Security Scan: Files

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/b1ece308-6a9e-49ac-9851-74a597fd566a Domain and IP registration (RDAP)/api/v1/rdap/b1ece308-6a9e-49ac-9851-74a597fd566a Certificate Transparency/api/v1/ct/login.joavinlinconindustrlias.com How often this domain was scanned/api/v1/domain/stats/qji11.vercel.app Scan history for this domain/api/v1/domain/history/qji11.vercel.app?limit=15

This website contacted 8 IPs in 2 countries across 6 domains to perform 34 HTTP transactions. The main domain is login.joavinlinconindustrlias.com and was registered 6 years ago.

Submitted URL: http://www.qji11.vercel.app/

Effective URL:

https://login.joavinlinconindustrlias.com/p/a02gGCQ2VwxYvbmcHCRDhrUxlp...

Redirected

AI Security Verdict

High Risk

Confidence: 78%

Risk Score

Fake Adobe Acrobat Reader download page on a look-alike domain reached via a flagged, redirect-hopping Vercel subdomain; OpenPhish phishing report and Spamhaus DROP alert confirm malicious intent. Do not download.

Risk Factors (6)

Brand impersonation of Adobe Acrobat Reader on a mismatched, misspelled look-alike domain

Deceptive hostname login.joavinlinconindustrlias.com inconsistent with the brand it displays

3-hop cross-domain redirect chain originating from a flagged Vercel subdomain

OpenPhish phishing report on the entry domain

Spamhaus DROP listed traffic (HIGH IDS alert) and abused-hosting infrastructure signals

File-download bait ('DOWNLOAD ALL', 'Secured Remote Attachment') with no legitimate software vendor presence

Domain age information unavailable

Details

Page Title

Filessecondary capture

Scan Type

public

Domain Name Analysis

The domain name 'www.qji11.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'www.qji11'. The core label 'vercel' covers 6 characters with two vowels and four consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

1.62s

Total Load Time

313 KB

Total Size

Language Analysis

Primary Language

🇺🇸English

Code: en

Confidence:80%

Script:Latin

Direction:ltr

Detection Details

HTML Lang Attribute:en

Text Length:276 chars

Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence

Type: dynamic

Method: ml+structural

All Detected Categories

technology software

62%

documentation technical

60%

Detected Features

No structural features detected

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
6	64.29.17.67Aws · CLOUD	United States	AS16509Amazon.com, Inc.
4	216.198.79.131Aws · CLOUD	United States	AS16509Amazon.com, Inc.
4	104.18.38.10Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
4	216.198.79.195Aws · CLOUD	United States	AS16509Amazon.com, Inc.
4	216.198.79.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
4	64.29.17.3Aws · CLOUD	United States	AS16509Amazon.com, Inc.
4	172.64.149.246Cloudflare · WAF	United States	AS13335Cloudflare, Inc.
4	85.11.167.134	Amsterdam, North Holland, Netherlands	AS197170TechTies Inc.
34	8	-	-

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12132DA38E101E9BFC9279D85A0767F3F50CB929E82A5C91CA3FCC61403928B95DA6CC5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:alVvZurDn9xaxIQxjyOXOYQOxlLU6+roSMLtRCxC3qrg5FuxcgnqzbJmuY:4TuH/qIwJeYrxlLUH4LSxC3qr0gqXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11745:BkkEIUEFwDDsyQAEImoE0ggwEwAA+lSgBgcCmEEITkfgpBQswEyYgwrIBAHcU2MJCILCDrVCEg6SAVKCChBpmIMBSETUCBSh

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:#ac8253

Other Hashes

Crop Resistant:8706610f2b710420,1050501010101050,0000000000000000

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: www.qji11.vercel.app