BREW-SQLPARSE-CVE-2026-59894 (CVE-2026-59894)
Vulnerability from osv_homebrew – Published: 2026-08-17 17:55 – Updated: 2026-09-10 01:21 – Source website
VLAI
Summary
sqlparse: Generated Python and PHP snippets allow SQL string breakout through unescaped backslashes
Details
sqlparse is a non-validating SQL parser module for Python. Prior to 0.6.0, sqlparse/filters/output.py fails to escape existing backslashes before quotes in sqlparse.format output_format='python' and output_format='php' and the corresponding sqlformat -l modes, allowing crafted SQL to terminate the generated string and inject Python or PHP code when a downstream consumer executes or imports the generated source. This issue is fixed in version 0.6.0.
Severity
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "0.6.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "sqlparse",
"purl": "pkg:brew/sqlparse"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.6.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "git",
"upstream_evidence": [
{
"ecosystem": "GIT",
"key": "https://github.com/andialbrecht/sqlparse",
"name": "https://github.com/andialbrecht/sqlparse",
"strategy": "git",
"subject_version": "0.6.0"
},
{
"ecosystem": "PyPI",
"key": "pkg:pypi/sqlparse@0.6.0",
"name": "sqlparse",
"strategy": "registry",
"subject_version": "0.6.0"
},
{
"ecosystem": "Debian",
"key": "Debian/sqlparse",
"name": "sqlparse",
"strategy": "distro"
},
{
"ecosystem": "GIT",
"key": "upstream:https://github.com/andialbrecht/sqlparse",
"name": "https://github.com/andialbrecht/sqlparse",
"strategy": "distro",
"subject_version": "0.6.0"
},
{
"ecosystem": "PyPI",
"key": "upstream:pkg:pypi/sqlparse@0.6.0",
"name": "sqlparse",
"strategy": "distro",
"subject_version": "0.6.0"
},
{
"ecosystem": "Ubuntu",
"key": "Ubuntu/sqlparse",
"name": "sqlparse",
"strategy": "distro"
}
]
},
"details": "sqlparse is a non-validating SQL parser module for Python. Prior to 0.6.0, sqlparse/filters/output.py fails to escape existing backslashes before quotes in sqlparse.format output_format=\u0027python\u0027 and output_format=\u0027php\u0027 and the corresponding sqlformat -l modes, allowing crafted SQL to terminate the generated string and inject Python or PHP code when a downstream consumer executes or imports the generated source. This issue is fixed in version 0.6.0.",
"id": "BREW-sqlparse-CVE-2026-59894",
"modified": "2026-09-10T01:21:20Z",
"published": "2026-08-17T17:55:23Z",
"references": [
{
"type": "ADVISORY",
"url": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/59xxx/CVE-2026-59894.json"
},
{
"type": "ADVISORY",
"url": "https://github.com/andialbrecht/sqlparse/security/advisories/GHSA-3496-9g83-7v6x"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-59894"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:N/SC:H/SI:H/SA:L",
"type": "CVSS_V4"
}
],
"summary": "sqlparse: Generated Python and PHP snippets allow SQL string breakout through unescaped backslashes",
"upstream": [
"CVE-2026-59894",
"GHSA-3496-9g83-7v6x",
"PYSEC-2026-3696"
]
}
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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.
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- 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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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