Maliciously Crafted Model Archive Can Lead To Arbitrary File Write

高 7.1CVE-2021-41127 · GHSA-4365-fhm5-qcrx · PYSEC-2021-381 · 21/10/2021 公開 · 17/06/2026 更新

要点

CVE-2021-41127 は rasa, rasa (rasa) に影響する深刻度「高」 (CVSS 7.1) の脆弱性です。
今後30日間に悪用される確率（EPSS）：0.76%（全脆弱性の 55.4% より高い）。
対処：2.8.10 以降に更新してください。

パッケージ	影響を受けるバージョン	修正済みバージョン
rasa PyPI	`< 2.8.10`	`2.8.10`
rasa rasa	`< 2.8.10`	`2.8.10`

概要

Impact

An Archive Extraction (Zip Slip) vulnerability in the functionality that allows a user to load a trained model archive in Rasa 2.8.9 and older allows an attacker arbitrary write capability within specific directories using a malicious crafted archive file.

Patches

The vulnerability is fixed in Rasa 2.8.10

Workarounds

Mitigating steps for vulnerable end users are to ensure that they do not upload untrusted model files, and restrict CLI or API endpoint access where a malicious actor could target a deployed Rasa instance.

For more information

If you have any questions or comments about this advisory:

Email the Rasa Security Team

NVD の説明

Rasa is an open source machine learning framework to automate text-and voice-based conversations. In affected versions a vulnerability exists in the functionality that loads a trained model `tar.gz` file which allows a malicious actor to craft a `model.tar.gz` file which can overwrite or replace bot files in the bot directory. The vulnerability is fixed in Rasa 2.8.10. For users unable to update ensure that users do not upload untrusted model files, and restrict CLI or API endpoint access where a malicious actor could target a deployed Rasa instance.