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CVE-2025-23932: Deserialization of Untrusted Data in Marko-M Quick Count

0
Unknown
VulnerabilityCVE-2025-23932cvecve-2025-23932
Published: Wed Jan 22 2025 (01/22/2025, 14:29:23 UTC)
Source: CVE Database V5
Vendor/Project: Marko-M
Product: Quick Count

Description

Deserialization of Untrusted Data vulnerability in Marko-M Quick Count quick-count allows Object Injection.This issue affects Quick Count: from n/a through <= 3.00.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 04/01/2026, 20:41:14 UTC

Technical Analysis

CVE-2025-23932 is a vulnerability in the Marko-M Quick Count application, specifically involving the deserialization of untrusted data. Deserialization vulnerabilities occur when an application accepts serialized objects from untrusted sources and deserializes them without proper validation or sanitization. This can lead to object injection attacks, where an attacker crafts malicious serialized objects that, when deserialized, execute arbitrary code or alter application behavior. The affected product, Quick Count, is vulnerable in all versions up to 3.00, with no patches currently available. The vulnerability was publicly disclosed in January 2025, with no known exploits in the wild at the time of publication. The lack of a CVSS score indicates that the vulnerability has not yet been fully assessed for impact or exploitability, but the nature of deserialization flaws typically allows attackers to achieve remote code execution or privilege escalation. The vulnerability arises because Quick Count processes serialized data inputs without sufficient validation, enabling attackers to inject malicious objects. This can compromise the confidentiality, integrity, and availability of the system, potentially allowing attackers to manipulate election data or disrupt counting processes. The vulnerability's exploitation complexity depends on the deployment context, including whether authentication is required to send serialized data and the network exposure of the Quick Count service. Given that deserialization vulnerabilities are often remotely exploitable and can lead to critical impacts, this issue represents a significant risk to organizations relying on Quick Count for critical data aggregation tasks.

Potential Impact

If exploited, this vulnerability could allow attackers to execute arbitrary code remotely, manipulate or corrupt election data, and disrupt the availability of the Quick Count service. This could undermine the integrity of election results or other critical data aggregation processes, leading to loss of trust and potential legal or political consequences. Organizations using Quick Count in sensitive environments, such as election commissions or governmental agencies, face risks of data breaches, unauthorized system control, and operational disruption. The impact extends beyond confidentiality to integrity and availability, as attackers could alter or delete data and cause denial of service. The lack of authentication requirements or network exposure could increase the attack surface, making exploitation easier. Even without known exploits, the potential for severe consequences necessitates urgent attention. The reputational damage and operational impact could be significant, especially in countries where election integrity is a critical national security concern.

Mitigation Recommendations

To mitigate this vulnerability, organizations should immediately review and restrict all inputs that involve serialized data processing within Quick Count. Implement strict input validation and sanitization to ensure only trusted and expected data formats are deserialized. Employ allow-listing of classes or types permitted during deserialization to prevent arbitrary object injection. If possible, disable deserialization of untrusted data or replace serialization mechanisms with safer alternatives such as JSON or XML parsing with strict schemas. Network-level controls should limit access to the Quick Count service to trusted users and systems only. Monitor logs and network traffic for unusual serialized data patterns or unexpected deserialization errors. Engage with the vendor, Marko-M, to obtain patches or updates addressing this vulnerability as soon as they become available. Conduct thorough security testing and code reviews focusing on deserialization processes. Additionally, implement application-layer firewalls or runtime application self-protection (RASP) solutions to detect and block exploitation attempts. Prepare incident response plans specifically for potential exploitation scenarios involving this vulnerability.

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Technical Details

Data Version
5.2
Assigner Short Name
Patchstack
Date Reserved
2025-01-16T11:32:32.177Z
Cvss Version
null
State
PUBLISHED

Threat ID: 69cd724ce6bfc5ba1dee8ffd

Added to database: 4/1/2026, 7:30:20 PM

Last enriched: 4/1/2026, 8:41:14 PM

Last updated: 4/6/2026, 1:13:44 PM

Views: 2

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