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Vulnérabilités de vanna

Vulnérabilité publiée pour vanna au cours des 30 derniers jours : 0. Dans le catalogue KEV : 0.

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Vulnérabilités : 4

  1. CVE-2026-4229

    Moyenne · CVSS 6.9EPSS 0,27%Aucun correctif publié

    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.

    Publication Mise à jour
  2. CVE-2024-5753

    Élevée · CVSS 7.5EPSS 0,6%Aucun correctif publié

    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.

    Publication Mise à jour
  3. CVE-2024-5826

    Critique · CVSS 9.8EPSS 0,88%Aucun correctif publié

    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.

    Publication Mise à jour
  4. CVE-2024-5565

    Élevée · CVSS 8.1EPSS 15,18%Aucun correctif publié

    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.

    Publication Mise à jour

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