CVE-2024-23997

9.6 CRITICAL

📋 TL;DR

CVE-2024-23997 is a cross-site scripting (XSS) vulnerability in Lukas Bach yana versions ≤1.0.16 that allows attackers to inject malicious scripts via the src/electron-main.ts file. This affects users running vulnerable versions of the yana application, potentially compromising their browser sessions and data.

💻 Affected Systems

Products:
  • Lukas Bach yana
Versions: ≤1.0.16
Operating Systems: All platforms running Electron
Default Config Vulnerable: ⚠️ Yes
Notes: Affects Electron-based applications using vulnerable yana versions.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Attackers could execute arbitrary JavaScript in users' browsers, leading to session hijacking, credential theft, or malware delivery.

🟠

Likely Case

Attackers inject malicious scripts to steal session cookies or redirect users to phishing sites.

🟢

If Mitigated

With proper input validation and output encoding, the risk is reduced to minimal impact.

🌐 Internet-Facing: HIGH
🏢 Internal Only: MEDIUM

🎯 Exploit Status

Public PoC: ⚠️ Yes
Weaponized: LIKELY
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

Proof-of-concept available on GitHub; exploitation requires user interaction (e.g., clicking a malicious link).

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: >1.0.16

Vendor Advisory: https://github.com/lukasbach/yana/security/advisories

Restart Required: Yes

Instructions:

1. Update yana to version >1.0.16. 2. Restart the application. 3. Verify the fix by checking the version.

🔧 Temporary Workarounds

Input Sanitization

all

Implement strict input validation and output encoding in the application code.

🧯 If You Can't Patch

  • Disable or restrict access to the vulnerable application.
  • Use web application firewalls (WAF) to filter malicious scripts.

🔍 How to Verify

Check if Vulnerable:

Check the yana version in package.json or via the application's about section.

Check Version:

npm list yana

Verify Fix Applied:

Confirm the version is >1.0.16 and test for XSS payloads.

📡 Detection & Monitoring

Log Indicators:

  • Unusual JavaScript execution in logs
  • Suspicious user input patterns

Network Indicators:

  • HTTP requests with script tags or encoded payloads

SIEM Query:

source="application_logs" AND ("<script>" OR "javascript:")

🔗 References

📤 Share & Export