CVE-2023-50259
Medusa SSRF Vulnerability
Description
Medusa is an automatic video library manager for TV shows. Versions prior to 1.0.19 are vulnerable to unauthenticated blind server-side request forgery (SSRF). The `testslack` request handler in `medusa/server/web/home/handler.py` does not validate the user-controlled `slack_webhook` variable and passes it to the `notifiers.slack_notifier.test_notify` method, then `_notify_slack` and finally `_send_slack` method, which sends a POST request to the user-controlled URL on line 103 in `/medusa/notifiers/slack.py`, which leads to a blind server-side request forgery (SSRF). This issue allows for crafting POST requests on behalf of the Medusa server. Version 1.0.19 contains a fix for the issue.
INFO
Published Date :
Dec. 22, 2023, 5:15 p.m.
Last Modified :
Nov. 21, 2024, 8:36 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
1.4
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2023-50259.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
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The following list is the news that have been mention
CVE-2023-50259 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-50259 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://github.com/pymedusa/Medusa/blob/3d656652ab277e47689483912ed7fc443e7023e8/medusa/notifiers/slack.py#L103 Added Reference https://github.com/pymedusa/Medusa/blob/3d656652ab277e47689483912ed7fc443e7023e8/medusa/server/web/home/handler.py#L168 Added Reference https://github.com/pymedusa/Medusa/releases/tag/v1.0.19 Added Reference https://github.com/pymedusa/Medusa/security/advisories/GHSA-8mcr-vffr-jwxv Added Reference https://securitylab.github.com/advisories/GHSL-2023-201_GHSL-2023-202_Medusa/ -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jan. 03, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N Changed Reference Type https://github.com/pymedusa/Medusa/blob/3d656652ab277e47689483912ed7fc443e7023e8/medusa/notifiers/slack.py#L103 No Types Assigned https://github.com/pymedusa/Medusa/blob/3d656652ab277e47689483912ed7fc443e7023e8/medusa/notifiers/slack.py#L103 Patch Changed Reference Type https://github.com/pymedusa/Medusa/blob/3d656652ab277e47689483912ed7fc443e7023e8/medusa/server/web/home/handler.py#L168 No Types Assigned https://github.com/pymedusa/Medusa/blob/3d656652ab277e47689483912ed7fc443e7023e8/medusa/server/web/home/handler.py#L168 Patch Changed Reference Type https://github.com/pymedusa/Medusa/releases/tag/v1.0.19 No Types Assigned https://github.com/pymedusa/Medusa/releases/tag/v1.0.19 Release Notes Changed Reference Type https://github.com/pymedusa/Medusa/security/advisories/GHSA-8mcr-vffr-jwxv No Types Assigned https://github.com/pymedusa/Medusa/security/advisories/GHSA-8mcr-vffr-jwxv Exploit, Vendor Advisory Changed Reference Type https://securitylab.github.com/advisories/GHSL-2023-201_GHSL-2023-202_Medusa/ No Types Assigned https://securitylab.github.com/advisories/GHSL-2023-201_GHSL-2023-202_Medusa/ Exploit, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:pymedusa:medusa:*:*:*:*:*:*:*:* versions up to (excluding) 1.0.19 -
CVE Received by [email protected]
Dec. 22, 2023
Action Type Old Value New Value Added Description Medusa is an automatic video library manager for TV shows. Versions prior to 1.0.19 are vulnerable to unauthenticated blind server-side request forgery (SSRF). The `testslack` request handler in `medusa/server/web/home/handler.py` does not validate the user-controlled `slack_webhook` variable and passes it to the `notifiers.slack_notifier.test_notify` method, then `_notify_slack` and finally `_send_slack` method, which sends a POST request to the user-controlled URL on line 103 in `/medusa/notifiers/slack.py`, which leads to a blind server-side request forgery (SSRF). This issue allows for crafting POST requests on behalf of the Medusa server. Version 1.0.19 contains a fix for the issue. Added Reference GitHub, Inc. https://github.com/pymedusa/Medusa/security/advisories/GHSA-8mcr-vffr-jwxv [No types assigned] Added Reference GitHub, Inc. https://github.com/pymedusa/Medusa/blob/3d656652ab277e47689483912ed7fc443e7023e8/medusa/notifiers/slack.py#L103 [No types assigned] Added Reference GitHub, Inc. https://github.com/pymedusa/Medusa/blob/3d656652ab277e47689483912ed7fc443e7023e8/medusa/server/web/home/handler.py#L168 [No types assigned] Added Reference GitHub, Inc. https://github.com/pymedusa/Medusa/releases/tag/v1.0.19 [No types assigned] Added Reference GitHub, Inc. https://securitylab.github.com/advisories/GHSL-2023-201_GHSL-2023-202_Medusa/ [No types assigned] Added CWE GitHub, Inc. CWE-918 Added CVSS V3.1 GitHub, Inc. AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-50259 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2023-50259
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.31 }} 0.08%
score
0.53539
percentile