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My new thesis - Go Linter in Rust

Thesis Project Idea Hello everyone, I am in the last year of my Bachelor's Degree in Software Engineering, which means I need to complete a thesis to officially finish. I wanted to do something challenging and outstanding. My initial…

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Thesis Project Idea



Hello everyone, I am in the last year of my Bachelor's Degree in Software Engineering, which means I need to complete a thesis to officially finish.



I wanted to do something challenging and outstanding. My initial idea was to implement a text/code editor in Rust. While that idea had potential—it’s easy to layer a text editor and add new features—I wanted to create something genuinely useful. Let's be real: no one would use my editor, which would essentially be a low-budget copy of Zed.






Final Idea



I decided to switch to creating a Go Linter implemented in Rust.



I know the Go community is strict, so implementing my own rules from scratch would make little sense. Then the perfect idea came to me:




  • Base the linting rules on the popular book "100 Go Mistakes and How to Avoid Them" by Teiva Harsanyi.

  • This book is widely accepted in the Go community as a reference for writing good Go code.


  • The linter can be layered.


  • I could write my own parser or use an existing one.


  • I might implement a domain-specific language (DSL) for defining linting rules, as my mentor is well-versed in DSLs.




These aspects are still open questions, but I’m really excited about this project. It could potentially be used by others—who knows, maybe it will become the Go equivalent of Ruff for Python.



Thanks for reading. Cya.

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - My new thesis - Go Linter in Rust
id: d6917250-d2a5-4bf6-8d2c-11fd397618bb
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
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 = "2026-09-27"
        description = "YARA Signature for "
    strings:
        $str = "My new thesis - Go Linter in R" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("My new thesis - Go Linter in Rust")
| 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: "*My new thesis - Go Linter in Rust*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "My new thesis - Go Linter in Rust"
| 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:

Analyse für identifizierte Bedrohung auf Basis von Live-CTI (ENISA EUVD): CVSS 0.0 · EPSS 0.0% · CISA KEV: nein. Handlungsableitung aus den verlinkten Hersteller-Quellen.

🛡️ 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.
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