-clwbcdhdgq-fqufz162jo29k...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Microsoft login $Config clone self-hosted on a non-Microsoft domain behind an Adobe Acrobat document lure and cross-domain redirects — classic Evilginx-style credential/MFA phishing. Avoid; do not enter credentials.

Risk Factors (7)
Reverse-proxy / cloned Microsoft login $Config hosted on an unrelated third-party domain
Brand impersonation of Adobe Acrobat Reader on a non-official domain
Single-source phishing threat-intel match on qji11.vercel.app
Cross-domain redirect chain to haoboaiyundong.com (obfuscated subdomains)
Bot-protection challenge content shown to scanners but real content to residential clients
IDS HIGH alerts (Spamhaus DROP, .cc TLD traffic)
Third-party suspicious resource hosts (greenproxysimpleserver.cc, IP 85.11.167.134) — reputation-only, not content evidence
Domain age information unavailable

Details

Page Title

Files

Scan Type

public

Domain Name Analysis

Domain 'qji11.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'qji11'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 4 consonants. Segmentation suggests 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Get September } ‘Adobe Acrobat Reader © Documents New View Documents New Edit a Documents New Download —_&@ Print Floppy Edt sign J Secured Remote Attachment x Blu —s pice 2, DOWNLOAD ALL

Page Load Overview

0.54s
Total Load Time
768 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:244 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
56%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
6104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
685.11.167.134Amsterdam, North Holland, Netherlands
AS197170TechTies Inc.
6104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
62.20.245.180Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
569--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB32DA39E501E9AFC9279D85A036BF3E50CB919EC6A5C91CA3FCC61403928B94DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZuzDn9xaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuxcgnqzbJmuY:4TuP/qIwJeYrxlLUH4LSxC3qr0gqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11904:CMGKBQkgNHpRhOgFijBVCSAhOoiA0MCwAaiS2GCBoJgEAigQJCCjjAzGIwIJlHJMSkYGhVAAPRCDtIMyQFB1ooiTyxVgjhIA

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:00e3ff8181bfffff
Perceptual Hash:ff60405f4b591b62
Difference Hash:50060e2b2b710421
Wavelet Hash:00c3c7818189ffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data