Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is auth.productsup.com and was registered NaN years ago.
Submitted URL: https://platform.productsup.com
Effective URL: https://auth.productsup.com/realms/External-Applications/protocol/openid-connect/auth?client_id=app-platform&redirect_uri=https%3A%2F%2Fplatform.productsup.com%2F&state=f225ffc6-84f1-46b3-9389-d335a61dc76d&response_mode=fragment&response_type=code&scope=openid&nonce=d0973d4a-bbe0-47f8-a800-14cf2aa326d6&code_challenge=o7txkESdu-Aiem4TyloQBiLuGiWzeArwBx2y4bMSUL0&code_challenge_method=S256Redirected
The Cisco Umbrella rank of the primary domain is #285,531 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate Productsup login page with no malicious indicators.
Safety Factors
Details
Page Title
Sign in to Productsup
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Within the commercial generic top-level domain (.com), 'platform.productsup.com' is registered with subdomain 'platform'. The second-level label 'productsup' is 10 characters long holding three vowels versus 7 consonants. Tokenizing the label suggests 2 words: products, up. Median word length is five characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 12 | 185.252.140.131 | Falkenstein, Bavaria, Germany | AS200249Products Up GmbH |
| 10 | 13.32.121.93 | New York, New York, United States | AS16509Amazon.com, Inc. |
| 10 | 142.251.20.94 | United States | AS15169Google LLC |
| 10 | 104.18.40.68 | United States | AS13335Cloudflare, Inc. |
| 42 | 4 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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