CVE-2023-25529 Vulnerability Analysis & Exploit Details

CVE-2023-25529
Vulnerability Scoring

8.0
/10
Very High Risk

Highly exploitable, CVE-2023-25529 poses a critical security risk that could lead to severe breaches.

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: Changed
    Successful exploitation can impact components beyond the vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2023-25529 Details

Status: Modified

Last updated: 🕢 21 Nov 2024, 07:49 UTC
Originally published on: 🕐 20 Sep 2023, 01:15 UTC

Time between publication and last update: 428 days

CVSS Release: version 3

CVSS3 Source

psirt@nvidia.com

CVSS3 Type

Secondary

CVSS3 Vector

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

CVE-2023-25529 Vulnerability Summary

CVE-2023-25529: NVIDIA DGX H100 BMC and DGX A100 BMC contains a vulnerability in the host KVM daemon, where an unauthenticated attacker may cause a leak of another user’s session token by observing timing discrepancies between server responses. A successful exploit of this vulnerability may lead to information disclosure, escalation of privileges, and data tampering.

Assessing the Risk of CVE-2023-25529

Access Complexity Graph

The exploitability of CVE-2023-25529 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-2023-25529

CVE-2023-25529 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-2023-25529, 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-2023-25529, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: High
    Exploiting CVE-2023-25529 can result in unauthorized access to sensitive data, severely compromising data privacy.
  • Integrity: High
    CVE-2023-25529 could allow unauthorized modifications to data, potentially affecting system reliability and trust.
  • Availability: None
    CVE-2023-25529 does not impact system availability.

Exploit Prediction Scoring System (EPSS)

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

EPSS Score: 0.294% (probability of exploit)

EPSS Percentile: 69.46% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 30.540000000000006% of others.

CVE-2023-25529 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.

Vulnerable Configurations

  • cpe:2.3:h:nvidia:dgx_h100:-:*:*:*:*:*:*:*
    cpe:2.3:h:nvidia:dgx_h100:-:*:*:*:*:*:*:*

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