ScanMalware.com

Security Scan Report: 0967-ssa-02.vercel.app

Site favicon
Submitted: Sep 13, 2026, 12:45:38 PMCompleted: Sep 13, 2026, 12:47:07 PMpubliccompleted

Summary

This website contacted 11 IPs in 2 countries across 7 domains to perform 2 HTTP transactions. The main domain is 0967-ssa-02.vercel.app and was registered 20 years ago.

Submitted URL: https://0967-ssa-02.vercel.app/en/index.html

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake software-update page impersonating Adobe Reader/ScreenConnect on an unknown-age vercel.app subdomain, prompting a malicious download; IDS silent ScreenConnect install alert corroborates. High risk.

Risk Factors
Brand impersonation of Adobe Reader on a domain that is not Adobe's
Deceptive fake 'out-of-date reader / driver update' download page
IDS ScreenConnect silent-install hunting alert matching the page's lure content
Suspicious external resource domain (connect.socialadministrationl.online)
Noindex-free, unranked free-hosting subdomain concealing true origin
Domain age information unavailable

Details

Page Title

Cloud Share

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

download file sharing

(68%)

Domain Information

The domain '0967-ssa-02.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain '0967-ssa-02'. The core label 'vercel' covers 6 characters containing 2 vowels alongside 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://0967-ssa-02.vercel.app/en/index.html

Page Load Overview

5.52s
Total Load Time
16
HTTP Requests
7
Domains
13.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:512 chars
Detector Agreement:50%

Website Classification

Primary Category

download file sharing68% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
68%
technology software
60%
documentation technical
29%
education learning
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1611--

Page Statistics

16
Requests
7
Unique Domains
242.3 KB
Total Size

Detected Technologies6

JQueryv2.2.4
100%
Bootstrapv4.0.0
100%
Vercel
40%
HSTS
40%
jQuery CDN
20%
Google Hosted Libraries
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18EC08C8FAC18882F29A0A8806890727E1431A6693540CB9EA9E00030AC703D84811800

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVWJhquHbs+LvuhmHT8NWQAlKPUQAXjdHbZNGXI9kBbZWM:h4hqIYWvlHT8NWQAlKPUQyrNVuB9d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:549fc2e002ad5ec70a2d7a65296a984b

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:ffe3e3e3a1000000
Perceptual Hash:e7a1d8de8388d49a
Difference Hash:c686c6474f6870a2
Wavelet Hash:ffe7e7e3a3301000
Color Hash:#78473a

Other Hashes

Crop Resistant:cec6c686464f4f68,264cba74c9b122c0,c686c64f4c607082

Scan History

Scan history not available

Unable to load historical scan data