CVE-2024-32476 (GCVE-0-2024-32476)
Vulnerability from cvelistv5 – Published: 2024-04-26 15:24 – Updated: 2024-08-02 02:13
VLAI
EPSS
VEX
Title
Denial of Service via malicious jqPathExpressions in ignoreDifferences
Summary
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. There is a Denial of Service (DoS) vulnerability via OOM using jq in ignoreDifferences. This vulnerability has been patched in version(s) 2.10.7, 2.9.12 and 2.8.16.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-29 11:57 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/argoproj/argo-cd/security/advi… | x_refsource_CONFIRM |
| https://github.com/argoproj/argo-cd/commit/789397… | x_refsource_MISC |
| https://github.com/argoproj/argo-cd/commit/9e5cc5… | x_refsource_MISC |
| https://github.com/argoproj/argo-cd/commit/e2df73… | x_refsource_MISC |
Impacted products
4 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| argoproj | argo-cd |
Affected:
>= 2.10.0, < 2.10.8
Affected: >= 2.9.0, < 2.9.13 Affected: < 2.8.17 |
guessed | |
| argoproj | argo-cd |
Affected:
2.10.0
cpe:2.3:a:argoproj:argo-cd:*:*:*:*:*:*:*:* |
||
| argoproj | argo-cd |
Affected:
2.9.0
cpe:2.3:a:argoproj:argo-cd:*:*:*:*:*:*:*:* |
||
| argoproj | argo-cd |
Affected:
*
cpe:2.3:a:argoproj:argo-cd:*:*:*:*:*:*:*:* |
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"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "Denial of Service via malicious jqPathExpressions in ignoreDifferences",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2024/cve-2024-32476.json",
"version": "3"
},
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],
"title": "CVE Program Container"
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{
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{
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{
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],
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"timestamp": "2024-04-29T11:57:07.386387Z",
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"baseScore": 6.5,
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
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"discovery": "UNKNOWN"
},
"title": "Denial of Service via malicious jqPathExpressions in ignoreDifferences"
}
},
"cveMetadata": {
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"assignerShortName": "GitHub_M",
"cveId": "CVE-2024-32476",
"datePublished": "2024-04-26T15:24:13.245Z",
"dateReserved": "2024-04-12T19:41:51.167Z",
"dateUpdated": "2024-08-02T02:13:38.994Z",
"state": "PUBLISHED"
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"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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