MongoDB 'MongoBleed' Flaw Allows Unauthenticated Data Leaks, Actively Exploited

MongoDB Discloses "MongoBleed" (CVE-2025-14847), a High-Severity Unauthenticated Memory Leak Vulnerability

HIGH
December 20, 2025
5m read
VulnerabilityData BreachCloud Security

Related Entities

Organizations

Products & Tech

zlib

Other

MongoBleedRapid7

CVE Identifiers

CVE-2025-14847
HIGH
CVSS:8.7

Full Report

Executive Summary

On December 19, 2025, MongoDB disclosed CVE-2025-14847, a high-severity (CVSS 8.7) information disclosure vulnerability nicknamed "MongoBleed." This flaw affects MongoDB database servers that use zlib for network message compression. A remote, unauthenticated attacker can exploit this vulnerability by sending a specially crafted message to the server. This triggers a memory leak, causing the server to return uninitialized heap memory, which may contain sensitive data from other concurrent sessions. This leaked data can include plaintext passwords, API keys, session tokens, and other critical secrets. The vulnerability is being actively exploited in the wild, and a proof-of-concept (PoC) is publicly available, dramatically increasing the risk. MongoDB has released patched versions and advises customers to upgrade immediately or implement workarounds. Due to the nature of the data leak, rotating all credentials after patching is a critical remediation step.


Vulnerability Details

CVE-2025-14847, or "MongoBleed," is an unauthenticated memory leak vulnerability rooted in the way MongoDB's server handles zlib-compressed client messages.

  • Vulnerability Type: Uninitialized Data Exposure
  • Attack Vector: Network
  • Attack Complexity: Low
  • Privileges Required: None
  • User Interaction: None

The exploit works when an attacker sends a message to the server that is flagged for zlib decompression. The message is malformed in a way that it declares a very large uncompressed size, but the actual compressed payload is small. The server allocates a large buffer in memory based on the declared size but only fills a small portion of it with the decompressed data. When sending the response, the server incorrectly sends back the entire buffer, including the large, uninitialized portion. This uninitialized memory can contain fragments of data from other processes and sessions being handled by the server, effectively 'bleeding' sensitive information.

Affected Systems

The vulnerability affects a wide range of MongoDB server versions where zlib is enabled for network compression:

  • MongoDB 8.0: Versions 8.0.0 - 8.0.4
  • MongoDB 7.0: Versions 7.0.0 - 7.0.10
  • MongoDB 6.0: Versions 6.0.0 - 6.0.12
  • MongoDB 5.0: Versions 5.0.0 - 5.0.23
  • MongoDB 4.4: Versions 4.4.0 - 4.4.28
  • Older, end-of-life versions are also affected and will not receive patches.

Exploitation Status

Active exploitation has been confirmed. A public proof-of-concept (PoC) was released shortly after the disclosure, making it trivial for attackers to scan for and exploit vulnerable servers. Any publicly accessible MongoDB instance running an affected version with zlib compression enabled should be considered at extremely high risk of compromise.

Impact Assessment

The impact of MongoBleed is severe, despite being an information disclosure flaw rather than RCE:

  • Credential Compromise: The primary risk is the leakage of plaintext credentials, API keys, and session tokens that are in the server's memory. This allows attackers to bypass authentication and gain legitimate, privileged access to databases and connected applications.
  • PII Exposure: If the server is processing personally identifiable information (PII), fragments of this data could be leaked, leading to a data breach.
  • Stepping Stone for Further Attacks: Armed with stolen credentials, an attacker can log into the database, exfiltrate entire collections, or pivot to attack other applications that trust the database server.
  • System Reconnaissance: The memory leak could expose details about the server's configuration and internal architecture, aiding attackers in planning more sophisticated attacks.

Cyber Observables for Detection

Detecting exploitation requires monitoring for specific network patterns.

Type Value Description
network_traffic_pattern Malformed OP_COMPRESSED messages with zlib compressor ID and an unusually large uncompressed_size field. This requires deep packet inspection of MongoDB wire protocol traffic.
log_source MongoDB Server Logs Monitor for an increase in connection errors or unexpected session terminations, which could be a byproduct of exploit attempts.
network_traffic_pattern Inbound connections to MongoDB port (default TCP/27017) from unknown or untrusted IP addresses. Exploitation is often preceded by internet-wide scanning.

