CVE-2026-1850: MongoDB Server · Unthrottled Resource Allocation
Affects MongoDB ServerSource CVE Database V5
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
- 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:NExploitation evidence
Disclosed: evidence found.
CVE published 10 Feb 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by 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
| Product | Affected | Fixed in |
|---|---|---|
| MongoDB IncMongoDB Server | Affected
| Fixed in
|
| MongoDB IncMongoDB Server | Affected
| Fixed in
|
AI-suggested
- Monitor MongoDB server memory usage closely and set up alerts for abnormal spikes that could indicate exploitation attempts.
- Implement query complexity limits or restrict the use of resource-intensive query features to reduce the risk of triggering excessive memory consumption.
- Apply resource quotas or cgroups at the operating system level to limit the maximum memory MongoDB can consume, preventing system-wide OOM conditions.
- Restrict network access to MongoDB instances using firewalls and VPNs to limit exposure to untrusted networks and reduce the risk of remote exploitation.
- Regularly update MongoDB to the latest patched versions once available from the vendor to address this vulnerability.
- Employ Web Application Firewalls (WAFs) or database proxies that can detect and block suspicious query patterns indicative of exploitation attempts.
- Conduct internal audits of query usage patterns and educate developers and DBAs on writing efficient queries that do not overload the query planner.
- 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.