CVE-2026-76797 (GCVE-0-2026-76797)
Vulnerability from cvelistv5 – Published: 2026-08-28 19:24 – Updated: 2026-08-28 19:24
VLAI
EPSS
VEX
Title
MongoSQL Transition Readiness Tool Improper Neutralization of Formula Elements in Generated Reports
Summary
The MongoSQL Transition Readiness Tool writes database and collection names into its generated CSV reports without neutralizing leading characters that spreadsheet applications treat as formulas. A user with write privileges on the cluster can choose a namespace name that is later evaluated as a formula when an operator opens the generated report in a spreadsheet application, which may result in unintended disclosure of report contents or execution of external content on the operator's workstation. Generating a report for the affected namespace and opening it in a spreadsheet application is required.
Severity
6.3 (Medium)
CWE
- CWE-1236 - Improper Neutralization of Formula Elements in a CSV File
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| MongoDB | BI Connector Transition Readiness Report |
Affected:
1.0.0 , < 1.1.3
(semver)
|
guessed |
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}
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}
],
"metrics": [
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"Recovery": "NOT_DEFINED",
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"attackRequirements": "PRESENT",
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"baseScore": 5.8,
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"type": "CWE"
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]
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],
"providerMetadata": {
"dateUpdated": "2026-08-28T19:24:07.640Z",
"orgId": "a39b4221-9bd0-4244-95fc-f3e2e07f1deb",
"shortName": "mongodb"
},
"references": [
{
"url": "https://www.mongodb.com/docs/sql-interface/changelog/"
}
],
"source": {
"discovery": "INTERNAL"
},
"title": "MongoSQL Transition Readiness Tool Improper Neutralization of Formula Elements in Generated Reports",
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"cveId": "CVE-2026-76797",
"datePublished": "2026-08-28T19:24:07.640Z",
"dateReserved": "2026-08-19T19:14:12.273Z",
"dateUpdated": "2026-08-28T19:24:07.640Z",
"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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