PYSEC-2026-1550
Vulnerability from pysec - Published: 2026-07-07 14:34 - Updated: 2026-07-07 17:24
VLAI
Details
An SQL Injection vulnerability exists in the berriai/litellm repository, specifically within the /global/spend/logs endpoint. The vulnerability arises due to improper neutralization of special elements used in an SQL command. The affected code constructs an SQL query by concatenating an unvalidated api_key parameter directly into the query, making it susceptible to SQL Injection if the api_key contains malicious data. This issue affects the latest version of the repository. Successful exploitation of this vulnerability could lead to unauthorized access, data manipulation, exposure of confidential information, and denial of service (DoS).
Severity
6.4 (Medium)
Impacted products
| Name | purl | litellm | pkg:pypi/litellm |
|---|
Aliases
{
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{
"package": {
"ecosystem": "PyPI",
"name": "litellm",
"purl": "pkg:pypi/litellm"
},
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{
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{
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}
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"type": "ECOSYSTEM"
}
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}
],
"aliases": [
"CVE-2024-5225",
"GHSA-h6m6-jj8v-94jj"
],
"details": "An SQL Injection vulnerability exists in the berriai/litellm repository, specifically within the `/global/spend/logs` endpoint. The vulnerability arises due to improper neutralization of special elements used in an SQL command. The affected code constructs an SQL query by concatenating an unvalidated `api_key` parameter directly into the query, making it susceptible to SQL Injection if the `api_key` contains malicious data. This issue affects the latest version of the repository. Successful exploitation of this vulnerability could lead to unauthorized access, data manipulation, exposure of confidential information, and denial of service (DoS).",
"id": "PYSEC-2026-1550",
"modified": "2026-07-07T17:24:31.999969Z",
"published": "2026-07-07T14:34:34.436601Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-5225"
},
{
"type": "WEB",
"url": "https://github.com/BerriAI/litellm/pull/3940"
},
{
"type": "WEB",
"url": "https://github.com/BerriAI/litellm/commit/f75c15d6cd535aa78014378ad532de1df6be2f56"
},
{
"type": "PACKAGE",
"url": "https://github.com/BerriAI/litellm"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/491e4884-0306-4cd4-8fe2-9a19de33bf5c"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/litellm"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-h6m6-jj8v-94jj"
}
],
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "SQL injection in litellm"
}
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
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Browse all ATT&CK techniques and the vulnerabilities related to each.
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