CVE-2025-47872 Vulnerability Analysis & Exploit Details

CVE-2025-47872
Vulnerability Scoring

5.8
/10
Significant Risk

Security assessments indicate that CVE-2025-47872 presents a notable risk, potentially requiring prompt mitigation.

Attack Complexity Details

  • Attack Complexity: Low
    Exploits can be performed without significant complexity or special conditions.
  • Attack Vector: Network
    Vulnerability is exploitable over a network without physical access.
  • Privileges Required: None
    No privileges are required for exploitation.
  • Scope: Changed
    Successful exploitation can impact components beyond the vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2025-47872 Details

Status: Awaiting Analysis

Published on: 08 Aug 2025, 17:15 UTC

CVSS Release: version 3

CVSS3 Source

ics-cert@hq.dhs.gov

CVSS3 Type

Secondary

CVSS3 Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N

CVE-2025-47872 Vulnerability Summary

CVE-2025-47872: The public-facing product registration endpoint server responds differently depending on whether the S/N is valid and unregistered, valid but already registered, or does not exist in the database. Combined with the fact that serial numbers are sequentially assigned, this allows an attacker to gain information on the product registration status of different S/Ns.

Assessing the Risk of CVE-2025-47872

Access Complexity Graph

The exploitability of CVE-2025-47872 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2025-47872

With low attack complexity and no required privileges, CVE-2025-47872 is an easy target for cybercriminals. Organizations should prioritize immediate mitigation measures to prevent unauthorized access and data breaches.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2025-47872, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2025-47872, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: Low
    CVE-2025-47872 could lead to minor leaks of non-critical information without major privacy breaches.
  • Integrity: None
    CVE-2025-47872 poses no threat to data integrity.
  • Availability: None
    CVE-2025-47872 does not impact system availability.

CVE-2025-47872 References

External References

CWE Common Weakness Enumeration

CWE-203

CAPEC Common Attack Pattern Enumeration and Classification

  • Black Box Reverse Engineering CAPEC-189 An adversary discovers the structure, function, and composition of a type of computer software through black box analysis techniques. 'Black Box' methods involve interacting with the software indirectly, in the absence of direct access to the executable object. Such analysis typically involves interacting with the software at the boundaries of where the software interfaces with a larger execution environment, such as input-output vectors, libraries, or APIs. Black Box Reverse Engineering also refers to gathering physical side effects of a hardware device, such as electromagnetic radiation or sounds.

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