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CVE-2025-15284: Medium Vulnerability in qs_project qs

A medium-severity vulnerability exists in the qs_project's qs library due to improper input validation, potentially allowing HTTP DoS. Organizations should address this issue to maintain system stability.

MEDIUMCVSS 6.3 · Published December 29, 2025

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The vulnerability identified as CVE-2025-15284 affects the qs library version below 6.14.1. This vulnerability allows for improper input validation, specifically regarding the arrayLimit option in the library's parse modules. The flaw arises from the fact that the arrayLimit option does not enforce limits for bracket notation (e.g., a[]=1&a[]=2) while it does for indexed notation (e.g., a[0]=1). Therefore, it represents a consistency bug where arrayLimit should apply uniformly across all array notations.

The severity of this vulnerability is classified as medium, with a CVSS score of 6.3. This indicates that while the risk exists, it is somewhat mitigated by the default parameterLimit of 1000, which effectively caps the number of parameters that can be parsed, thus reducing the potential for a denial-of-service (DoS) scenario.

Organizations should prioritize addressing this issue as it presents a real-world risk for systems using the affected versions of qs. Failure to remediate could lead to potential service disruption.

While no public exploit has been confirmed, it is crucial for organizations to remain vigilant and monitor their systems for any unusual behavior that might indicate attempts to exploit this vulnerability.

Urgency for remediation is moderate, and organizations should schedule updates to ensure they are running patched versions of the library.

Vulnerability Details

The official description states that the improper input validation vulnerability in qs (parse modules) allows HTTP DoS. This issue affects qs versions prior to 6.14.1. The vulnerable code does not check limits for bracket notation effectively, leading to potential DoS scenarios if the parameterLimit is set excessively high.

According to the CVSS vector, the attack vector is classified as NETWORK, with low complexity and no privileges required for exploitation. The vulnerability has low confidentiality impact but a low availability impact.

The CWE classification for this vulnerability is CWE-20, indicating improper input validation. The issue was published on December 29, 2025, and the last modification occurred on February 26, 2026.

Technical Analysis

The root cause of this vulnerability lies in the improper handling of the arrayLimit option in the qs library. The code responsible for handling bracket notation does not validate against the arrayLimit, allowing for excessive input without triggering the intended limits. This discrepancy can lead to scenarios where the system may become unresponsive due to excessive memory consumption.

The attack vector is primarily network-based, allowing attackers to send crafted HTTP requests that may exploit this inconsistency. The attack complexity is classified as low, which means that a potential attacker could exploit the vulnerability with minimal effort.

No user interaction is required for exploitation, making this vulnerability particularly concerning. The confidentiality impact is nonexistent, while the integrity impact is also negligible, with the primary concern being the availability impact, which is classified as low.

Risk & Impact Analysis

Organizations using the affected versions of the qs library face a real risk of denial-of-service attacks through memory exhaustion. Although the practical risk is mitigated by the default parameterLimit of 1000, it still poses a risk if the parameterLimit is set higher by users. This inconsistency in input validation can lead to performance degradation or unavailability of services.

The blast radius for this vulnerability can be significant, particularly for applications that handle large amounts of user input. Organizations must consider the potential for service disruption and the implications it could have on user experience and business operations.

Given the CVSS score of 6.3, organizations should address this vulnerability in their priority patch cycle. The urgency to remediate is moderate, necessitating scheduled updates to the qs library to the latest version.

Exploitation Status

Signal

Status

Known Exploit

No

Public PoC

No

Actively Exploited

No

Ransomware Use

No

Affected Versions

The affected versions of the qs library are all versions prior to 6.14.1.

Mitigation & Remediation

To mitigate this vulnerability, organizations should upgrade to the latest version of the qs library. The latest patched version addresses the improper input validation issue. For systems where immediate patching is not feasible, consider implementing workarounds that limit input sizes and enforce stricter validation rules.

Organizations should also conduct a review of their current configurations to ensure that the parameterLimit is set to a reasonable value, thereby minimizing the risk of DoS attacks.

For continuous monitoring and assessment, security teams can utilize continuous security testing to ensure the integrity of their applications.

Detection Guidance

Organizations should monitor for any unusual patterns in application performance and system logs that may indicate exploitation attempts. Implementation of rate limiting and monitoring of input validation processes can help detect abnormalities.

AppSecure Threat Intelligence Insight

This vulnerability highlights the importance of thorough input validation in software libraries. Security teams should take note of the patterns associated with such vulnerabilities and ensure they have effective processes in place to validate user inputs across all array notations.

For more insights on application security, refer to our comprehensive application security assessment practices. Additionally, staying updated on the latest trends in vulnerability management can be achieved through our blog on vulnerability management program design to strengthen your defenses.

Finally, leveraging effective penetration testing methodologies can provide further insights into your security posture.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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