Security Scan Report: up.picr.de

Redirected to: https://picr.de/

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Submitted: Feb 7, 2026, 11:59:43 PMCompleted: Feb 8, 2026, 12:00:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is picr.de.

Submitted URL: https://up.picr.de

Effective URL: https://picr.de/Redirected

The Cisco Umbrella rank of the primary domain is #462,859 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Login form on an unknown, low‑reputation domain suggests phishing; do not enter credentials.

Risk Factors
Credential harvesting form on an unknown‑age domain
Low domain reputation (ranked outside top 100k)
Domain age not verifiable, treated as new
Domain age information unavailable

Details

Page Title

up.picr.de

Scan Type

public

Language

🇩🇪

German

(59% confidence)

Category

blog personal website

(90%)

Domain Information

The domain 'up.picr.de' uses the German country-code top-level domain (.de), featuring subdomain 'up'. The registrable portion 'picr' spans 4 characters holding 1 vowel versus 3 consonants. Word splitting yields 2 words: pic, r. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://up.picr.de

Page Load Overview

7.60s
Total Load Time
10
HTTP Requests
2
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:59%
Script Type:Latin
Text Length:3,335 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website90% confidence
Type: webapp
Method: ml+structural

All Detected Categories

blog personal website
90%
news media journalism
82%
social media network
80%
technology software
79%
forum community discussion
54%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1095.216.14.216Germany
101--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8OldG:yhoC9JSqzzbs6o3Sj3gcrsY2eAc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184441:4A7DIABtxjEgopMFVIhgqGRCDBlmQACBwNBBiAOMkcBwBFyKARB4ZURIBxBkKFIiQnQEIUQSMMEYhucC6pxDQAgjCegS6VzZ

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:ffcfc3cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00181c1800000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#40bf9b

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data