CVE-2026-23985 Details
A Regular Expression Denial of Service (ReDoS) vulnerability exists in Apache Superset versions 1.5.0 through 5.0.0. The vulnerability is located in the sql_parse.py component, specifically within the SQL_REGEX used for parsing SQL statements in the sqlparse library integration.
The affected regular expression contains overlapping disjunctions that share a common outer quantifier. An authenticated attacker can exploit this by sending a maliciously crafted input string (specifically a long sequence of backslashes or similar characters) to endpoints that process SQL queries

This issue affects Apache Superset: before 6.0.0.

Users are recommended to upgrade to version 6.0.0, which fixes the issue. 

Workarounds:
● WAF Rules: Implement Web Application Firewall (WAF) rules to detect and block
requests containing excessively long sequences of backslashes or suspicious repeated
patterns in the queries.extras.where parameter.
● Rate Limiting: Ensure strict rate limiting is applied to the /api/v1/chart/data endpoint to
reduce the impact of potential attacks.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2026-23985
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.41 Probability of exploitation activity being observed over the next 30 days (35th percentile)
CVSS score for CVE-2026-23985
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
6.5 Medium
Products affected by CVE-2026-23985
Superset 1.5.0
Superset 1.5.1
Superset 2.0.0
Superset 2.0.1
Superset 2.1.0
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
Low
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CVE-2026-23985 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
IE 4 66.67%
IN 1 16.67%
RU 1 16.67%

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CVE-2026-23985 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 6 100.00%

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