FKIE_CVE-2026-81526
Vulnerability from fkie_nvd - Published: 2026-08-27 20:18 - Updated: 2026-09-29 19:16
Severity
Summary
The MongoDB Rust Driver does not neutralize special characters in a caller-supplied target identifier before embedding it in the request it sends to the server. An actor able to influence that identifier in an application using the driver may cause write operations to be applied to an unintended target within the same deployment using the application's own credentials. This may result in unauthorized modification of data belonging to another logical boundary enforced by the application.
References
| URL | Tags | ||
|---|---|---|---|
| cna@mongodb.com | https://github.com/mongodb/mongo-rust-driver/releases/tag/v3.8.2 | Product, Release Notes | |
| cna@mongodb.com | https://jira.mongodb.org/browse/RUST-2467 | Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| mongodb | rust_driver | * |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Rust Driver",
"vendor": "MongoDB",
"versions": [
{
"lessThan": "3.8.2",
"status": "affected",
"version": "3.0.0",
"versionType": "semver"
}
]
}
],
"source": "cna@mongodb.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:mongodb:rust_driver:*:*:*:*:*:mongodb:*:*",
"matchCriteriaId": "83F193F3-2DDF-44A0-A8C3-F2D78F096D3D",
"versionEndExcluding": "3.8.2",
"versionStartIncluding": "3.0.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The MongoDB Rust Driver does not neutralize special characters in a caller-supplied target identifier before embedding it in the request it sends to the server. An actor able to influence that identifier in an application using the driver may cause write operations to be applied to an unintended target within the same deployment using the application\u0027s own credentials. This may result in unauthorized modification of data belonging to another logical boundary enforced by the application."
}
],
"id": "CVE-2026-81526",
"lastModified": "2026-09-29T19:16:45.363",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "cna@mongodb.com",
"type": "Secondary"
}
],
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "HIGH",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cna@mongodb.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-81526",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-08-28T15:47:49.591838Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-08-27T20:18:51.057",
"references": [
{
"source": "cna@mongodb.com",
"tags": [
"Product",
"Release Notes"
],
"url": "https://github.com/mongodb/mongo-rust-driver/releases/tag/v3.8.2"
},
{
"source": "cna@mongodb.com",
"tags": [
"Vendor Advisory"
],
"url": "https://jira.mongodb.org/browse/RUST-2467"
}
],
"sourceIdentifier": "cna@mongodb.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-74"
}
],
"source": "cna@mongodb.com",
"type": "Secondary"
}
]
}
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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