CVE-2025-52937

June 23, 2025, 8:16 p.m.

2.0
Low

Description

Vulnerability in PointCloudLibrary PCL (surface/src/3rdparty/opennurbs modules). This vulnerability is associated with program files crc32.C. This 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 (WITH_SYSTEM_ZLIB=FALSE).

Product(s) Impacted

Vendor Product Versions
Pointcloudlibrary
  • Pcl
  • <1.14.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-494
Download of Code Without Integrity Check
The product downloads source code or an executable from a remote location and executes the code without sufficiently verifying the origin and integrity of the code.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a pointcloudlibrary pcl <1.14.0 / / / / / / /

References

https://github.com/PointCloudLibrary/pcl/commit/2f9dc390c6769fbd821fafa0e16f4707ed7c5d79
https://github.com/PointCloudLibrary/pcl/pull/6275

Tags

CWE-494
cve_disclosure@tech.gov.sg
2025-06-23
CVE-2025-52937

CVSS Score

2.0 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: HIGH
  • Attack Requirements: PRESENT
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: NOT_DEFINED

    • CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:N/VC:L/VI:L/VA:L/SC:L/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:N/AU:N/R:A/V:D/RE:M/U:Green

    View Vector String

Timeline

Published: June 23, 2025, 10:15 a.m.
Last Modified: June 23, 2025, 8:16 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

cve_disclosure@tech.gov.sg

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.