GSD-2022-37023
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Apache Geode versions prior to 1.15.0 are vulnerable to a deserialization of untrusted data flaw when using REST API on Java 8 or Java 11. Any user wishing to protect against deserialization attacks involving REST APIs should upgrade to Apache Geode 1.15 and follow the documentation for details on enabling "validate-serializable-objects=true" and specifying any user classes that may be serialized/deserialized with "serializable-object-filter". Enabling "validate-serializable-objects" may impact performance.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-37023",
"description": "Apache Geode versions prior to 1.15.0 are vulnerable to a deserialization of untrusted data flaw when using REST API on Java 8 or Java 11. Any user wishing to protect against deserialization attacks involving REST APIs should upgrade to Apache Geode 1.15 and follow the documentation for details on enabling \"validate-serializable-objects=true\" and specifying any user classes that may be serialized/deserialized with \"serializable-object-filter\". Enabling \"validate-serializable-objects\" may impact performance.",
"id": "GSD-2022-37023"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "Apache Geode versions prior to 1.15.0 are vulnerable to a deserialization of untrusted data flaw when using REST API on Java 8 or Java 11. Any user wishing to protect against deserialization attacks involving REST APIs should upgrade to Apache Geode 1.15 and follow the documentation for details on enabling \"validate-serializable-objects=true\" and specifying any user classes that may be serialized/deserialized with \"serializable-object-filter\". Enabling \"validate-serializable-objects\" may impact performance.",
"id": "GSD-2022-37023",
"modified": "2023-12-13T01:19:13.652874Z",
"schema_version": "1.4.0"
}
},
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},
"affects": {
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"version": {
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"version_affected": "\u003c",
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"value": "Disable affected services such as JMX over RMI or REST APIs unless they are required. REST APIs can be disabled by setting `http-service-port` to zero."
}
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},
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"advisories": [
{
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"cwe_ids": [
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"CWE-502",
"CWE-937"
],
"date": "2022-09-06",
"description": "Apache Geode versions prior to 1.15.0 is vulnerable to a deserialization of untrusted data flaw when using REST API on Java 8 or Java 11. Any user wishing to protect against deserialization attacks involving REST APIs should upgrade to Apache Geode 1.15 and follow the documentation for details on enabling \"validate-serializable-objects=true\" and specifying any user classes that may be serialized/deserialized with \"serializable-object-filter\". Enabling \"validate-serializable-objects\" may impact performance.",
"fixed_versions": [
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],
"identifier": "CVE-2022-37023",
"identifiers": [
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],
"not_impacted": "",
"package_slug": "maven/org.apache.geode/geode-core",
"pubdate": "2022-08-31",
"solution": "Upgrade to version 1.15.0 or above.",
"title": "Deserialization of Untrusted Data",
"urls": [
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"description": {
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"value": "Apache Geode versions prior to 1.15.0 are vulnerable to a deserialization of untrusted data flaw when using REST API on Java 8 or Java 11. Any user wishing to protect against deserialization attacks involving REST APIs should upgrade to Apache Geode 1.15 and follow the documentation for details on enabling \"validate-serializable-objects=true\" and specifying any user classes that may be serialized/deserialized with \"serializable-object-filter\". Enabling \"validate-serializable-objects\" may impact performance."
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"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2022-09-06T18:16Z",
"publishedDate": "2022-08-31T07:15Z"
}
}
}
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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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