cve-2024-4181
Vulnerability from cvelistv5
Published
2024-05-16 09:03
Modified
2024-08-01 20:33
Severity ?
EPSS score ?
Summary
Command Injection in run-llama/llama_index
References
Impacted products
▼ | Vendor | Product |
---|---|---|
run-llama | run-llama/llama_index |
{ "containers": { "adp": [ { "affected": [ { "cpes": [ "cpe:2.3:a:run-llama:llama_index:*:*:*:*:*:*:*:*" ], "defaultStatus": "unknown", "product": "llama_index", "vendor": "run-llama", "versions": [ { "status": "affected", "version": "0.9.47" } ] } ], "metrics": [ { "other": { "content": { "id": "CVE-2024-4181", "options": [ { "Exploitation": "none" }, { "Automatable": "no" }, { "Technical Impact": "total" } ], "role": "CISA Coordinator", "timestamp": "2024-05-16T16:10:22.479833Z", "version": "2.0.3" }, "type": "ssvc" } } ], "providerMetadata": { "dateUpdated": "2024-06-04T17:55:23.180Z", "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP" }, "title": "CISA ADP Vulnrichment" }, { "providerMetadata": { "dateUpdated": "2024-08-01T20:33:52.659Z", "orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE" }, "references": [ { "tags": [ "x_transferred" ], "url": "https://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1" }, { "tags": [ "x_transferred" ], "url": "https://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7ba" } ], "title": "CVE Program Container" } ], "cna": { "affected": [ { "product": "run-llama/llama_index", "vendor": "run-llama", "versions": [ { "lessThan": "0.10.13", "status": "affected", "version": "unspecified", "versionType": "custom" } ] } ], "descriptions": [ { "lang": "en", "value": "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." } ], "metrics": [ { "cvssV3_0": { "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 8.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.0" } } ], "problemTypes": [ { "descriptions": [ { "cweId": "CWE-94", "description": "CWE-94 Improper Control of Generation of Code", "lang": "en", "type": "CWE" } ] } ], "providerMetadata": { "dateUpdated": "2024-05-16T09:03:47.278Z", "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai" }, "references": [ { "url": "https://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1" }, { "url": "https://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7ba" } ], "source": { "advisory": "1a204520-598a-434e-b13d-0d34f2a5ddc1", "discovery": "EXTERNAL" }, "title": "Command Injection in run-llama/llama_index" } }, "cveMetadata": { "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "assignerShortName": "@huntr_ai", "cveId": "CVE-2024-4181", "datePublished": "2024-05-16T09:03:47.278Z", "dateReserved": "2024-04-25T13:52:02.986Z", "dateUpdated": "2024-08-01T20:33:52.659Z", "state": "PUBLISHED" }, "dataType": "CVE_RECORD", "dataVersion": "5.1", "meta": { "nvd": "{\"cve\":{\"id\":\"CVE-2024-4181\",\"sourceIdentifier\":\"security@huntr.dev\",\"published\":\"2024-05-16T09:15:15.553\",\"lastModified\":\"2024-05-16T13:03:05.353\",\"vulnStatus\":\"Awaiting Analysis\",\"descriptions\":[{\"lang\":\"en\",\"value\":\"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.\"},{\"lang\":\"es\",\"value\":\"Existe una vulnerabilidad de inyecci\u00f3n de comandos en la clase RunGptLLM de la librer\u00eda llama_index, versi\u00f3n 0.9.47, utilizada por el marco RunGpt de JinaAI para conectarse a los modelos de aprendizaje de idiomas (LLM). La vulnerabilidad surge del uso inadecuado de la funci\u00f3n de evaluaci\u00f3n, lo que permite que un proveedor de alojamiento LLM malicioso o comprometido ejecute comandos arbitrarios en la m\u00e1quina del cliente. Este problema se solucion\u00f3 en la versi\u00f3n 0.10.13. La explotaci\u00f3n de esta vulnerabilidad podr\u00eda llevar a que un proveedor de alojamiento obtenga control total sobre las m\u00e1quinas cliente.\"}],\"metrics\":{\"cvssMetricV30\":[{\"source\":\"security@huntr.dev\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.0\",\"vectorString\":\"CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\",\"baseScore\":8.8,\"baseSeverity\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"security@huntr.dev\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-94\"}]}],\"references\":[{\"url\":\"https://github.com/run-llama/llama_index/commit/d73715eaf0642705583e7897c78b9c8dd2d3a7ba\",\"source\":\"security@huntr.dev\"},{\"url\":\"https://huntr.com/bounties/1a204520-598a-434e-b13d-0d34f2a5ddc1\",\"source\":\"security@huntr.dev\"}]}}" } }
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Sightings
Author | Source | Type | Date |
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Nomenclature
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- Confirmed: The vulnerability is confirmed from an analyst perspective.
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- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.