GSD-2020-8942
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
An arbitrary memory read vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to enc_untrusted_read whose return size was not validated against the requrested size. The parameter size is unchecked allowing the attacker to read memory locations outside of the intended buffer size including memory addresses within the secure enclave. We recommend upgrading past commit b1d120a2c7d7446d2cc58d517e20a1b184b82200
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-8942",
"description": "An arbitrary memory read vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to enc_untrusted_read whose return size was not validated against the requrested size. The parameter size is unchecked allowing the attacker to read memory locations outside of the intended buffer size including memory addresses within the secure enclave. We recommend upgrading past commit b1d120a2c7d7446d2cc58d517e20a1b184b82200",
"id": "GSD-2020-8942"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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],
"details": "An arbitrary memory read vulnerability in Asylo versions up to 0.6.0 allows an untrusted attacker to make a call to enc_untrusted_read whose return size was not validated against the requrested size. The parameter size is unchecked allowing the attacker to read memory locations outside of the intended buffer size including memory addresses within the secure enclave. We recommend upgrading past commit b1d120a2c7d7446d2cc58d517e20a1b184b82200",
"id": "GSD-2020-8942",
"modified": "2023-12-13T01:21:54.151667Z",
"schema_version": "1.4.0"
}
},
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"ASSIGNER": "security@google.com",
"ID": "CVE-2020-8942",
"STATE": "PUBLIC",
"TITLE": "Unchecked buffer overrun in enc_untrusted_read"
},
"affects": {
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"product": {
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{
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"version": {
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},
"vendor_name": "Google LLC"
}
]
}
},
"credit": [
{
"lang": "eng",
"value": "Qinkun Bao (Baidu Security)"
},
{
"lang": "eng",
"value": "Zhaofeng Chen (Baidu Security)"
},
{
"lang": "eng",
"value": "Mingshen Sun (Baidu Security)"
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"value": "Kang Li (Baidu Security)"
}
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"impact": {
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"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:N",
"version": "3.1"
}
},
"problemtype": {
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"url": "https://github.com/google/asylo/commit/b1d120a2c7d7446d2cc58d517e20a1b184b82200"
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"solution": [
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"lang": "eng",
"value": "We recommend upgrading past commit b1d120a2c7d7446d2cc58d517e20a1b184b82200"
}
],
"source": {
"discovery": "UNKNOWN"
}
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"cpe_match": [
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"cpe_name": [],
"versionEndIncluding": "0.6.0",
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"references": {
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"impact": {
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"authentication": "NONE",
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"severity": "LOW",
"userInteractionRequired": false
},
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"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 5.5,
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"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
"version": "3.1"
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"exploitabilityScore": 1.8,
"impactScore": 3.6
}
},
"lastModifiedDate": "2020-12-17T18:44Z",
"publishedDate": "2020-12-15T15:15Z"
}
}
}
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Nomenclature
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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.
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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.