Description

Unauthenticated Remote Code Execution (RCE) in QA Analytics <= 5.2.0.0 versions.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "10.0",
  "pubDate": "2026-08-13T14:16:56.890Z",
  "pubdate": "2026-08-13T14:16:56.890Z",
  "executiveSummary": "An unauthenticated Remote Code Execution (RCE) vulnerability has been identified in QA Analytics in versions <= 5.2.0.0. This critical flaw allows remote, unauthenticated threat actors to execute arbitrary code on the underlying host operating system via the vulnerable application. The primary impact of successful exploitation is complete system compromise, potentially leading to unauthorized data access, lateral movement within the network, and full control over the affected infrastructure.\nThe vulnerability poses severe risk implications due to the lack of authentication requirements, meaning that any attacker with network access to the application can initiate exploitation without needing prior credentials or special privileges. This significantly lowers the attack barrier and makes automated exploitation via malicious scanners or botnets highly probable.\nAffected systems include all deployments of QA Analytics running version 5.2.0.0 and prior. Remediation requires immediate attention, typically involving vendor-supplied patches or strict perimeter defense controls to restrict network access if updates are unavailable.",
  "technicalDetails": "The vulnerability resides in QA Analytics versions <= 5.2.0.0, specifically within components that handle untrusted input without proper sanitization or validation before passing it to system execution functions or internal interpreters. This root cause enables an injection vector where crafted payloads bypass application-level logic.\nExploitation is unauthenticated and occurs over the network, requiring no prior user interaction or privilege requirements. An attacker sends a specially crafted HTTP request or network payload containing malicious execution directives directly to the vulnerable component of QA Analytics.\nThe attack flow proceeds as follows: First, the threat actor identifies the target endpoint exposed by the QA Analytics application. Second, the attacker crafts an injection payload designed to execute arbitrary system commands within the context of the application's process. Third, the application processes the unsanitized input, inadvertently passing the malicious payload to the underlying operating system shell or execution sink. Finally, the payload executes with the privileges of the service account running the QA Analytics application.\nPost-exploitation impact includes full system compromise, data exfiltration, installation of persistence mechanisms, and potential pivot points into internal corporate network segments. Because QA Analytics often runs with elevated privileges to perform its analytical functions, the resulting impact on confidentiality, integrity, and availability is critical."
}