Skip to main content
VulnerabilityPublished

CVE-2026-1850: MongoDB Server · Unthrottled Resource Allocation

Affects MongoDB ServerSource CVE Database V5

0

Not known to be exploited · CVSS 7.1 High : upgrade to 8.2.4 or 8.0.18 soon.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 4.0 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 20% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 8.2.4, 8.0.18
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 10 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade MongoDB Server to 8.2.4 or 8.0.18.

Affected software

ProductAffectedFixed in
MongoDB IncMongoDB ServerAffected
  • >=8.2 <8.2.4
Fixed in
  • 8.2.4
MongoDB IncMongoDB ServerAffected
  • >=8.0 <8.0.18
Fixed in
  • 8.0.18

AI-suggested

  1. Monitor MongoDB server memory usage closely and set up alerts for abnormal spikes that could indicate exploitation attempts.
  2. Implement query complexity limits or restrict the use of resource-intensive query features to reduce the risk of triggering excessive memory consumption.
  3. Apply resource quotas or cgroups at the operating system level to limit the maximum memory MongoDB can consume, preventing system-wide OOM conditions.
  4. Restrict network access to MongoDB instances using firewalls and VPNs to limit exposure to untrusted networks and reduce the risk of remote exploitation.
  5. Regularly update MongoDB to the latest patched versions once available from the vendor to address this vulnerability.
  6. Employ Web Application Firewalls (WAFs) or database proxies that can detect and block suspicious query patterns indicative of exploitation attempts.
  7. Conduct internal audits of query usage patterns and educate developers and DBAs on writing efficient queries that do not overload the query planner.
  8. Consider deploying MongoDB in high-availability clusters with failover capabilities to minimize downtime in case of crashes.

Description

Complex queries can cause excessive memory usage in MongoDB Query Planner resulting in an Out-Of-Memory Crash.

References

Community reviews

Loading reviews…