CVE-2025-1882 Vulnerability Analysis & Exploit Details

CVE-2025-1882
Vulnerability Scoring

5.0
/10
Medium Risk

The vulnerability CVE-2025-1882 could compromise system integrity but typically requires user interaction to be exploited.

Attack Complexity Details

  • Attack Complexity: High
    Exploits require significant effort and special conditions.
  • Attack Vector: Adjacent_network
    Attack Vector Under Analysis
  • Privileges Required: None
    No privileges are required for exploitation.
  • Scope: Unchanged
    Exploit remains within the originally vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2025-1882 Details

Status: Received on 03 Mar 2025, 21:15 UTC

Published on: 03 Mar 2025, 21:15 UTC

CVSS Release: version 3

CVSS3 Source

cna@vuldb.com

CVSS3 Type

Primary

CVSS3 Vector

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

CVE-2025-1882 Vulnerability Summary

CVE-2025-1882: A vulnerability was found in i-Drive i11 and i12 up to 20250227. It has been rated as critical. Affected by this issue is some unknown functionality of the component Device Setting Handler. The manipulation leads to improper access control for register interface. The attack needs to be done within the local network. The complexity of an attack is rather high. The exploitation is known to be difficult. It was not possible to identify the current maintainer of the product. It must be assumed that the product is end-of-life.

Assessing the Risk of CVE-2025-1882

Access Complexity Graph

The exploitability of CVE-2025-1882 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-2025-1882

CVE-2025-1882 presents a challenge to exploit due to its high attack complexity, but the absence of privilege requirements still makes it a viable target for skilled attackers. A thorough security review is advised.

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-2025-1882, 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-2025-1882, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: Low
    CVE-2025-1882 could lead to minor leaks of non-critical information without major privacy breaches.
  • Integrity: Low
    Exploiting CVE-2025-1882 may cause minor changes to data without severely impacting its accuracy.
  • Availability: Low
    CVE-2025-1882 may slightly degrade system performance without fully affecting service availability.

Exploit Prediction Scoring System (EPSS)

The EPSS score estimates the probability that this vulnerability will be exploited in the near future.

EPSS Score: 0.042% (probability of exploit)

EPSS Percentile: 5.07% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 94.93% of others.

CVE-2025-1882 References

External References

CWE Common Weakness Enumeration

CWE-1262

CAPEC Common Attack Pattern Enumeration and Classification

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