Description
A vulnerability exists in the inftrees.c component of the zlib library, which is bundled within the PointCloudLibrary (PCL). This issue may allow context-dependent attackers to cause undefined behavior by exploiting improper pointer arithmetic. Since version 1.14.0, PCL by default uses a zlib installation from the system, unless the user sets WITH_SYSTEM_ZLIB=FALSE. So this potential vulnerability is only relevant if the PCL version is older than 1.14.0 or the user specifically requests to not use the system zlib.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-14916
1. Vulnerability Assessment and Severity Evaluation
The vulnerability identified in EUVD-2025-14916 affects the inftrees.c component of the zlib library, which is bundled within the PointCloudLibrary (PCL). The issue arises from improper pointer arithmetic, leading to undefined behavior. This vulnerability is particularly concerning due to its potential to cause significant disruptions, including crashes, data corruption, or even arbitrary code execution.
Severity Evaluation:
- Base Score: 9.2 (CVSS 4.0)
- Vector String: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:H/VA:H/SC:N/SI:L/SA:H/AU:Y/R:U/V:D/RE:M/U:Amber
The high base score indicates a critical vulnerability. Key factors contributing to this score include:
- Attack Vector (AV:N): Network-based attack, meaning it can be exploited remotely.
- Attack Complexity (AC:L): Low complexity, suggesting that the attack does not require specialized conditions.
- Privileges Required (PR:N): No privileges are required to exploit the vulnerability.
- User Interaction (UI:N): No user interaction is needed.
- Impact Metrics: High impact on integrity (VI:H) and availability (VA:H), with low impact on confidentiality (VC:L).
2. Potential Attack Vectors and Exploitation Methods
Given the nature of the vulnerability, potential attack vectors include:
- Remote Code Execution (RCE): An attacker could craft malicious input to exploit the improper pointer arithmetic, leading to arbitrary code execution.
- Denial of Service (DoS): By sending specially crafted data, an attacker could cause the application to crash or become unresponsive.
- Data Corruption: Exploiting the vulnerability could result in unpredictable behavior, including data corruption, which could compromise the integrity of the application's data.
Exploitation Methods:
- Crafted Input: An attacker could send specially crafted input data to the application, targeting the vulnerable
inftrees.ccomponent. - Memory Manipulation: By manipulating memory through improper pointer arithmetic, an attacker could gain control over the application's execution flow.
3. Affected Systems and Software Versions
The vulnerability affects:
- PCL versions older than 1.14.0: These versions bundle the vulnerable zlib library by default.
- PCL versions 1.14.0 and later: Only if the user specifically sets
WITH_SYSTEM_ZLIB=FALSE, which forces the use of the bundled zlib library instead of the system's zlib.
Affected Software:
- PointCloudLibrary (PCL) versions < 1.14.0
- PCL versions >= 1.14.0 with
WITH_SYSTEM_ZLIB=FALSE
4. Recommended Mitigation Strategies
To mitigate the risk associated with this vulnerability, the following strategies are recommended:
- Update PCL: Ensure that the PointCloudLibrary is updated to version 1.14.0 or later and configure it to use the system's zlib library by default.
- Patch Management: Apply the latest patches and updates provided by the PCL maintainers.
- Input Validation: Implement robust input validation mechanisms to filter out malicious data that could exploit the vulnerability.
- Monitoring and Logging: Enhance monitoring and logging to detect and respond to any suspicious activities or anomalies.
- Network Security: Implement network security measures such as firewalls and intrusion detection systems to prevent unauthorized access.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to the European cybersecurity landscape, particularly for organizations and industries that rely on the PointCloudLibrary for 3D data processing and analysis. The potential for remote exploitation and high impact on integrity and availability make it a critical concern for cybersecurity professionals.
Sectors at Risk:
- Manufacturing: Companies using PCL for 3D modeling and simulation.
- Healthcare: Medical imaging and diagnostics that rely on 3D data processing.
- Research and Development: Academic and industrial research involving 3D data analysis.
6. Technical Details for Security Professionals
Vulnerability Details:
- Component:
inftrees.cin zlib library bundled with PCL. - Issue: Improper pointer arithmetic leading to undefined behavior.
- Exploitation: Context-dependent attackers can exploit the vulnerability by sending crafted input data.
References:
- NVD Entry: CVE-2025-4638
- GitHub Pull Request: PCL Pull Request #6245
- GitHub Commit: PCL Commit 502bd2b013ce635f21632d523aa8cf2e04f7b7ac
- CMakeLists.txt: PCL CMakeLists.txt
Aliases:
- CVE-2025-4638
- GHSA-hg9g-m8wg-jv2x
Assigner:
- GovTech CSG
ENISA IDs:
- Product: [{"id":"034e3f3b-f7b2-3fdb-97f0-97b4b302ff68","product":{"name":"pcl"},"product_version":"0 <<1.15.0"}]
- Vendor: [{"id":"cf6661bd-f68e-3170-9aa2-d5fe71992f44","vendor":{"name":"PointCloudLibrary"}}]
By addressing this vulnerability promptly and effectively, organizations can mitigate the risk of exploitation and ensure the security and integrity of their systems.