GSD-2022-39297
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
MelisCms provides a full CMS for Melis Platform, including templating system, drag'n'drop of plugins, SEO and many administration tools. Attackers can deserialize arbitrary data on affected versions of `melisplatform/melis-cms`, and ultimately leads to the execution of arbitrary PHP code on the system. Conducting this attack does not require authentication. Users should immediately upgrade to `melisplatform/melis-cms` >= 5.0.1. This issue was addressed by restricting allowed classes when deserializing user-controlled data.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-39297",
"description": "MelisCms provides a full CMS for Melis Platform, including templating system, drag\u0027n\u0027drop of plugins, SEO and many administration tools. Attackers can deserialize arbitrary data on affected versions of `melisplatform/melis-cms`, and ultimately leads to the execution of arbitrary PHP code on the system. Conducting this attack does not require authentication. Users should immediately upgrade to `melisplatform/melis-cms` \u003e= 5.0.1. This issue was addressed by restricting allowed classes when deserializing user-controlled data.",
"id": "GSD-2022-39297"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "MelisCms provides a full CMS for Melis Platform, including templating system, drag\u0027n\u0027drop of plugins, SEO and many administration tools. Attackers can deserialize arbitrary data on affected versions of `melisplatform/melis-cms`, and ultimately leads to the execution of arbitrary PHP code on the system. Conducting this attack does not require authentication. Users should immediately upgrade to `melisplatform/melis-cms` \u003e= 5.0.1. This issue was addressed by restricting allowed classes when deserializing user-controlled data.",
"id": "GSD-2022-39297",
"modified": "2023-12-13T01:19:20.543613Z",
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.7,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
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"source": {
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"discovery": "UNKNOWN"
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"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c5.0.1",
"affected_versions": "All versions before 5.0.1",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"cwe_ids": [
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"CWE-502",
"CWE-937",
"CWE-78"
],
"date": "2022-10-13",
"description": "MelisCms provides a full CMS for Melis Platform, including templating system, drag\u0027n\u0027drop of plugins, SEO and many administration tools. Attackers can deserialize arbitrary data on affected versions of `melisplatform/melis-cms`, and ultimately leads to the execution of arbitrary PHP code on the system. Conducting this attack does not require authentication. Users should immediately upgrade to `melisplatform/melis-cms` \u003e= 5.0.1. This issue was addressed by restricting allowed classes when deserializing user-controlled data.",
"fixed_versions": [
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"identifier": "CVE-2022-39297",
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"CVE-2022-39297",
"GHSA-m3m3-6gww-7gj9",
"GMS-2022-5287"
],
"not_impacted": "All versions starting from 5.0.1",
"package_slug": "packagist/melisplatform/melis-cms",
"pubdate": "2022-10-12",
"solution": "Upgrade to version 5.0.1 or above.",
"title": "Deserialization of Untrusted Data",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2022-39297",
"https://github.com/melisplatform/melis-cms/commit/d124b2474699a679a24ec52620cadceb3d4cec11",
"https://github.com/melisplatform/melis-cms/security/advisories/GHSA-m3m3-6gww-7gj9",
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"date": "2022-10-11",
"description": "Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027) in melisplatform/melis-cms.",
"fixed_versions": [
"5.0.1"
],
"identifier": "GMS-2022-5287",
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"GHSA-m3m3-6gww-7gj9",
"GMS-2022-5287",
"CVE-2022-39297"
],
"not_impacted": "All versions starting from 5.0.1",
"package_slug": "packagist/melisplatform/melis-cms",
"pubdate": "2022-10-11",
"solution": "Upgrade to version 5.0.1 or above.",
"title": "Duplicate of ./packagist/melisplatform/melis-cms/CVE-2022-39297.yml",
"urls": [
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"https://github.com/advisories/GHSA-m3m3-6gww-7gj9"
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"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
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"lastModifiedDate": "2022-10-13T17:35Z",
"publishedDate": "2022-10-12T23:15Z"
}
}
}
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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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