GSD-2023-36814
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Products.CMFCore are the key framework services for the Zope Content Management Framework (CMF). The use of Python's marshal module to handle unchecked input in a public method on `PortalFolder` objects can lead to an unauthenticated denial of service and crash situation. The code in question is exposed by all portal software built on top of `Products.CMFCore`, such as Plone. All deployments are vulnerable. The code has been fixed in `Products.CMFCore` version 3.2.
Aliases
Aliases
{
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"alias": "CVE-2023-36814",
"id": "GSD-2023-36814"
},
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"id": "GSD-2023-36814",
"modified": "2023-12-13T01:20:34.455721Z",
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}
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},
"impact": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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"affected_range": "\u003c3.2",
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"cwe_ids": [
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"CWE-770",
"CWE-937"
],
"date": "2023-07-18",
"description": "Products.CMFCore are the key framework services for the Zope Content Management Framework (CMF). The use of Python\u0027s marshal module to handle unchecked input in a public method on `PortalFolder` objects can lead to an unauthenticated denial of service and crash situation. The code in question is exposed by all portal software built on top of `Products.CMFCore`, such as Plone. All deployments is vulnerable. The code has been fixed in `Products.CMFCore` version 3.2.",
"fixed_versions": [
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],
"identifier": "CVE-2023-36814",
"identifiers": [
"GHSA-4hpj-8rhv-9x87",
"CVE-2023-36814"
],
"not_impacted": "All versions starting from 3.2",
"package_slug": "pypi/Products.CMFCore",
"pubdate": "2023-07-05",
"solution": "Upgrade to version 3.2 or above.",
"title": "Allocation of Resources Without Limits or Throttling",
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"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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"lastModifiedDate": "2023-07-17T18:56Z",
"publishedDate": "2023-07-03T17:15Z"
}
}
}
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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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