CVE-2026-114190 in Cache Plugin
Summary
by MITRE • 10/24/2026
Insertion of Sensitive Information Into Sent Data vulnerability in Hai Zheng / Lite Speed Cache LiteSpeed Cache litespeed-cache allows Retrieve Embedded Sensitive Data.This issue affects LiteSpeed Cache: from n/a through 7.9.
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Analysis
by VulDB Data Team • 10/24/2026
The identified vulnerability represents a critical failure in data handling practices within the LiteSpeed Cache plugin, specifically affecting versions ranging from initial releases up to version 7.9. This flaw is categorized under CWE-200, which defines an Information Exposure issue where sensitive information is disclosed to unauthorized actors. In this specific context, the vulnerability manifests as an Insertion of Sensitive Information Into Sent Data scenario, indicating that the application inadvertently includes confidential or private data within HTTP responses sent to clients without proper sanitization or access controls. This type of flaw undermines the fundamental security principle of least privilege and confidentiality, potentially exposing internal system states, user-specific configurations, or other proprietary details that should remain hidden from end-users and external entities.
From a technical perspective, this vulnerability likely stems from improper validation of input data combined with insufficient filtering before outputting information to the browser or API consumers. When LiteSpeed Cache processes requests for cached content or dynamic page generation, it may embed metadata, internal paths, database query structures, or user session identifiers into the response payload. Because these responses are typically sent over standard web protocols accessible by any client making a request, an attacker can exploit this behavior to harvest sensitive data simply by analyzing network traffic or using automated scraping tools. The absence of strict output encoding and context-aware filtering allows raw sensitive strings to pass through the application layer directly into the response body, creating a direct channel for information leakage that does not require complex exploitation techniques beyond basic HTTP request manipulation.
The operational impact of this vulnerability is significant, particularly in environments where LiteSpeed Cache is deployed on high-traffic websites or enterprise applications. The exposure of embedded sensitive data can facilitate further attacks by providing attackers with valuable intelligence about the underlying infrastructure, such as server architecture, database types, or internal API endpoints. This information aids in crafting more targeted exploits for subsequent vulnerabilities like SQL injection or remote code execution. Furthermore, if user-specific private data is inadvertently included in cached responses served to other users due to improper cache key isolation, it could lead to severe privacy violations and compliance failures under regulations such as GDPR or CCPA. The risk extends beyond mere information disclosure; it erodes trust in the application's security posture and can result in reputational damage alongside potential legal liabilities for organizations failing to protect user data adequately.
Mitigation strategies must focus on immediate remediation of the codebase responsible for generating these responses, followed by broader architectural improvements. For users affected by this vulnerability within the specified version range, upgrading to a patched version of LiteSpeed Cache that addresses CWE-200 is the primary corrective action. Developers should implement strict output encoding and context-specific escaping mechanisms to ensure that any data inserted into HTML, JSON, or other response formats is properly sanitized. Additionally, implementing robust access controls and cache isolation policies will prevent sensitive user data from being cached in a way that allows cross-user visibility. Security testing procedures should be enhanced to include dynamic analysis tools capable of detecting information leakage in HTTP responses, ensuring that future updates do not reintroduce similar flaws. Aligning these practices with ATT&CK techniques related to Collection and Exfiltration can help organizations better detect and prevent such data exposure incidents in real-time monitoring scenarios.