CVE-2021-4294 Vulnerability Analysis & Exploit Details

CVE-2021-4294
Vulnerability Scoring

2.6
/10
Low Risk

Security experts classify CVE-2021-4294 as a minor vulnerability with limited consequences.

Attack Complexity Details

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

CVE-2021-4294 Details

Status: Modified

Last updated: 🕡 21 Nov 2024, 06:37 UTC
Originally published on: 🕔 28 Dec 2022, 17:15 UTC

Time between publication and last update: 693 days

CVSS Release: version 3

CVSS3 Source

cna@vuldb.com

CVSS3 Type

Secondary

CVSS3 Vector

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

CVE-2021-4294 Vulnerability Summary

CVE-2021-4294: A vulnerability was found in OpenShift OSIN. It has been classified as problematic. This affects the function ClientSecretMatches/CheckClientSecret. The manipulation of the argument secret leads to observable timing discrepancy. The name of the patch is 8612686d6dda34ae9ef6b5a974e4b7accb4fea29. It is recommended to apply a patch to fix this issue. The associated identifier of this vulnerability is VDB-216987.

Assessing the Risk of CVE-2021-4294

Access Complexity Graph

The exploitability of CVE-2021-4294 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-2021-4294

This vulnerability, CVE-2021-4294, requires a high level of attack complexity and low privileges, making it difficult but not impossible to exploit. Organizations should ensure robust security configurations to mitigate risks.

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-2021-4294, 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-2021-4294, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: Low
    CVE-2021-4294 could lead to minor leaks of non-critical information without major privacy breaches.
  • Integrity: None
    CVE-2021-4294 poses no threat to data integrity.
  • Availability: None
    CVE-2021-4294 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: 0.12% (probability of exploit)

EPSS Percentile: 47.72% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 52.28% of others.

CVE-2021-4294 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:a:redhat:openshift_container_platform:4.0:*:*:*:*:*:*:*
    cpe:2.3:a:redhat:openshift_container_platform:4.0:*:*:*:*:*:*:*
  • cpe:2.3:a:redhat:openshift_osin:1.0.0:*:*:*:*:*:*:*
    cpe:2.3:a:redhat:openshift_osin:1.0.0:*:*:*:*:*:*:*
  • cpe:2.3:a:redhat:openshift_osin:1.0.1:*:*:*:*:*:*:*
    cpe:2.3:a:redhat:openshift_osin:1.0.1:*:*:*:*:*:*:*

Protect Your Infrastructure against CVE-2021-4294: Combat Critical CVE Threats

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