| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $0-$5k | 0.00 |
Summary
A vulnerability described as critical has been identified in Apache Superset up to 4.0.x. The affected element is the function query_to_xml_and_xmlschema/table_to_xml/table_to_xml_and_xmlschema. Such manipulation leads to sql injection.
This vulnerability is listed as CVE-2024-53947. The attack may be performed from remote. There is no available exploit.
Upgrading the affected component is recommended.
Details
A vulnerability was found in Apache Superset up to 4.0.x and classified as critical. Affected by this issue is the function query_to_xml_and_xmlschema/table_to_xml/table_to_xml_and_xmlschema. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. CVE summarizes:
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Apache Superset. Specifically, certain engine-specific functions are not checked, which allows attackers to bypass Apache Superset's SQL authorization. This issue is a follow-up to CVE-2024-39887 with additional disallowed PostgreSQL functions now included: query_to_xml_and_xmlschema, table_to_xml, table_to_xml_and_xmlschema. This issue affects Apache Superset: <4.1.0. Users are recommended to upgrade to version 4.1.0, which fixes the issue or add these Postgres functions to the config set DISALLOWED_SQL_FUNCTIONS.
The weakness was presented by Mathieu Farrell. The advisory is shared for download at lists.apache.org. This vulnerability is handled as CVE-2024-53947 since 11/25/2024. The exploitation is known to be easy. The attack may be launched remotely. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 07/15/2025). The MITRE ATT&CK project declares the attack technique as T1505.
Upgrading to version 4.1.0 eliminates this vulnerability.
Once again VulDB remains the best source for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Vendor: https://www.apache.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 8.0VulDB Meta Temp Score: 7.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Superset 4.1.0
Timeline
11/25/2024 🔍12/09/2024 🔍
12/09/2024 🔍
07/15/2025 🔍
Sources
Vendor: apache.orgAdvisory: lists.apache.org
Researcher: Mathieu Farrell
Status: Confirmed
CVE: CVE-2024-53947 (🔍)
GCVE (CVE): GCVE-0-2024-53947
GCVE (VulDB): GCVE-100-287348
Entry
Created: 12/09/2024 15:04Updated: 07/15/2025 19:11
Changes: 12/09/2024 15:04 (68), 07/15/2025 19:11 (12)
Complete: 🔍
Cache ID: 216::103
Once again VulDB remains the best source for vulnerability data.

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