h2oai h2o-3 up to up to 3.46.0.1 water.tools XGBoostLibExtractTool resource consumption

CVSS Meta Temp Score
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CTI Interest Score
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6.4$0-$5k0.00

Summaryinfo

A vulnerability has been found in h2oai h2o-3 up to up to 3.46.0.1 and classified as problematic. The impacted element is the function XGBoostLibExtractTool of the component water.tools. Performing a manipulation results in resource consumption. This vulnerability is cataloged as CVE-2024-10572. It is possible to initiate the attack remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in h2oai h2o-3 up to up to 3.46.0.1. It has been classified as problematic. This affects the function XGBoostLibExtractTool of the component water.tools. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:

In h2oai/h2o-3 version 3.46.0.1, the `run_tool` command exposes classes in the `water.tools` package through the `ast` parser. This includes the `XGBoostLibExtractTool` class, which can be exploited to shut down the server and write large files to arbitrary directories, leading to a denial of service.

It is possible to read the advisory at huntr.com. This vulnerability is uniquely identified as CVE-2024-10572 since 10/30/2024. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 6.4
VulDB Meta Temp Score: 6.4

VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 7.5
CNA Vector (@huntr_ai): 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Resource consumption
CWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

10/30/2024 🔍
03/20/2025 +141 days 🔍
03/20/2025 +0 days 🔍
07/14/2025 +116 days 🔍

Sourcesinfo

Advisory: huntr.com
Status: Not defined

CVE: CVE-2024-10572 (🔍)
GCVE (CVE): GCVE-0-2024-10572
GCVE (VulDB): GCVE-100-300219

Entryinfo

Created: 03/20/2025 12:02
Updated: 07/14/2025 15:59
Changes: 03/20/2025 12:02 (63), 07/14/2025 15:59 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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