CVE-2026-22814: High Vulnerability in AdonisJS Lucid ORM

The vulnerability identified as CVE-2026-22814 pertains to a mass assignment issue in @adonisjs/lucid, an SQL ORM for AdonisJS built upon Knex. This vulnerability exists in versions prior to 21.8.2 and 22.0.0-next.6. It may allow a remote attacker to influence data passed into Lucid model assignments, enabling them to overwrite the internal ORM state. Such exploitation can lead to logic bypasses and unauthorized modifications of records within a database table or model.

The CVSS score for this vulnerability is 8.2, categorizing it as high severity. This score indicates a significant risk to organizations, particularly those utilizing the affected versions of the AdonisJS Lucid ORM. The vulnerability's exploitation could potentially result in unauthorized data manipulation, which is a critical concern for data integrity.

Organizations should prioritize patching immediately. The affected versions include @adonisjs/lucid up to version 21.8.1 and pre-release versions of 22.x prior to 22.0.0-next.6. A patch has been made available in versions 21.8.2 and 22.0.0-next.6, and users are strongly encouraged to update their installations to mitigate the associated risks.

The potential impact of this vulnerability extends beyond mere data alteration, potentially affecting the application's logic and user permissions, which can have broader implications in a production environment.

In summary, the mass assignment vulnerability in AdonisJS Lucid presents a high risk for organizations utilizing this ORM. Immediate action to patch and secure applications is crucial.

Vulnerability Details

CVE-2026-22814 was published on January 13, 2026, and last modified on April 15, 2026. The vulnerability has been classified under CWE-915, indicating a mass assignment flaw. The CVSS score of 8.2 signifies a high severity level.

Technical Analysis

The root cause of this vulnerability lies in the way AdonisJS Lucid handles model assignments. Specifically, when user input is not properly validated, an attacker can manipulate data sent to the ORM, leading to potential overwrites of the internal state.

The attack vector is network-based, requiring no special privileges or user interaction. This low complexity attack can be executed by any remote attacker, making it critical for organizations to address this vulnerability promptly.

The integrity impact of this vulnerability is high, as unauthorized modifications can compromise data integrity. However, there is no confidentiality or availability impact associated with this vulnerability.

Risk & Impact Analysis

Risk to organizations includes unauthorized record modifications, leading to potential data integrity breaches. The blast radius for this vulnerability can be significant, especially for applications that rely heavily on the integrity of their data.

Given the high CVSS score of 8.2, organizations should address this vulnerability in their priority patch cycle. The presence of this vulnerability could expose sensitive data and compromise the trust of users and stakeholders.

Organizations should remain vigilant and monitor for any signs of exploitation while ensuring that their systems are patched. Regular security assessments, including penetration testing, can help identify similar vulnerabilities.

Exploitation Status

Affected Versions

All versions of @adonisjs/lucid prior to 21.8.2 and 22.0.0-next.6 are affected by this vulnerability. Users should upgrade to the patched versions to ensure protection against potential exploitation.

Mitigation & Remediation

To mitigate this vulnerability, organizations should immediately apply the available patches in versions 21.8.2 and 22.0.0-next.6 of @adonisjs/lucid. In cases where updating is not feasible, consider implementing strict input validation to prevent unauthorized data manipulation.

For comprehensive security, organizations may also consider engaging in penetration testing to validate security measures and uncover additional vulnerabilities.

Detection Guidance

Organizations should monitor logs for unusual model assignment patterns that may indicate attempts to exploit this vulnerability. Behavioral anomalies related to data modifications should also be investigated.

AppSecure Threat Intelligence Insight

The mass assignment vulnerability in AdonisJS Lucid represents a broader trend of increasing vulnerabilities in ORM frameworks, which are critical components in modern web applications. Security teams must prioritize comprehensive input validation and regularly assess their code for potential flaws.

To enhance security posture, organizations should consider implementing a vulnerability management program that emphasizes ongoing assessment and improvement.

Additionally, engaging in regular penetration testing exercises can help uncover latent vulnerabilities before they are exploited.

Security teams should remain vigilant regarding emerging threats and adapt their strategies to address evolving vulnerabilities, such as those seen in ORM frameworks.