FKIE_CVE-2022-25647
Vulnerability from fkie_nvd - Published: 2022-05-01 16:15 - Updated: 2026-06-17 04:33
Severity
7.7 (High) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:H
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 (High) - CVSS:3.1/
Summary
The package com.google.code.gson:gson before 2.8.9 are vulnerable to Deserialization of Untrusted Data via the writeReplace() method in internal classes, which may lead to DoS attacks.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| gson | * | ||
| debian | debian_linux | 9.0 | |
| debian | debian_linux | 10.0 | |
| debian | debian_linux | 11.0 | |
| netapp | active_iq_unified_manager | - | |
| netapp | active_iq_unified_manager | - | |
| netapp | active_iq_unified_manager | - | |
| oracle | financial_services_crime_and_compliance_management_studio | 8.0.8.2.0 | |
| oracle | financial_services_crime_and_compliance_management_studio | 8.0.8.3.0 | |
| oracle | graalvm | 20.3.6 | |
| oracle | graalvm | 21.3.2 | |
| oracle | graalvm | 22.1.0 | |
| oracle | retail_order_broker | 18.0 | |
| oracle | retail_order_broker | 19.1 |
{
"affected": [
{
"affectedData": [
{
"product": "com.google.code.gson:gson",
"vendor": "n/a",
"versions": [
{
"lessThan": "2.8.9",
"status": "affected",
"version": "unspecified",
"versionType": "custom"
}
]
}
],
"source": "report@snyk.io"
}
],
"configurations": [
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"matchCriteriaId": "BDD6E481-96F1-4FE9-9283-775786501464",
"versionEndExcluding": "2.8.9",
"versionStartIncluding": "2.2.3",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
},
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"vulnerable": true
},
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "The package com.google.code.gson:gson before 2.8.9 are vulnerable to Deserialization of Untrusted Data via the writeReplace() method in internal classes, which may lead to DoS attacks."
},
{
"lang": "es",
"value": "El paquete com.google.code.gson:gson versiones anteriores a 2.8.9, son vulnerables a una Deserializaci\u00f3n de Datos No Confiables por medio del m\u00e9todo writeReplace() en clases internas, lo cual puede conllevar a ataques DoS"
}
],
"id": "CVE-2022-25647",
"lastModified": "2026-06-17T04:33:49.890",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
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"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.7,
"baseSeverity": "HIGH",
"confidentialityImpact": "LOW",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 5.5,
"source": "report@snyk.io",
"type": "Secondary"
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{
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"availabilityImpact": "HIGH",
"baseScore": 7.5,
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
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"ssvcV203": [
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"ssvcData": {
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"options": [
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},
{
"automatable": "no"
},
{
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}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-22T13:25:33.911049Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-05-01T16:15:08.603",
"references": [
{
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"tags": [
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{
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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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