OISF Suricata up to 7.0.8 Setting decode_base64 allocation of resources

CVSS Meta Temp Score
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CTI Interest Score
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5.7$0-$5k0.00

Summaryinfo

A vulnerability labeled as problematic has been found in OISF Suricata up to 7.0.8. This impacts an unknown function of the component Setting Handler. Such manipulation of the argument decode_base64 leads to allocation of resources. This vulnerability is uniquely identified as CVE-2025-29917. Local access is required to approach this attack. No exploit exists. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in OISF Suricata up to 7.0.8 and classified as problematic. Affected by this issue is an unknown part of the component Setting Handler. The manipulation of the argument decode_base64 with an unknown input leads to a allocation of resources vulnerability. Using CWE to declare the problem leads to CWE-770. The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. Impacted is availability. CVE summarizes:

Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine. The bytes setting in the decode_base64 keyword is not properly limited. Due to this, signatures using the keyword and setting can cause large memory allocations of up to 4 GiB per thread. This vulnerability is fixed in 7.0.9.

The advisory is shared for download at github.com. This vulnerability is handled as CVE-2025-29917 since 03/12/2025. The exploitation is known to be easy. The attack needs to be approached locally. There are known technical details, but no exploit is available.

The vulnerability scanner Nessus provides a plugin with the ID 233809 (Fedora 41 : suricata (2025-5fa61dc843)), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 7.0.9 eliminates this vulnerability. Applying the patch 32d0bd2bbb4d486623dec85a94952fde2515f2f0 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

The vulnerability is also documented in the databases at Tenable (233809) and CERT Bund (WID-SEC-2025-1850). Once again VulDB remains the best source for vulnerability data.

Affected

  • Xerox FreeFlow Print Server

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.8
VulDB Meta Temp Score: 5.7

VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 6.2
CNA Vector (GitHub_M): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Allocation of resources
CWE: CWE-770 / CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Nessus ID: 233809
Nessus Name: Fedora 41 : suricata (2025-5fa61dc843)

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: Suricata 7.0.9
Patch: 32d0bd2bbb4d486623dec85a94952fde2515f2f0

Timelineinfo

03/12/2025 🔍
04/10/2025 +29 days 🔍
04/11/2025 +0 days 🔍
08/16/2025 +127 days 🔍

Sourcesinfo

Product: github.com

Advisory: 7613
Status: Confirmed

CVE: CVE-2025-29917 (🔍)
GCVE (CVE): GCVE-0-2025-29917
GCVE (VulDB): GCVE-100-304412
CERT Bund: WID-SEC-2025-1850 - Xerox FreeFlow Print Server: Mehrere Schwachstellen ermöglichen nicht spezifizierten Angriff

Entryinfo

Created: 04/11/2025 00:32
Updated: 08/16/2025 02:26
Changes: 04/11/2025 00:32 (67), 04/11/2025 05:25 (2), 08/16/2025 02:26 (7)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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