CVE-2026-59893: CWE-1333: Inefficient Regular Expression Complexity in andialbrecht sqlparse
CVE-2026-59893 is a high-severity vulnerability in the Python sqlparse module prior to version 0.6.0. The issue involves inefficient regular expression complexity causing quadratic CPU consumption when parsing certain SQL constructs such as unmatched dollar-quoted literals and multiline comments. This can lead to denial of service through excessive CPU usage. The vulnerability is fixed in sqlparse version 0.6.0.
AI Analysis
Technical Summary
The sqlparse Python module versions before 0.6.0 contain an inefficient regular expression handling issue (CWE-1333) in sqlparse/keywords.py and sqlparse/lexer.py. Specifically, the SQL_REGEX and the per-position loop repeatedly scan unmatched dollar-quoted literal and multiline-comment delimiters, causing quadratic CPU consumption during calls to sqlparse.parse(), sqlparse.format(), and sqlparse.split(). This inefficiency can be exploited to cause high CPU usage, leading to denial of service conditions. The vulnerability is resolved in version 0.6.0.
Potential Impact
This vulnerability can cause high CPU consumption when processing specially crafted SQL inputs, potentially leading to denial of service by exhausting system resources. There is no impact on confidentiality or integrity, only availability is affected.
Mitigation Recommendations
Upgrade sqlparse to version 0.6.0 or later, where this inefficient regular expression complexity issue is fixed. No other mitigations are indicated.
CVE-2026-59893: CWE-1333: Inefficient Regular Expression Complexity in andialbrecht sqlparse
Description
CVE-2026-59893 is a high-severity vulnerability in the Python sqlparse module prior to version 0.6.0. The issue involves inefficient regular expression complexity causing quadratic CPU consumption when parsing certain SQL constructs such as unmatched dollar-quoted literals and multiline comments. This can lead to denial of service through excessive CPU usage. The vulnerability is fixed in sqlparse version 0.6.0.
CVSS v3.1
Score 7.5high
Affected software
andialbrecht
sqlparse
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The sqlparse Python module versions before 0.6.0 contain an inefficient regular expression handling issue (CWE-1333) in sqlparse/keywords.py and sqlparse/lexer.py. Specifically, the SQL_REGEX and the per-position loop repeatedly scan unmatched dollar-quoted literal and multiline-comment delimiters, causing quadratic CPU consumption during calls to sqlparse.parse(), sqlparse.format(), and sqlparse.split(). This inefficiency can be exploited to cause high CPU usage, leading to denial of service conditions. The vulnerability is resolved in version 0.6.0.
Potential Impact
This vulnerability can cause high CPU consumption when processing specially crafted SQL inputs, potentially leading to denial of service by exhausting system resources. There is no impact on confidentiality or integrity, only availability is affected.
Mitigation Recommendations
Upgrade sqlparse to version 0.6.0 or later, where this inefficient regular expression complexity issue is fixed. No other mitigations are indicated.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-07-07T16:40:07.983Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6a834becbf8831d5394ecf95
Added to database: 08/17/2026, 17:59:08 UTC
Last enriched: 09/24/2026, 06:49:49 UTC
Last updated: 10/01/2026, 14:51:08 UTC
Views: 61
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