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    <title>Most recent entries from all</title>
    <link>https://cve.radiocsirt.org</link>
    <description>Contains only the most 10 recent entries.</description>
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    <item>
      <title>EUVD-2026-210591</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-210591</link>
      <description>EUVD-2026-210591</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-210591</guid>
    </item>
    <item>
      <title>fkie_cve-2024-49375</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2024-49375</link>
      <description>&lt;p&gt;Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;Open source machine learning framework. A vulnerability has been identified in Rasa that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution. The prerequisites for this are: 1. The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration. 2. For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation. 3. For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API. This issue has been addressed in rasa version 3.6.21 and all users are advised to upgrade. Users unable to upgrade should ensure that they require authentication and that only trusted users are given access.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2024-49375</guid>
    </item>
    <item>
      <title>GHSA-cpv4-ggrr-7j9v — Rasa Allows Remote Code Execution via Remote Model Loading</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-cpv4-ggrr-7j9v</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: rasa-pro, PyPI: rasa&lt;/p&gt;
&lt;p&gt;## Vulnerability
A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution.&lt;/p&gt;
&lt;p&gt;The prerequisites for this are:
- The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration.
- For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation.
- For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API.&lt;/p&gt;
&lt;p&gt;## Fix
We encourage you to upgrade to a version of Rasa that includes a fix. These are:&lt;/p&gt;
&lt;p&gt;- Rasa Pro 3.8.18, 3.9.16, 3.10.12
- Rasa Open Source 3.6.21&lt;/p&gt;
&lt;p&gt;Once you have upgraded your Rasa Pro or Open Source installation, you will need to retrain your model using the fixed version of Rasa Pro or Open Source. If you have a custom component that inherits from one of the components listed below and modified the persist or load method, make sure to update your code. Please contact us in case you encounter any problems.&lt;/p&gt;
&lt;p&gt;Affected components:&lt;/p&gt;
&lt;p&gt;- `CountVectorFeaturizer`
- `LexicalSyntacticFeaturizer`
- `LogisticRegressionClassifier`
- `SklearnIntentClassifier`
- `DIETClassifier`
- `CRFEntityExtractor`
- `TrackerFeaturizer`
- `TEDPolicy`
- `UnexpectedIntentTEDPolicy`&lt;/p&gt;
&lt;p&gt;If you are unable to upgrade immediately, please follow our mitigation advice…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: rasa-pro, PyPI: rasa&lt;/p&gt;
&lt;p&gt;## Vulnerability
A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution.&lt;/p&gt;
&lt;p&gt;The prerequisites for this are:
- The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration.
- For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation.
- For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API.&lt;/p&gt;
&lt;p&gt;## Fix
We encourage you to upgrade to a version of Rasa that includes a fix. These are:&lt;/p&gt;
&lt;p&gt;- Rasa Pro 3.8.18, 3.9.16, 3.10.12
- Rasa Open Source 3.6.21&lt;/p&gt;
&lt;p&gt;Once you have upgraded your Rasa Pro or Open Source installation, you will need to retrain your model using the fixed version of Rasa Pro or Open Source. If you have a custom component that inherits from one of the components listed below and modified the persist or load method, make sure to update your code. Please contact us in case you encounter any problems.&lt;/p&gt;
&lt;p&gt;Affected components:&lt;/p&gt;
&lt;p&gt;- `CountVectorFeaturizer`
- `LexicalSyntacticFeaturizer`
- `LogisticRegressionClassifier`
- `SklearnIntentClassifier`
- `DIETClassifier`
- `CRFEntityExtractor`
- `TrackerFeaturizer`
- `TEDPolicy`
- `UnexpectedIntentTEDPolicy`&lt;/p&gt;
&lt;p&gt;If you are unable to upgrade immediately, please follow our mitigation advice…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-cpv4-ggrr-7j9v</guid>
    </item>
    <item>
      <title>PYSEC-2026-513 — Rasa Allows Remote Code Execution via Remote Model Loading</title>
      <link>https://cve.radiocsirt.org/vuln/pysec-2026-513</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: rasa&lt;/p&gt;
&lt;p&gt;## Vulnerability
A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution.&lt;/p&gt;
&lt;p&gt;The prerequisites for this are:
- The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration.
- For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation.
- For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API.&lt;/p&gt;
&lt;p&gt;## Fix
We encourage you to upgrade to a version of Rasa that includes a fix. These are:&lt;/p&gt;
&lt;p&gt;- Rasa Pro 3.8.18, 3.9.16, 3.10.12
- Rasa Open Source 3.6.21&lt;/p&gt;
&lt;p&gt;Once you have upgraded your Rasa Pro or Open Source installation, you will need to retrain your model using the fixed version of Rasa Pro or Open Source. If you have a custom component that inherits from one of the components listed below and modified the persist or load method, make sure to update your code. Please contact us in case you encounter any problems.&lt;/p&gt;
&lt;p&gt;Affected components:&lt;/p&gt;
&lt;p&gt;- `CountVectorFeaturizer`
- `LexicalSyntacticFeaturizer`
 - `LogisticRegressionClassifier`
- `SklearnIntentClassifier`
- `DIETClassifier`
 - `CRFEntityExtractor`
- `TrackerFeaturizer`
- `TEDPolicy`
- `UnexpectedIntentTEDPolicy`
 
If you are unable to upgrade immediately, please follow our mitigation ad…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: rasa&lt;/p&gt;
&lt;p&gt;## Vulnerability
A vulnerability has been identified in Rasa Pro and Rasa Open Source that enables an attacker who has the ability to load a maliciously crafted model remotely into a Rasa instance to achieve Remote Code Execution.&lt;/p&gt;
&lt;p&gt;The prerequisites for this are:
- The HTTP API must be enabled on the Rasa instance eg with `--enable-api`. This is not the default configuration.
- For unauthenticated RCE to be exploitable, the user must not have configured any authentication or other security controls recommended in our documentation.
- For authenticated RCE, the attacker must posses a valid authentication token or JWT to interact with the Rasa API.&lt;/p&gt;
&lt;p&gt;## Fix
We encourage you to upgrade to a version of Rasa that includes a fix. These are:&lt;/p&gt;
&lt;p&gt;- Rasa Pro 3.8.18, 3.9.16, 3.10.12
- Rasa Open Source 3.6.21&lt;/p&gt;
&lt;p&gt;Once you have upgraded your Rasa Pro or Open Source installation, you will need to retrain your model using the fixed version of Rasa Pro or Open Source. If you have a custom component that inherits from one of the components listed below and modified the persist or load method, make sure to update your code. Please contact us in case you encounter any problems.&lt;/p&gt;
&lt;p&gt;Affected components:&lt;/p&gt;
&lt;p&gt;- `CountVectorFeaturizer`
- `LexicalSyntacticFeaturizer`
 - `LogisticRegressionClassifier`
- `SklearnIntentClassifier`
- `DIETClassifier`
 - `CRFEntityExtractor`
- `TrackerFeaturizer`
- `TEDPolicy`
- `UnexpectedIntentTEDPolicy`
 
If you are unable to upgrade immediately, please follow our mitigation ad…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/pysec-2026-513</guid>
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