run-llama llama_index up to 0.10.12 RunGptLLM code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.6 | $0-$5k | 0.00 |
Summary
A vulnerability was found in run-llama llama_index up to 0.10.12. It has been declared as critical. Affected by this issue is the function RunGptLLM. The manipulation results in code injection.
This vulnerability is identified as CVE-2024-4181. The attack can be executed remotely. There is not any exploit available.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in run-llama llama_index up to 0.10.12. It has been classified as critical. Affected is the function RunGptLLM. The manipulation with an unknown input leads to a code injection vulnerability. CWE is classifying the issue as CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. This is going to have an impact on confidentiality, integrity, and availability. CVE summarizes:
A command injection vulnerability exists in the RunGptLLM class of the llama_index library, version 0.9.47, used by the RunGpt framework from JinaAI to connect to Language Learning Models (LLMs). The vulnerability arises from the improper use of the eval function, allowing a malicious or compromised LLM hosting provider to execute arbitrary commands on the client's machine. This issue was fixed in version 0.10.13. The exploitation of this vulnerability could lead to a hosting provider gaining full control over client machines.
The advisory is available at huntr.com. This vulnerability is traded as CVE-2024-4181 since 04/25/2024. The exploitability is told to be easy. It is possible to launch the attack remotely. The exploitation doesn't require any form of authentication. Successful exploitation requires user interaction by the victim. Technical details are known, but there is no available exploit. This vulnerability is assigned to T1059 by the MITRE ATT&CK project.
Upgrading to version 0.10.13 eliminates this vulnerability. Applying the patch d73715eaf0642705583e7897c78b9c8dd2d3a7ba is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
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Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.8VulDB Meta Temp Score: 8.6
VulDB Base Score: 8.8
VulDB Temp Score: 8.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 8.8
CNA Vector (huntr.dev): 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: llama_index 0.10.13
Patch: d73715eaf0642705583e7897c78b9c8dd2d3a7ba
Timeline
04/25/2024 🔍05/16/2024 🔍
05/16/2024 🔍
10/21/2025 🔍
Sources
Product: github.comAdvisory: huntr.com
Status: Confirmed
CVE: CVE-2024-4181 (🔍)
GCVE (CVE): GCVE-0-2024-4181
GCVE (VulDB): GCVE-100-264606
Entry
Created: 05/16/2024 12:06Updated: 10/21/2025 14:07
Changes: 05/16/2024 12:06 (66), 03/29/2025 19:45 (4), 10/21/2025 14:07 (1)
Complete: 🔍
Cache ID: 216::103
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