Security Scan Report: signin-adobe-x4ou12j0f7c-3d031dfa-9ygwqx748489-4a60f031a-b62a.vercel.app

Redirected to:
blob:https://signin-adobe-x4ou12j0f7c-3d031dfa-9ygwqx748489-4a60f031a-...
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 4 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://signin-adobe-x4ou12j0f7c-3d031dfa-9ygwqx748489-4a60f031a-b62a.vercel.app/

Effective URL:
blob:https://signin-adobe-x4ou12j0f7c-3d031dfa-9ygwqx748489-4a60f031a-...
Redirected

AI Security Verdict

High Risk

Confidence: 78%

8
Risk Score

A vercel.app subdomain named after 'signin-adobe' with the title 'Adobe Cloud' on a non-Adobe host. Randomised subdomain, IP-lookup and workers.dev waterfall cloaking and blob-only content indicate an Adobe-brand impersonation page. Do not enter credentials.

Risk Factors (5)
Brand impersonation: page claims to be 'Adobe Cloud' on a non-Adobe vercel.app subdomain
Randomised, machine-generated subdomain combining 'signin-adobe' with long hex/uuid-like strings
Cloaking/anti-analysis infrastructure: ipapi.co IP lookup, workers.dev waterfall proxy, blob: rendering
Throwaway image host (i.ibb.co) used to stage content
Free shared hosting subdomain with unknown creation date and no domain reputation
Domain age information unavailable

Details

Page Title

Adobe Cloud

Scan Type

public

Domain Name Analysis

The domain name 'signin-adobe-x4ou12j0f7c-3d031dfa-9ygwqx748489-4a60f031a-b62a.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'signin-adobe-x4ou12j0f7c-3d031dfa-9ygwqx748489-4a60f031a-b62a'. The registrable portion 'vercel' spans 6 characters with two vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://signin-adobe-x4ou12j0f7c-3d031dfa-9ygwqx748489-4a60f031a-b62a.vercel.app/

Page Load Overview

1.48s
Total Load Time
34 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

0
Detector Agreement:0%

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
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.66.175.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
145.43.142.3United Kingdom
AS16276OVH SAS
66--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103E1E8A78E0B1D544B68C5C666FF0DC60C8E03CCBCC214DE921EEB89C6CEA3555CA1E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:R8ivSVNhYb8fG9090UR9JxpUSfcXCzUgv23yyDLw+pCU2NSHk/:R8ivSVNhYAWUBxphfc+UgeFDL7+SHk/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6893:AUIARCA2jibEAQgkO0CUWQCIYgEARCCIBVBsksEQlCgEgSiEIFYAM9oAQJQAIgCZQShIAQBQGAKMMAhAbBxfiUNQSGagOLMI

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:0000181818180000
Perceptual Hash:8cd83336c81dc96f
Difference Hash:710d3332b3337541
Wavelet Hash:1cfd1818191f0f3f
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data