CVE-2026-77184 (GCVE-0-2026-77184)
Vulnerability from cvelistv5 – Published: 2026-08-28 19:25 – Updated: 2026-08-28 19:25
VLAI
EPSS
VEX
Title
MongoDB Connector for BI Incomplete Escaping of Stored Metadata in Generated SHOW CREATE Output
Summary
In MongoDB Connector for BI, the description text of a collection's JSON schema validator is incorporated into the comment text of the DDL returned by SHOW CREATE statements without complete escaping of backslash characters. A user with permission to modify a collection's schema validator, in deployments configured to build their SQL schema from those validators, can cause additional SQL text to be embedded in that generated output. If an operator or automated tool later replays that generated statement against a SQL server, the additional text is executed with the privileges of that session.
Severity
5.2 (Medium)
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| MongoDB | BI Connector |
Affected:
2.1.0 , < 2.14.31
(semver)
|
guessed |
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"Recovery": "NOT_DEFINED",
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"descriptions": [
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"providerMetadata": {
"dateUpdated": "2026-08-28T19:25:23.494Z",
"orgId": "a39b4221-9bd0-4244-95fc-f3e2e07f1deb",
"shortName": "mongodb"
},
"references": [
{
"url": "https://www.mongodb.com/docs/bi-connector/current/release-notes/"
}
],
"source": {
"discovery": "INTERNAL"
},
"title": "MongoDB Connector for BI Incomplete Escaping of Stored Metadata in Generated SHOW CREATE Output",
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"datePublished": "2026-08-28T19:25:23.494Z",
"dateReserved": "2026-08-20T16:02:44.598Z",
"dateUpdated": "2026-08-28T19:25:23.494Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
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}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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