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Vulnerabilidades de vanna

Vulnerabilidades publicadas para vanna en los últimos 30 días: 0. Incluidas en el catálogo KEV: 0.

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Vulnerabilidades: 4

  1. CVE-2026-4229

    Media · CVSS 6.9EPSS 0,27%Sin corrección publicada

    vanna-ai vanna bigquery_vector.py remove_training_data sql injection

    A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function remove_training_data of the file src/vanna/legacy/google/bigquery_vector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

    Publicación Actualización
  2. CVE-2024-5753

    Alta · CVSS 7.5EPSS 0,6%Sin corrección publicada

    Local File Read (LFI) by Prompt Injection via Postgres SQL in vanna-ai/vanna

    vanna-ai/vanna version v0.3.4 is vulnerable to SQL injection in some file-critical functions such as `pg_read_file()`. This vulnerability allows unauthenticated remote users to read arbitrary local files on the victim server, including sensitive files like `/etc/passwd`, by exploiting the exposed SQL queries via a Python Flask API.

    Publicación Actualización
  3. CVE-2024-5826

    Crítica · CVSS 9.8EPSS 0,88%Sin corrección publicada

    Remote Code Execution via Prompt Injection in vanna-ai/vanna

    In the latest version of vanna-ai/vanna, the `vanna.ask` function is vulnerable to remote code execution due to prompt injection. The root cause is the lack of a sandbox when executing LLM-generated code, allowing an attacker to manipulate the code executed by the `exec` function in `src/vanna/base/base.py`. This vulnerability can be exploited by an attacker to achieve remote code execution on the app backend server, potentially gaining full control of the server.

    Publicación Actualización
  4. CVE-2024-5565

    Alta · CVSS 8.1EPSS 15,18%Sin corrección publicada

    Prompt Injection in "ask" API with visualization leads to RCE

    The Vanna library uses a prompt function to present the user with visualized results, it is possible to alter the prompt using prompt injection and run arbitrary Python code instead of the intended visualization code. Specifically - allowing external input to the library’s “ask” method with "visualize" set to True (default behavior) leads to remote code execution.

    Publicación Actualización

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