GSD-2020-1702
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
A malicious container image can consume an unbounded amount of memory when being pulled to a container runtime host, such as Red Hat Enterprise Linux using podman, or OpenShift Container Platform. An attacker can use this flaw to trick a user, with privileges to pull container images, into crashing the process responsible for pulling the image. This flaw affects containers-image versions before 5.2.0.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-1702",
"description": "A malicious container image can consume an unbounded amount of memory when being pulled to a container runtime host, such as Red Hat Enterprise Linux using podman, or OpenShift Container Platform. An attacker can use this flaw to trick a user, with privileges to pull container images, into crashing the process responsible for pulling the image. This flaw affects containers-image versions before 5.2.0.",
"id": "GSD-2020-1702",
"references": [
"https://access.redhat.com/errata/RHSA-2020:2681",
"https://access.redhat.com/errata/RHSA-2020:2218",
"https://access.redhat.com/errata/RHSA-2020:2116",
"https://access.redhat.com/errata/RHSA-2020:1937",
"https://access.redhat.com/errata/RHSA-2020:1650",
"https://access.redhat.com/errata/RHSA-2020:1234",
"https://access.redhat.com/errata/RHSA-2020:1227",
"https://access.redhat.com/errata/RHBA-2020:0492",
"https://linux.oracle.com/cve/CVE-2020-1702.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-1702"
],
"details": "A malicious container image can consume an unbounded amount of memory when being pulled to a container runtime host, such as Red Hat Enterprise Linux using podman, or OpenShift Container Platform. An attacker can use this flaw to trick a user, with privileges to pull container images, into crashing the process responsible for pulling the image. This flaw affects containers-image versions before 5.2.0.",
"id": "GSD-2020-1702",
"modified": "2023-12-13T01:21:58.231653Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"ID": "CVE-2020-1702",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "containers/image",
"version": {
"version_data": [
{
"version_value": "containers-image 5.2.0"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
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"lang": "eng",
"value": "A malicious container image can consume an unbounded amount of memory when being pulled to a container runtime host, such as Red Hat Enterprise Linux using podman, or OpenShift Container Platform. An attacker can use this flaw to trick a user, with privileges to pull container images, into crashing the process responsible for pulling the image. This flaw affects containers-image versions before 5.2.0."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-400"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://bugzilla.redhat.com/show_bug.cgi?id=1792796",
"refsource": "MISC",
"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1792796"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:containers-image_project:containers-image:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "5.2.0",
"vulnerable": true
}
],
"operator": "OR"
},
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:o:redhat:enterprise_linux:8.0:*:*:*:*:*:*:*",
"cpe_name": [],
"vulnerable": true
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],
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},
"cve": {
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"ID": "CVE-2020-1702"
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"description": {
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}
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"references": {
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"tags": [
"Issue Tracking"
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"url": "https://bugzilla.redhat.com/show_bug.cgi?id=1792796"
}
]
}
},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 3.3,
"baseSeverity": "LOW",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 1.4
}
},
"lastModifiedDate": "2021-06-10T15:16Z",
"publishedDate": "2021-05-27T20:15Z"
}
}
}
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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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