PYSEC-2026-1565
Vulnerability from pysec - Published: 2026-07-07 11:45 - Updated: 2026-07-07 17:24
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-llms-rungpt | pkg:pypi/llama-index-llms-rungpt |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "llama-index-llms-rungpt",
"purl": "pkg:pypi/llama-index-llms-rungpt"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.1.3"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.1",
"0.1.0",
"0.1.1",
"0.1.2"
]
}
],
"aliases": [
"CVE-2024-4181",
"GHSA-pw38-xv9x-h8ch"
],
"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-2026-1565",
"modified": "2026-07-07T17:24:33.847674Z",
"published": "2026-07-07T11:45:42.603795Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4181"
},
{
"type": "WEB",
"url": "https://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7ba"
},
{
"type": "PACKAGE",
"url": "https://github.com/run-llama/llama_index"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/llama-index-llms-rungpt"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-pw38-xv9x-h8ch"
}
],
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "RunGptLLM class in LlamaIndex has a command injection"
}
Loading…
Loading…
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.
Loading…
Loading…