https://db.gcve.eu Contains only the most 10 recent sightings. http://www.rssboard.org/rss-specification python-feedgen en Sat, 23 May 2026 17:41:04 +0000 https://db.gcve.eu/sighting/b1f6fa2c-24fc-400d-90d7-23fa9c80d8e7/export {"uuid": "b1f6fa2c-24fc-400d-90d7-23fa9c80d8e7", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "GHSA-CPV4-GGRR-7J9V", "type": "published-proof-of-concept", "source": "https://t.me/DarkWebInformer_CVEAlerts/1569", "content": "\ud83d\udd17 DarkWebInformer.com - Cyber Threat Intelligence\n\ud83d\udccc CVE ID: CVE-2024-49375\n\ud83d\udd39 Description: 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.\n\ud83d\udccf Published: 2025-01-14T18:59:53.181Z\n\ud83d\udccf Modified: 2025-01-14T18:59:53.181Z\n\ud83d\udd17 References:\n1. https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v", "creation_timestamp": "2025-01-14T19:09:45.000000Z"} {"uuid": "b1f6fa2c-24fc-400d-90d7-23fa9c80d8e7", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "GHSA-CPV4-GGRR-7J9V", "type": "published-proof-of-concept", "source": "https://t.me/DarkWebInformer_CVEAlerts/1569", "content": "\ud83d\udd17 DarkWebInformer.com - Cyber Threat Intelligence\n\ud83d\udccc CVE ID: CVE-2024-49375\n\ud83d\udd39 Description: 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.\n\ud83d\udccf Published: 2025-01-14T18:59:53.181Z\n\ud83d\udccf Modified: 2025-01-14T18:59:53.181Z\n\ud83d\udd17 References:\n1. https://github.com/RasaHQ/rasa-pro-security-advisories/security/advisories/GHSA-cpv4-ggrr-7j9v", "creation_timestamp": "2025-01-14T19:09:45.000000Z"} https://db.gcve.eu/sighting/b1f6fa2c-24fc-400d-90d7-23fa9c80d8e7/export Tue, 14 Jan 2025 19:09:45 +0000