CVE-2022-48282 (GCVE-0-2022-48282)
Vulnerability from cvelistv5 – Published: 2023-02-21 18:35 – Updated: 2025-03-11 19:20
VLAI
EPSS
VEX
Title
Deserializing compromised object with MongoDB .NET/C# Driver may cause remote code execution
Summary
Under very specific circumstances (see Required configuration section below), a privileged user is able to cause arbitrary code to be executed which may cause further disruption to services. This is specific to applications written in C#. This affects all MongoDB .NET/C# Driver versions prior to and including v2.18.0
Following configuration must be true for the vulnerability to be applicable: * Application must written in C# taking arbitrary data from users and serializing data using _t without any validation AND
* Application must be running on a Windows host using the full .NET Framework, not .NET Core AND
* Application must have domain model class with a property/field explicitly of type System.Object or a collection of type System.Object (against MongoDB best practice) AND
* Malicious attacker must have unrestricted insert access to target database to add a _t discriminator."Following configuration must be true for the vulnerability to be applicable
Severity
6.6 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-11 19:19 UTC
CWE
- CWE-502 - Deserialization of Untrusted Data
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| MongoDB Inc | MongoDB .NET/C# Driver |
Affected:
0 , ≤ v2.18.0
(custom)
|
guessed |
Date Public
2023-02-21 19:39
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"value": "\u003cspan style=\"background-color: rgb(238, 238, 238);\"\u003e\u003cspan style=\"background-color: rgb(238, 238, 238);\"\u003e\u003cspan style=\"background-color: rgb(238, 238, 238);\"\u003e\u003cspan style=\"background-color: rgb(238, 238, 238);\"\u003eUnder very specific circumstances (see Required configuration section below), a privileged user is able to cause arbitrary code to be executed which may cause further disruption to services. This is specific to applications written in C#. This affects all MongoDB .NET/C# Driver versions prior to and including v2.18.0\u003cbr\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003eFollowing configuration must be true for the vulnerability to be applicable:\u003cul\u003e\u003cli\u003e\u003cspan style=\"background-color: rgb(238, 238, 238);\"\u003eApplication must written in C# taking arbitrary data from users and serializing data using _t without any validation AND\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style=\"background-color: rgb(238, 238, 238);\"\u003eApplication must be running on a Windows host using the full .NET Framework, not .NET Core AND\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style=\"background-color: rgb(238, 238, 238);\"\u003eApplication must have domain model class with a property/field explicitly of type System.Object or a collection of type System.Object (against MongoDB best practice) AND\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan style=\"background-color: rgb(238, 238, 238);\"\u003eMalicious attacker must have unrestricted insert access to target database to add a _t discriminator.\u003c/span\u003e\"Following configuration must be true for the vulnerability to be applicable\u003c/li\u003e\u003c/ul\u003e\u003c/span\u003e\u003c/span\u003e\u003cbr\u003e"
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"metrics": [
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"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
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"baseScore": 6.6,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"descriptions": [
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"cweId": "CWE-502",
"description": "CWE-502 Deserialization of Untrusted Data",
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"providerMetadata": {
"dateUpdated": "2023-06-21T12:05:55.251Z",
"orgId": "a39b4221-9bd0-4244-95fc-f3e2e07f1deb",
"shortName": "mongodb"
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"references": [
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"url": "https://jira.mongodb.org/browse/CSHARP-4475"
},
{
"url": "https://github.com/mongodb/mongo-csharp-driver/releases/tag/v2.19.0"
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"source": {
"discovery": "EXTERNAL"
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"title": "Deserializing compromised object with MongoDB .NET/C# Driver may cause remote code execution",
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"cveId": "CVE-2022-48282",
"datePublished": "2023-02-21T18:35:11.643Z",
"dateReserved": "2023-01-23T15:11:45.562Z",
"dateUpdated": "2025-03-11T19:20:08.556Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
"dataVersion": "5.1"
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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.
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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