Apache CXF up to 3.5.10/3.6.5/4.0.6/4.1.0 resource consumption

CVSS Meta Temp Score
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CTI Interest Score
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4.1$0-$5k0.00

Summaryinfo

A vulnerability marked as problematic has been reported in Apache CXF up to 3.5.10/3.6.5/4.0.6/4.1.0. The impacted element is an unknown function. This manipulation causes resource consumption. This vulnerability is handled as CVE-2025-48795. The attack can be initiated remotely. There is not any exploit available. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in Apache CXF up to 3.5.10/3.6.5/4.0.6/4.1.0. It has been declared as problematic. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a resource consumption vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect availability. The summary by CVE is:

Apache CXF stores large stream based messages as temporary files on the local filesystem. A bug was introduced which means that the entire temporary file is read into memory and then logged. An attacker might be able to exploit this to cause a denial of service attack by causing an out of memory exception. In addition, it is possible to configure CXF to encrypt temporary files to prevent sensitive credentials from being cached unencrypted on the local filesystem, however this bug means that the cached files are written out to logs unencrypted. Users are recommended to upgrade to versions 3.5.11, 3.6.6, 4.0.7 or 4.1.1, which fixes this issue.

The weakness was released by Maugin Thomas. It is possible to read the advisory at lists.apache.org. This vulnerability is known as CVE-2025-48795 since 05/26/2025. The exploitation appears to be easy. The attack can be launched remotely. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.

The vulnerability scanner Nessus provides a plugin with the ID 242260 (Apache CXF 3.5.10 / 3.6.5 / 4.0.6 / 4.1.0 DoS (CVE-2025-48795)), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 3.5.11, 3.6.6, 4.0.7 or 4.1.1 eliminates this vulnerability.

The vulnerability is also documented in the databases at Tenable (242260) and EUVD (EUVD-2025-21438). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.1

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

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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Nessus ID: 242260
Nessus Name: Apache CXF 3.5.10 / 3.6.5 / 4.0.6 / 4.1.0 DoS (CVE-2025-48795)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: CXF 3.5.11/3.6.6/4.0.7/4.1.1

Timelineinfo

05/26/2025 CVE reserved
07/15/2025 +50 days Advisory disclosed
07/15/2025 +0 days VulDB entry created
07/29/2025 +14 days VulDB entry last update

Sourcesinfo

Vendor: apache.org

Advisory: lists.apache.org
Researcher: Maugin Thomas
Status: Confirmed

CVE: CVE-2025-48795 (🔒)
GCVE (CVE): GCVE-0-2025-48795
GCVE (VulDB): GCVE-100-316411
EUVD: 🔒

Entryinfo

Created: 07/15/2025 17:34
Updated: 07/29/2025 19:57
Changes: 07/15/2025 17:34 (56), 07/15/2025 17:47 (1), 07/18/2025 17:32 (2), 07/29/2025 19:57 (1)
Complete: 🔍
Cache ID: 216::103

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

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