TL;DR
Security researchers disclosed 14 vulnerabilities across three major MongoDB integration libraries. These MongoDB driver vulnerabilities threaten data integrity and system availability. Users must apply patches to prevent data deletion, heap overflows, and cleartext data exposure.
- Total: 14 CVEs
- Severity: 3 Critical · 6 High · 5 Medium
- Actively exploited: None confirmed
- Highest severity: 9.8 (Critical · CVSSv3) — CVE-2026-93762
- Action: Apply the latest security updates now
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| CVE | CVSS (CVSSv3) | Type | Status |
|---|---|---|---|
| CVE-2026-93762 | 9.8 | Data deletion and attribute disclosure via field-name method injection in in-memory queries | Not exploited |
| CVE-2026-93765 | 9.1 | Document deletion and process crash via unvalidated method-name dispatch in atomic pop operation | Not exploited |
| CVE-2026-93759 | 8.6 | Server-side JavaScript injection via string query criteria bypassing the strict operator allowlist | Not exploited |
| CVE-2026-93760 | 8.2 | NoSQL injection of JavaScript-executing query operators via unsafe-by-default operator guard | Not exploited |
| CVE-2026-93393 | 8.1 | Heap overflow via oversized decrypted TLS record sequence in Windows Secure Channel stream | Not exploited |
| CVE-2026-93758 | 8.1 | Cross-principal document update, theft, and deletion via unvalidated id in nested attributes | Not exploited |
| CVE-2026-93761 | 7.5 | Denial of service via unbounded regex matching in 's in-memory query matcher | Not exploited |
| CVE-2026-93763 | 6.5 | Silent plaintext persistence via unresolved callable database name in encryption schema map | Not exploited |
Why It Matters
These flaws affect applications using Mongoid, the C Driver, and the Entity Framework Core Provider. Therefore, they allow unauthorized parties to read sensitive databases. Attackers can also crash embedded applications and halt business operations. Furthermore, some bugs force encrypted fields to save in plain text. A successful attack could lead to total database compromise. Currently, no exploitation in the wild has been confirmed. Also, no public proof-of-concept code is available. While exact install counts are absent from the report, these packages run in millions of active deployments globally. Consequently, developers must treat these disclosures with high priority. Delaying updates leaves enterprise networks exposed to severe risks.
How The Attack Works
Mongoid Code Injection And Data Deletion
Mongoid fails to neutralize string-typed query criteria properly. The database processes these strings as server-side JavaScript expressions. Consequently, an attacker can influence query arguments to run arbitrary code. This action bypasses strict operator allowlists. Other Mongoid bugs involve unsafe reflection weaknesses. They allow method injection into in-memory queries. As a result, an unauthenticated user can delete stored records permanently. Furthermore, a protection failure writes encrypted fields in cleartext without warning.
Another issue involves an inefficient regular expression matcher. Supplying complex text causes excessive processing and creates a denial of service. Additionally, insecure direct object references allow cross-principal document updates. Users can link other records to their own accounts. This vulnerability is tracked under CVE-2026-93759.
Another serious flaw is CVE-2026-93762. It enables data deletion via field-name method injection. The vendor assigned CVE-2026-93760 to an issue with unsafe-by-default operator guards. This bug allows NoSQL injection of JavaScript-executing query operators. A party with no credentials can dictate how the database evaluates queries. This action results in unintended disclosure of stored field values.
C Driver Memory Corruption
The C Driver suffers from a heap buffer overflow within the Windows TLS backend. Specifically, the driver writes attacker-supplied data outside heap boundaries during encrypted traffic processing. This memory corruption requires no authentication. Another flaw involves a missing lower-bound validation in the BSON buffer function. An integer underflow occurs when processing data with a zero-length prefix. This triggers a heap out-of-bounds read and crashes the process. Furthermore, a SCRAM authentication flaw allows offline password cracking. An attacker injects a crafted server message to capture the client proof. Fortunately, standard TLS deployments mitigate this specific authentication bypass. The severity of CVE-2026-93393 reaches a 9.2 score. This rating highlights the extreme danger of memory corruption vulnerabilities. Endpoints connecting to malicious servers face immediate exploitation.
Entity Framework Encryption Failures
The Entity Framework Core Provider contains critical configuration flaws. Specifically, placing a database name in the connection string disables field-level encryption. The provider silently drops TLS and schema-map settings. Therefore, the system writes protected fields in plain text. In addition, logging mode errors create significant privacy risks. Setting the logging mode to DEBUG exposes sensitive information. The application logs may collect passwords and AWS secure access keys. The vendor tracks the encryption combination flaw under CVE-2026-92756. Combining independent encryption settings causes silent failures. Organizations must review their connection configurations thoroughly.
Affected Versions
Mongoid versions 7.2.0 through 9.1.0 contain various vulnerabilities. Users running versions 8.0.0, 8.1.0, and 9.0.0 face the most critical risks. Similarly, C Driver versions 1.24.0 through 2.4.0 are vulnerable to heap overflows and authentication flaws. The Entity Framework Core Provider versions 8.0.0 through 10.0.0 also require updates. Many intermediate releases within these branches remain exposed. Administrators should audit their dependency trees immediately. Identifying outdated packages is the first step toward remediation.
Patch Or Mitigation Steps
Administrators must update their libraries to the latest secure releases. First, check the official vendor notifications for exact patch versions. Developers using Mongoid must upgrade past version 9.1.0. Next, review the MongoDB Security Alerts page for ongoing updates. Teams should also verify their database encryption configurations. Removing database names from connection strings prevents unwanted plaintext storage. Security teams must prioritize C Driver updates on Windows platforms. The TLS heap overflow presents a remote code execution risk. Finally, patching these MongoDB driver vulnerabilities is essential to secure sensitive data. Do not leave debug logging enabled in production environments.
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