PYSEC-2024-324
Vulnerability from pysec - Published: 2024-05-16 09:15 - Updated: 2026-07-13 05:49
VLAI
Details
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.
Severity
8.8 (High)
Impacted products
| Name | purl | llama-index | pkg:pypi/llama-index |
|---|
Aliases
{
"affected": [
{
"ecosystem_specific": {},
"package": {
"ecosystem": "PyPI",
"name": "llama-index",
"purl": "pkg:pypi/llama-index"
},
"ranges": [
{
"events": [
{
"introduced": "0.9.47"
},
{
"fixed": "0.10.13"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.10.0",
"0.10.1",
"0.10.10",
"0.10.11",
"0.10.12",
"0.10.3",
"0.10.4",
"0.10.5",
"0.10.5a1",
"0.10.6",
"0.10.7",
"0.10.8",
"0.10.9",
"0.9.47",
"0.9.48"
]
}
],
"aliases": [
"CVE-2024-4181"
],
"details": "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\u0027s 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.",
"id": "PYSEC-2024-324",
"modified": "2026-07-13T05:49:40.142801Z",
"published": "2024-05-16T09:15:15.553Z",
"references": [
{
"type": "FIX",
"url": "https://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7ba"
},
{
"type": "EVIDENCE",
"url": "https://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1"
}
],
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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