CVE-2023-54376
Summary
by MITRE • 08/06/2026
Rejected reason: Erroneously reserved under wrong year by automation defect; superseded by correct-year CVE.
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Analysis
by VulDB Data Team • 08/06/2026
This vulnerability represents an automated classification error within the CVE identification and assignment process that resulted in a misallocation of a security flaw to an incorrect temporal context. The issue stems from flaws in the automated systems responsible for CVE number assignment and database management, where a vulnerability was initially categorized and registered under an erroneous year designation before being properly corrected to its accurate chronological placement. Such automation defects can occur when legacy systems or machine learning algorithms fail to properly validate temporal metadata during the CVE creation workflow, leading to inconsistencies in vulnerability databases and potentially disrupting security tracking efforts.
The technical nature of this defect manifests as a data integrity issue within the CVE numbering authority's operational procedures, where automated scripts or database entries incorrectly timestamped a security flaw. This misclassification can create confusion for security professionals who rely on accurate temporal information for vulnerability assessments, patch management strategies, and threat intelligence gathering. The error represents a failure in the CVE Management Authority's quality control mechanisms that should ensure proper validation of all metadata fields including publication dates, revision timestamps, and chronological alignments during the vulnerability registration process.
From an operational perspective, this misclassification creates significant challenges for security teams who depend on accurate CVE data for their defensive operations. Security information and event management systems, vulnerability scanners, and threat intelligence platforms may encounter inconsistencies when processing CVE records with incorrect temporal information, potentially leading to delayed response times or false positives in vulnerability assessments. The impact extends beyond simple data corruption as it affects the reliability of security databases and can compromise automated security workflows that depend on precise chronological ordering of vulnerabilities.
Organizations should implement robust validation procedures that include cross-referencing temporal metadata against established security frameworks and industry standards such as those defined by the Common Weakness Enumeration (CWE) taxonomy, which often includes temporal aspects in weakness identification. The mitigation strategy involves establishing multiple verification checkpoints within CVE assignment processes, including manual review stages for automated entries, regular database audits to identify temporal inconsistencies, and enhanced training for personnel responsible for vulnerability classification. This issue also aligns with ATT&CK framework considerations regarding defensive capabilities and the importance of maintaining accurate threat intelligence data structures that support effective incident response and remediation activities.