New MongoDB Flaw Lets Unauthenticated Attackers Read Uninitialized Memory
A high-severity security flaw has been disclosed in MongoDB that could allow unauthenticated users to read uninitialized heap memory. The vulnerability, tracked as CVE-2025-14847 (CVSS score: 8.7), has been described as a case of improper handling of length parameter inconsistency, which arises when a program fails to appropriately tackle scenarios where a length field is inconsistent with the
AI Analysis
Technical Summary
The disclosed vulnerability CVE-2025-14847 in MongoDB arises from improper handling of length parameter inconsistencies within zlib compressed protocol headers. Specifically, when the length field in the protocol header does not match the actual data length, the MongoDB server may return uninitialized heap memory to unauthenticated clients. This uninitialized memory can contain sensitive information such as internal state data, pointers, or other residual data from the server's heap, which could be leveraged by attackers to gain insights into the server's memory layout or facilitate further exploitation. The flaw affects a broad range of MongoDB versions, including all versions from 3.6 up to 8.2.3, making it a widespread concern. MongoDB has addressed this issue in recent patch releases, but until systems are updated, the vulnerability remains exploitable. The attack vector requires no authentication or user interaction, increasing the risk profile. The vulnerability is rooted in the server's zlib compression implementation; thus, disabling zlib compression and switching to alternative compressors like snappy or zstd can serve as a temporary mitigation. Given MongoDB's extensive use in enterprise and cloud environments, this vulnerability could expose sensitive data and internal server information, undermining confidentiality and potentially enabling further attacks.
Potential Impact
For European organizations, this vulnerability poses a significant risk to the confidentiality and integrity of data managed by MongoDB databases. Many enterprises, including financial institutions, healthcare providers, and government agencies across Europe, rely on MongoDB for critical data storage and processing. Unauthorized disclosure of uninitialized heap memory could leak sensitive information such as cryptographic keys, user data, or internal server states, potentially leading to data breaches or facilitating privilege escalation and lateral movement within networks. The unauthenticated nature of the exploit means attackers can probe vulnerable servers remotely without credentials, increasing exposure. Additionally, the flaw could undermine trust in data integrity and availability if attackers leverage leaked information for further exploitation. Given the widespread deployment of affected MongoDB versions, the threat surface is extensive, and organizations failing to patch or mitigate may face regulatory repercussions under GDPR for inadequate data protection.
Mitigation Recommendations
Organizations should prioritize immediate patching of MongoDB servers to the fixed versions: 8.2.3, 8.0.17, 7.0.28, 6.0.27, 5.0.32, or 4.4.30 depending on their current version. If patching cannot be performed immediately, disable zlib compression by configuring the MongoDB server startup parameters to exclude zlib from networkMessageCompressors or net.compression.compressors options, switching to supported alternatives like snappy or zstd. Conduct thorough audits to identify all MongoDB instances, including those in development and cloud environments, to ensure no vulnerable servers remain exposed. Implement network-level controls to restrict access to MongoDB ports from untrusted networks, employing firewall rules and VPNs. Monitor MongoDB server logs for unusual or unauthenticated access attempts that may indicate exploitation attempts. Finally, review and enhance data encryption at rest and in transit, and consider implementing additional application-layer protections to minimize data exposure in case of memory disclosure.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Poland, Belgium, Switzerland
New MongoDB Flaw Lets Unauthenticated Attackers Read Uninitialized Memory
Description
A high-severity security flaw has been disclosed in MongoDB that could allow unauthenticated users to read uninitialized heap memory. The vulnerability, tracked as CVE-2025-14847 (CVSS score: 8.7), has been described as a case of improper handling of length parameter inconsistency, which arises when a program fails to appropriately tackle scenarios where a length field is inconsistent with the
AI-Powered Analysis
Technical Analysis
The disclosed vulnerability CVE-2025-14847 in MongoDB arises from improper handling of length parameter inconsistencies within zlib compressed protocol headers. Specifically, when the length field in the protocol header does not match the actual data length, the MongoDB server may return uninitialized heap memory to unauthenticated clients. This uninitialized memory can contain sensitive information such as internal state data, pointers, or other residual data from the server's heap, which could be leveraged by attackers to gain insights into the server's memory layout or facilitate further exploitation. The flaw affects a broad range of MongoDB versions, including all versions from 3.6 up to 8.2.3, making it a widespread concern. MongoDB has addressed this issue in recent patch releases, but until systems are updated, the vulnerability remains exploitable. The attack vector requires no authentication or user interaction, increasing the risk profile. The vulnerability is rooted in the server's zlib compression implementation; thus, disabling zlib compression and switching to alternative compressors like snappy or zstd can serve as a temporary mitigation. Given MongoDB's extensive use in enterprise and cloud environments, this vulnerability could expose sensitive data and internal server information, undermining confidentiality and potentially enabling further attacks.
Potential Impact
For European organizations, this vulnerability poses a significant risk to the confidentiality and integrity of data managed by MongoDB databases. Many enterprises, including financial institutions, healthcare providers, and government agencies across Europe, rely on MongoDB for critical data storage and processing. Unauthorized disclosure of uninitialized heap memory could leak sensitive information such as cryptographic keys, user data, or internal server states, potentially leading to data breaches or facilitating privilege escalation and lateral movement within networks. The unauthenticated nature of the exploit means attackers can probe vulnerable servers remotely without credentials, increasing exposure. Additionally, the flaw could undermine trust in data integrity and availability if attackers leverage leaked information for further exploitation. Given the widespread deployment of affected MongoDB versions, the threat surface is extensive, and organizations failing to patch or mitigate may face regulatory repercussions under GDPR for inadequate data protection.
Mitigation Recommendations
Organizations should prioritize immediate patching of MongoDB servers to the fixed versions: 8.2.3, 8.0.17, 7.0.28, 6.0.27, 5.0.32, or 4.4.30 depending on their current version. If patching cannot be performed immediately, disable zlib compression by configuring the MongoDB server startup parameters to exclude zlib from networkMessageCompressors or net.compression.compressors options, switching to supported alternatives like snappy or zstd. Conduct thorough audits to identify all MongoDB instances, including those in development and cloud environments, to ensure no vulnerable servers remain exposed. Implement network-level controls to restrict access to MongoDB ports from untrusted networks, employing firewall rules and VPNs. Monitor MongoDB server logs for unusual or unauthenticated access attempts that may indicate exploitation attempts. Finally, review and enhance data encryption at rest and in transit, and consider implementing additional application-layer protections to minimize data exposure in case of memory disclosure.
Technical Details
- Article Source
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Threat ID: 694f983f46aa44436a57c516
Added to database: 12/27/2025, 8:26:39 AM
Last enriched: 12/27/2025, 8:26:50 AM
Last updated: 2/20/2026, 1:34:54 AM
Views: 88
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