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Released — Schema Support, Cleaner Internals & What’s Next

RunAPI just got a solid upgrade. The latest version introduces schema support, improves internal architecture, and sets the foundation for better testing and database extensibility — while keeping RunAPI lightweight and d…

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RunAPI just got a solid upgrade.



The latest version introduces schema support, improves internal architecture, and sets the foundation for better testing and database extensibility — while keeping RunAPI lightweight and developer-friendly.



If you’re building APIs with Python and like file-based routing + FastAPI under the hood, this release is for you.









✨ What’s New in This Release






✅ Schema Support (Big One)



RunAPI now supports schemas, making it easier to:




  • Define request and response models

  • Validate inputs consistently

  • Keep APIs structured as they grow



This brings RunAPI closer to real-world production needs while still keeping things simple.









🧹 Code Quality Improvements



A number of internal improvements were merged to clean things up:




  • Python 3.12 compatibility fixes (datetime.utcnow() → datetime.now(timezone.utc))

  • Safer handling of non-Pydantic models

  • Removed deprecated Pydantic v1 patterns

  • Better module loading safety checks

  • Cleaner route name generation



These changes don’t affect public APIs but make RunAPI more robust and future-proof.









🗄️ Storage: In-Memory + SQLAlchemy (Optional)



RunAPI currently supports two storage backends:





  • InMemory storage (default, zero dependencies)


  • SQLAlchemy storage (used only if SQLAlchemy is installed)



If SQLAlchemy isn’t present, RunAPI gracefully falls back to in-memory storage — no crashes, no surprises.



This keeps RunAPI:




  • lightweight by default

  • flexible for more serious use cases









🧠 What We’re Improving Next



With schema support in place, the next focus areas are:






🔍 Better Test Coverage




  • More tests around schemas

  • Edge-case tests for routing and auth

  • Stronger confidence as features grow






🧩 Clear Storage Abstraction



Although InMemory and SQLAlchemy backends already exist, we want:




  • a clear shared interface

  • cleaner backend selection

  • easier future extensions (Redis, etc.)






📚 Better Documentation & Examples




  • Schema usage guides

  • Storage behavior explained clearly

  • Real-world CRUD examples









🤝 Want to Contribute?



RunAPI is still evolving and contributions are very welcome.



Good areas to start:




  • Tests 🧪

  • Docs 📖

  • Storage abstraction 🗄️

  • Examples & templates 🧱



👉 GitHub repo: https://github.com/Amanbig/runapi

👉 Issues: https://github.com/Amanbig/runapi/issues









🏁 Final Thoughts



This release is less about flashy features and more about laying a solid foundation.



Schemas unlock safer APIs.

Cleaner internals unlock faster development.

And the roadmap keeps RunAPI flexible without bloating it.



If you try it out, feedback is more than welcome 🙌



Happy building! 🚀

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - Released — Schema Support, Cleaner Internals & What’s Next
id: bb744102-bfbf-4f52-9732-4d0f5620249c
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "Released — Schema Support, Cle" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Released  Schema Support Cleaner Interna")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Released  Schema Support Cleaner Interna*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Released  Schema Support Cleaner Interna"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Released — Schema Support, Cleaner Inter.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
🔗 Semantisch verwandte Zero-Days MariaDB 11.7 VEC
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