Detection & Response

D3FEND Reference: D3-NTA: Network Traffic Analysis

  1. Network Intrusion Detection System (NIDS): Deploy NIDS signatures that are designed to detect the specific malformed MongoDB message structure used in the MongoBleed exploit. This is the most effective way to detect active attempts.
  2. Firewall Log Analysis: Review firewall logs for connection attempts to your MongoDB instances from unexpected IP addresses. While not definitive proof of exploitation, it can indicate that your server is being targeted.
  3. Assume Compromise: Given the unauthenticated nature of the exploit and the confirmation of active scanning, if you find a vulnerable, exposed server, you must assume that credentials have been compromised.

Mitigation

D3FEND Reference: D3-SU: Software Update, D3-CR: Credential Rotation

  1. Upgrade Immediately (Priority 1): The primary mitigation is to upgrade to a patched MongoDB version:
    • 8.0.5 or newer
    • 7.0.11 or newer
    • 6.0.13 or newer
    • 5.0.24 or newer
    • 4.4.29 or newer
  2. Workaround: Disable Zlib (If Upgrade is Impossible): If you cannot upgrade immediately, you can mitigate the vulnerability by disabling zlib network compression. This can be done by modifying the net.compression.compressors setting in your MongoDB configuration file to remove zlib and use other options like snappy or zstd.
    net:
      compression:
        compressors: snappy,zstd
    
  3. Rotate All Credentials (CRITICAL): After upgrading or applying the workaround, you must rotate all credentials that could have been exposed. This includes database user passwords, application API keys, and any secrets stored in or accessed by applications connecting to the database. Failure to do this step leaves you vulnerable to an attacker who may have already stolen credentials.
  4. Restrict Network Access: As a security best practice, MongoDB instances should not be exposed directly to the internet. Restrict access to a trusted set of application servers and administrative hosts using firewall rules.

Timeline of Events

1
December 19, 2025
MongoDB discloses CVE-2025-14847 and releases patches.
2
December 20, 2025
This article was published

MITRE ATT&CK Mitigations

Upgrading to a patched version of MongoDB is the primary and most effective mitigation.

Mapped D3FEND Techniques:

Disabling zlib compression serves as a critical workaround if an immediate upgrade is not possible.

Mapped D3FEND Techniques:

Rotating all potentially exposed credentials after remediation is a mandatory step to evict any attackers who may have stolen them.

Mapped D3FEND Techniques:

D3FEND Defensive Countermeasures

The most critical action after patching or mitigating the MongoBleed vulnerability is to assume that all secrets in the server's memory were compromised. A full credential rotation is not optional; it is mandatory. This process must be comprehensive and include: 1) Changing all database user passwords. 2) Revoking and re-issuing all API keys and access tokens used by applications connecting to the database. 3) Rotating any cloud provider keys (e.g., AWS, Azure, GCP) if they were accessible to the database server. 4) Changing any other secrets or connection strings stored in the database or in the configuration of connected applications. Failure to perform this step means that even a fully patched server remains vulnerable to an attacker who has already harvested credentials via the MongoBleed exploit.

The definitive fix for CVE-2025-14847 is to upgrade all MongoDB instances to a patched version provided by the vendor. Given the active exploitation and public PoC, this should be treated as an emergency change. If an immediate upgrade is not possible, the workaround of disabling zlib compression by modifying the net.compression.compressors setting in the mongod.conf file should be implemented. This configuration change is non-destructive and can be applied quickly, but it may have performance implications. The long-term solution is to get onto a patched software version as soon as operationally feasible.

This incident underscores the importance of not exposing database servers directly to the internet. As a fundamental security practice, MongoDB servers should be firewalled off from public access. Inbound traffic on the default port (TCP/27017) should only be permitted from specific, known IP addresses of application servers or management hosts. All other traffic should be denied. This principle of network least privilege would have prevented unauthenticated internet-based attackers from reaching the vulnerable service in the first place. Organizations should use this event as an impetus to audit their cloud and on-premise firewall rules to ensure no database servers are inadvertently exposed.

Article Author

Jason Gomes

Jason Gomes

• Cybersecurity Practitioner

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.

Threat Intelligence & AnalysisSecurity Orchestration (SOAR/XSOAR)Incident Response & Digital ForensicsSecurity Operations Center (SOC)SIEM & Security AnalyticsCyber Fusion & Threat SharingSecurity Automation & IntegrationManaged Detection & Response (MDR)

Tags

Database SecurityMemory LeakUnauthenticatedActive ExploitationPoCzlib

📢 Share This Article

Help others stay informed about cybersecurity threats

Continue Reading