CVE-2022-3064 (GCVE-0-2022-3064)
Vulnerability from cvelistv5 – Published: 2022-12-27 21:17 – Updated: 2025-04-14 17:05
VLAI
EPSS
VEX
Title
Excessive resource consumption in gopkg.in/yaml.v2
Summary
Parsing malicious or large YAML documents can consume excessive amounts of CPU or memory.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-14 17:03 UTC
CWE
- CWE 400: Uncontrolled Resource Consumption
Assigner
References
10 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| gopkg.in/yaml.v2 | gopkg.in/yaml.v2 |
Affected:
0 , < 2.2.4
(semver)
|
guessed |
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"product_status:under_investigation": "2",
"source": "Red Hat CSAF VEX",
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"title": "go-yaml: Improve heuristics preventing CPU/memory abuse by parsing malicious or large YAML documents",
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},
"vulnrichment": {
"containers": "{\"adp\": [{\"title\": \"CVE Program Container\", \"references\": [{\"url\": \"https://github.com/go-yaml/yaml/commit/f221b8435cfb71e54062f6c6e99e9ade30b124d5\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://github.com/go-yaml/yaml/releases/tag/v2.2.4\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://pkg.go.dev/vuln/GO-2022-0956\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://lists.debian.org/debian-lts-announce/2023/07/msg00001.html\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/ZTE4ITXXPIWZEQ4HYQCB6N6GZIMWXDAI/\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/4SBIUECMLNC572P23DDOKJNKPJVX26SP/\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/PW3XC47AUW5J5M2ULJX7WCCL3B2ETLMT/\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/LYZOKMMVX4SIEHPJW3SJUQGMO5YZCPHC/\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/XNF4OLYZRQE75EB5TW5N42FSXHBXGWFE/\", \"tags\": [\"x_transferred\"]}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/ANIOPUXWIHVRA6CEWXCGOMX3YYS6KFHG/\", \"tags\": [\"x_transferred\"]}], \"providerMetadata\": {\"orgId\": \"af854a3a-2127-422b-91ae-364da2661108\", \"shortName\": \"CVE\", \"dateUpdated\": \"2024-08-03T01:00:10.262Z\"}}, {\"title\": \"CISA ADP Vulnrichment\", \"metrics\": [{\"cvssV3_1\": {\"scope\": \"UNCHANGED\", \"version\": \"3.1\", \"baseScore\": 7.5, \"attackVector\": \"NETWORK\", \"baseSeverity\": \"HIGH\", \"vectorString\": \"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H\", \"integrityImpact\": \"NONE\", \"userInteraction\": \"NONE\", \"attackComplexity\": \"LOW\", \"availabilityImpact\": \"HIGH\", \"privilegesRequired\": \"NONE\", \"confidentialityImpact\": \"NONE\"}}, {\"other\": {\"type\": \"ssvc\", \"content\": {\"id\": \"CVE-2022-3064\", \"role\": \"CISA Coordinator\", \"options\": [{\"Exploitation\": \"none\"}, {\"Automatable\": \"no\"}, {\"Technical Impact\": \"partial\"}], \"version\": \"2.0.3\", \"timestamp\": \"2025-04-14T17:03:22.468273Z\"}}}], \"providerMetadata\": {\"orgId\": \"134c704f-9b21-4f2e-91b3-4a467353bcc0\", \"shortName\": \"CISA-ADP\", \"dateUpdated\": \"2025-04-14T17:04:41.748Z\"}}], \"cna\": {\"title\": \"Excessive resource consumption in gopkg.in/yaml.v2\", \"affected\": [{\"vendor\": \"gopkg.in/yaml.v2\", \"product\": \"gopkg.in/yaml.v2\", \"versions\": [{\"status\": \"affected\", \"version\": \"0\", \"lessThan\": \"2.2.4\", \"versionType\": \"semver\"}], \"packageName\": \"gopkg.in/yaml.v2\", \"collectionURL\": \"https://pkg.go.dev\", \"defaultStatus\": \"unaffected\", \"programRoutines\": [{\"name\": \"decoder.unmarshal\"}, {\"name\": \"yaml_parser_increase_flow_level\"}, {\"name\": \"yaml_parser_roll_indent\"}, {\"name\": \"Decoder.Decode\"}, {\"name\": \"Unmarshal\"}, {\"name\": \"UnmarshalStrict\"}]}], \"references\": [{\"url\": \"https://github.com/go-yaml/yaml/commit/f221b8435cfb71e54062f6c6e99e9ade30b124d5\"}, {\"url\": \"https://github.com/go-yaml/yaml/releases/tag/v2.2.4\"}, {\"url\": \"https://pkg.go.dev/vuln/GO-2022-0956\"}, {\"url\": \"https://lists.debian.org/debian-lts-announce/2023/07/msg00001.html\"}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/ZTE4ITXXPIWZEQ4HYQCB6N6GZIMWXDAI/\"}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/4SBIUECMLNC572P23DDOKJNKPJVX26SP/\"}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/PW3XC47AUW5J5M2ULJX7WCCL3B2ETLMT/\"}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/LYZOKMMVX4SIEHPJW3SJUQGMO5YZCPHC/\"}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/XNF4OLYZRQE75EB5TW5N42FSXHBXGWFE/\"}, {\"url\": \"https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/ANIOPUXWIHVRA6CEWXCGOMX3YYS6KFHG/\"}], \"descriptions\": [{\"lang\": \"en\", \"value\": \"Parsing malicious or large YAML documents can consume excessive amounts of CPU or memory.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"description\": \"CWE 400: Uncontrolled Resource Consumption\"}]}], \"providerMetadata\": {\"orgId\": \"1bb62c36-49e3-4200-9d77-64a1400537cc\", \"shortName\": \"Go\", \"dateUpdated\": \"2023-09-15T20:06:24.297Z\"}}}",
"cveMetadata": "{\"cveId\": \"CVE-2022-3064\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-04-14T17:05:01.917Z\", \"dateReserved\": \"2022-08-30T15:40:50.104Z\", \"assignerOrgId\": \"1bb62c36-49e3-4200-9d77-64a1400537cc\", \"datePublished\": \"2022-12-27T21:17:41.860Z\", \"assignerShortName\": \"Go\"}",
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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