CVE-2020-1702 (GCVE-0-2020-1702)
Vulnerability from cvelistv5 – Published: 2021-05-27 19:45 – Updated: 2024-08-04 06:46
VLAI
EPSS
VEX
Summary
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.
Severity
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=1792796 | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | containers/image |
Affected:
containers-image 5.2.0
|
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"redhat_vex": {
"aggregate_severity": "Low",
"current_release_date": "2026-06-26T22:04:56+00:00",
"cve": "CVE-2020-1702",
"id": "CVE-2020-1702",
"initial_release_date": "2020-01-20T00:00:00+00:00",
"product_status:fixed": "362",
"product_status:known_affected": "32",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "containers/image: Container images read entire image manifest into memory",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-1702.json",
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"cve": "CVE-2020-1702",
"id": "CVE-2020-1702",
"initial_release_date": "2023-10-31T02:31:55Z",
"product_status:recommended": "22",
"source": "SUSE CSAF VEX",
"status": "interim",
"title": "SUSE CVE CVE-2020-1702",
"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2020-1702.json",
"version": "7"
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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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