EUVD-2026-60311
GHSA-prg7-hcfm-mfcr
Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Primary rating from Vendor (GitHub_M) · only source for this CVE.
CVSS VectorVendor: GitHub_M
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Lifecycle Timeline
4Blast Radius
ecosystem impact- 17,095 pypi packages depend on sqlparse (723 direct, 16,427 indirect)
Ecosystem-wide dependent count for version 0.6.0.
DescriptionCVE.org
sqlparse is a non-validating SQL parser module for Python. Prior to 0.6.0, SQL_REGEX in sqlparse/keywords.py and the per-position loop in sqlparse/lexer.py repeatedly scan unmatched dollar-quoted literal and multiline-comment delimiters, causing quadratic CPU consumption through sqlparse.parse(), sqlparse.format(), and sqlparse.split(). This issue is fixed in version 0.6.0.
Articles & Coverage 1
AnalysisAI
CPU exhaustion via ReDoS in sqlparse affects all Python applications that pass caller-controlled SQL text to sqlparse.parse(), sqlparse.format(), or sqlparse.split() prior to version 0.6.0. The root cause is a backreference regex pattern in the dollar-quoted literal lexer that, combined with the per-position lexer loop, produces O(n²) CPU complexity when processing inputs containing many unique, unclosed dollar-quote openers or multiline comment delimiters — making it trivially exploitable from the network with no authentication. …
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Recommended ActionAI
Within 24 hours: Execute immediate inventory audit using SBOM scanning and package managers to identify all sqlparse installations prior to version 0.6.0, then implement network-level access restrictions to affected applications as an interim containment measure. …
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External POC / Exploit Code
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