Security Scan Report: prodprod.se

Redirected to:
https://www.produktionproduktion.se/.well-known/sgcaptcha/?r=%2F&y=ipr...
Submitted: Oct 11, 2026, 3:40:26 PMCompleted: Oct 11, 2026, 3:40:59 PMpubliccompleted

This website contacted 5 IPs in 2 countries across 3 domains to perform 13 HTTP transactions. The main domain is produktionproduktion.se and was registered 18 years ago.

Submitted URL: https://prodprod.se

Effective URL:

https://www.produktionproduktion.se/.well-known/sgcaptcha/?r=%2F&y=ipr...
Redirected

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Plain CAPTCHA/bot-verification interstitial reached via a cross-domain redirect. No credential or payment forms, no Impersonation, no threat-intel or malware hits. Unranked destination with unknown age, so minimal residual uncertainty.

Risk Factors (1)
Cross-domain redirect from prodprod.se to produktionproduktion.se lands on an unranked domain of unknown age, so the page's actual operator is not verifiable from this capture
Safety Factors (4)
No credential, password or payment fields anywhere on the page (verified DOM form facts)
No threat-intelligence Indicators of Compromise, YARA malware, IDS alerts or kit-roster matches
No credential exfiltration and no cross-origin script targets; all JavaScript served from the site's own domain
The page is a generic CAPTCHA/bot-verification interstitial containing no brand claims and no promotional or transactional content
Domain age information unavailable

Details

Page Title

Robot Challenge Screen

Scan Type

public

Domain Name Analysis

The domain 'prodprod.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'prodprod' is 8 characters long split between two vowels and 6 consonants. Segmentation suggests two words: prod, prod. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://prodprod.se

Page Load Overview

0.48s
Total Load Time
60 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:428 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
technology software
71%
news media journalism
62%
adult content
52%
education learning
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
535.214.231.123Google · CDNGroningen, Groningen, Netherlands
AS15169Google LLC
235.214.216.56Google · CDNGroningen, Groningen, Netherlands
AS15169Google LLC
2108.138.2.142Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.2.209Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.2.34Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
135--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13F241C321224C3F9E9F0C7AC9FA1206F71AA9CC9B172D184DF0B0955D49A8FBE53C599

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rdIbAo6lhnJozvicg3j3kSC4JlEsdhYv5PIbAo6lhnJozvicg3j3kSC4JlEsdhYe:Bm6nK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:214676:BSIGDtVoiDIpMogAGA2UuEIdFQmQDGZSwYASAnQKCWFbA07aChcCYGBMAEQgsw8TD4kgCIIKFgocAB4o01JkAgQEQLACKBEF

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:fcfc0f00bfff3ff0
Perceptual Hash:ce9340b34f3259b6
Difference Hash:a0803175618355c1
Wavelet Hash:7cfc0e003fff00f0
Color Hash:#78583a

Other Hashes

Crop Resistant:a0803175618355c1

Scan History

Scan history not available

Unable to load historical scan data