External risk intelligence

Mongoid Unsafe Reflection Vulnerability Allows Data Disclosure and Deletion.

CVE advisorySeverity: CRITICAL (CVSS 9.2)

CVE-2026-93762

Mongoid is an Object-Document Mapper (ODM) library used within application code. While it facilitates database interactions, it is not an internet-facing service itself. The exposure depends entirely on whether the application utilizing the library exposes vulnerable query paths to external user input, making internet reachability possible but dependent on specific application implementation.

Halo Surface Signal: 3 out of 5 — possibly public-facing.

External exposure likelihood

Horizon Alert

Summary of the vulnerability and why it matters

A weakness in the Mongoid query path could allow unauthorized access to sensitive data or permanent removal of stored records if applications pass external field names to specific query methods. This issue affects applications using the Mongoid library, and its impact hinges on how those applications handle user-provided query parameters. The primary concern is confirming if our usage of this technology is exposed.

  • Unsafe queries could expose or delete data.
  • Matters if application uses external query inputs.
  • Confirm relevance and potential exposure.

Attack Path

How an attacker could exploit the issue

An attacker could exploit a weakness in how Mongoid handles queries for embedded documents. If an application uses an externally provided field name in certain in-memory query methods, an unauthenticated attacker could potentially view sensitive document data or delete records.

  • No authentication needed for access.
  • Unsafe reflection in query path.
  • Unintended data disclosure or deletion.

Live Threat

Current exploitation, exposure, and threat context

This vulnerability could allow an unauthenticated party to access unintended stored document data or permanently delete stored records when an application passes externally supplied field names to certain in-memory query methods.

  • Stored document data
  • Unauthenticated query path
  • Data disclosure or deletion

Operational Fix

Recommended remediation, mitigation, and detection steps

The identified weakness in Mongoid impacts applications that process externally supplied field names in their query methods, potentially leading to unintended data disclosure or record deletion. Responsibility for addressing this likely falls to application owners and potentially platform teams, depending on how the library is integrated and managed within the environment. The immediate practical step is to identify all instances of the affected technology, assess their exposure and business criticality, and then determine the appropriate remediation or mitigation strategy.

  • Application owners should manage remediation.
  • Verify vulnerable query paths and reachability.
  • Plan risk-based maintenance or vendor engagement.

Supplementary metadata

Validate whether this threat affects your internet-facing exposure.

Halo Threat Intelligence helps prioritize remediation with Halo Surface Signal and H/A/L/O context. Start exposure validation with a free external attack surface trial.

Frequently asked questions

What is Mongoid and how is it used?

Mongoid is an Object-Document Mapper (ODM) library for the Ruby programming language. Developers use it to interact with MongoDB databases by mapping Ruby objects to document structures. It acts as a bridge, simplifying how application code reads, writes, and manages data stored in the database.

What is the vulnerability in CVE-2026-93762?

This vulnerability is classified as CWE-470, which is an unsafe reflection weakness. In plain terms, the library fails to properly validate the structure of certain query operations. This allows a user to manipulate the query logic to access or delete information they should not be able to see or touch.

How can an attacker trigger this issue?

The flaw is triggered when an application passes unvalidated, externally supplied field names directly into specific Mongoid in-memory query methods. It does not trigger if the application only uses hardcoded field names or strictly validates user input before it reaches the query layer.

Is my application at risk according to Halo Surface Signal?

Halo Surface Signal indicates that because Mongoid is an internal library, it is not inherently internet-facing. Risk depends on whether your specific application code takes input from users and passes it into vulnerable query functions, creating a path for an attacker to reach the database.

What are the first steps to address this CVE?

First, identify all systems in your environment using the affected Mongoid versions. Review your application source code to see if user-supplied strings are used as field names in database queries. If so, prioritize validating or sanitizing those inputs and check for available library updates from the vendor.

References