Reachable AssertionWeakness · CWE-617

CVE-2026-8843

MEDIUM · 6.5 CVSS v3.1 Published 2026-05-18
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
71/100
Remediation priority · Elevated
Remotely reachable Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
Creating a "2dsphere_bucket" index on a non-timeseries bucket collection will succeed, but any subsequent attempt to insert a document which triggers updating that index will crash the server. A similar issue occurs when creating "queryable_encrypted_range" indices. This issue affects MongoDB Server v7.0 versions prior to 7.0.32, v8.0 versions prior to 8.0.21 and v8.2 versions prior to 8.2.6

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

A denial of service vulnerability in MongoDB Server allows creation of '2dsphere_bucket' or 'queryable_encrypted_range' indexes on non-timeseries bucket collections. When documents are subsequently inserted that would update these indexes, the server crashes. This occurs due to incorrect index type validation during document insertion.

MitigationUpgrade to MongoDB Server v7.0.32+, v8.0.21+, or v8.2.6+ to patch the vulnerability. Additionally, audit existing deployments for any incorrectly created indexes on non-timeseries collections and recreate them after patching.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check MongoDB Server version
    Run db.version() in the mongo shell or 'mongod --version' from command line
    Affected if Version is earlier than 7.0.32, earlier than 8.0.21, or between 8.0.0 and 8.2.5 (not including 8.2.6+)
  2. Identify 2dsphere_bucket indexes
    Run db.getCollectionNames().forEach(function(c) { db.getCollection(c).getIndexes().forEach(function(i) { if (i.key && i.key.v && i.key._id && i.name.includes('2dsphere_bucket')) print(c + ': ' + i.name); }); });
    Affected if Any collection returns a 2dsphere_bucket index name in the output
  3. Identify queryable_encrypted_range indexes
    Run db.getCollectionNames().forEach(function(c) { db.getCollection(c).getIndexes().forEach(function(i) { if (i.key && i.name && i.name.includes('queryable_encrypted_range')) print(c + ': ' + i.name); }); });
    Affected if Any collection returns a queryable_encrypted_range index name in the output
  4. Verify if affected indexes are on timeseries bucket collections
    For each collection identified in steps 2-3, run db.getCollection('<collectionName>').stats() and check if 'timeseries' field exists in the output or check the original timeseries collection using db.getCollection('<timeseriesName>').stats().bucketCount
    Affected if The index exists on a collection that is NOT a timeseries bucket collection (the collection lacks timeseries properties)

You are affected if your MongoDB version is before the patched versions AND you have 2dsphere_bucket or queryable_encrypted_range indexes created on non-timeseries collections.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Upgrade to MongoDB Server v7.0.32+, v8.0.21+, or v8.2.6+ to patch the vulnerability. Additionally, audit existing deployments for any incorrectly created indexes on non-timeseries collections and recreate them after patching.

Recommended fix High confidence

7.0.32 / 8.0.21 / 8.2.6 (depending on your current branch)

  1. Identify your current MongoDB Server version using db.version() or mongod --version
  2. If running v7.0.x, upgrade to v7.0.32 or later
  3. If running v8.0.x, upgrade to v8.0.21 or later
  4. If running v8.2.x, upgrade to v8.2.6 or later
  5. After upgrading, verify the server starts successfully and test index operations
Caveat Review MongoDB release notes for any breaking changes between your current version and the target fixed version before upgrading

Generated from the published advisory — verify against the referenced sources before acting.

Have this fixed Scoped from the published advisory
  • Consultation2.0 h
  • Implementation4.0 h
  • Testing2.0 h
  • Review / QA1.0 h
9.0 hours of engineering $1,600
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Scan for this in your stack

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2026-8843 in production — separate from our analysis above.

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
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  • Version or environment caveats, and links to real fixes
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