FKIE_CVE-2020-8165
Vulnerability from fkie_nvd - Published: 2020-06-19 18:15 - Updated: 2026-06-17 03:25
Severity
Summary
A deserialization of untrusted data vulnernerability exists in rails < 5.2.4.3, rails < 6.0.3.1 that can allow an attacker to unmarshal user-provided objects in MemCacheStore and RedisCacheStore potentially resulting in an RCE.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| rubyonrails | rails | * | |
| rubyonrails | rails | * | |
| debian | debian_linux | 8.0 | |
| debian | debian_linux | 9.0 | |
| debian | debian_linux | 10.0 | |
| opensuse | leap | 15.1 | |
| opensuse | leap | 15.2 |
{
"affected": [
{
"affectedData": [
{
"product": "https://github.com/rails/rails",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Fixed in 5.2.4.3, 6.0.3.1"
}
]
}
],
"source": "support@hackerone.com"
}
],
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"versionEndExcluding": "5.2.4.3",
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A deserialization of untrusted data vulnernerability exists in rails \u003c 5.2.4.3, rails \u003c 6.0.3.1 that can allow an attacker to unmarshal user-provided objects in MemCacheStore and RedisCacheStore potentially resulting in an RCE."
},
{
"lang": "es",
"value": "Se presenta una vulnerabilidad de deserializaci\u00f3n de datos no confiables en rails versiones anteriores a 5.2.4.3, rails versiones anteriores a 6.0.3.1, que puede permitir a un atacante desarmar los objetos proporcionados por el usuario en MemCacheStore y RedisCacheStore, lo que podr\u00eda generar un RCE"
}
],
"id": "CVE-2020-8165",
"lastModified": "2026-06-17T03:25:58.407",
"metrics": {
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"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 7.5,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.4,
"obtainAllPrivilege": false,
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"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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"published": "2020-06-19T18:15:11.067",
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},
{
"source": "support@hackerone.com",
"tags": [
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"url": "https://www.debian.org/security/2020/dsa-4766"
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"url": "https://security.netapp.com/advisory/ntap-20250509-0002/"
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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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