CVE-2024-5565
Vanna Library Remote Code Execution Vulnerability
Description
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.
INFO
Published Date :
May 31, 2024, 3:15 p.m.
Last Modified :
Nov. 25, 2024, 1:15 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
2.2
Affected Products
The following products are affected by CVE-2024-5565
vulnerability.
Even if cvefeed.io is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
No affected product recoded yet
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-2024-5565.
| URL | Resource |
|---|---|
| https://research.jfrog.com/vulnerabilities/vanna-prompt-injection-rce-jfsa-2024-001034449/ | |
| https://research.jfrog.com/vulnerabilities/vanna-prompt-injection-rce-jfsa-2024-001034449/ |
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).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-5565 vulnerability anywhere in the article.
-
The Hacker News
Security Flaws in Popular ML Toolkits Enable Server Hijacks, Privilege Escalation
Machine Learning / Vulnerability Cybersecurity researchers have uncovered nearly two dozen security flaws spanning 15 different machine learning (ML) related open-source projects. These comprise vulne ... Read more
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cloudsecurityalliance.org
Never Trust User Inputs—And AI Isn't an Exception: A Security-First Approach
Originally published by Tenable. Written by Rémy Marot. Artificial Intelligence (AI) is transforming industries and beginning to be widely adopted by software developers to build business applications ... Read more
The following table lists the changes that have been made to the
CVE-2024-5565 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 [email protected]
Nov. 25, 2024
Action Type Old Value New Value Added CWE CWE-94 -
CVE Modified by af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://research.jfrog.com/vulnerabilities/vanna-prompt-injection-rce-jfsa-2024-001034449/ -
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Jul. 03, 2024
Action Type Old Value New Value Added CWE CISA-ADP CWE-94 -
CVE Received by [email protected]
May. 31, 2024
Action Type Old Value New Value Added Description 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. Added Reference JFrog https://research.jfrog.com/vulnerabilities/vanna-prompt-injection-rce-jfsa-2024-001034449/ [No types assigned] Added CVSS V3.1 JFrog AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-5565 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-2024-5565
weaknesses.