GSD-2023-47129
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Statmic is a core Laravel content management system Composer package. Prior to versions 3.4.13 and 4.33.0, on front-end forms with an asset upload field, PHP files crafted to look like images may be uploaded. This only affects forms using the "Forms" feature and not just _any_ arbitrary form. This does not affect the control panel. This issue has been patched in 3.4.13 and 4.33.0.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-47129",
"id": "GSD-2023-47129"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2023-47129"
],
"details": "Statmic is a core Laravel content management system Composer package. Prior to versions 3.4.13 and 4.33.0, on front-end forms with an asset upload field, PHP files crafted to look like images may be uploaded. This only affects forms using the \"Forms\" feature and not just _any_ arbitrary form. This does not affect the control panel. This issue has been patched in 3.4.13 and 4.33.0.\n",
"id": "GSD-2023-47129",
"modified": "2023-12-13T01:20:51.529640Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
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"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "cms",
"version": {
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{
"version_affected": "=",
"version_value": "\u003c 3.4.13"
},
{
"version_affected": "=",
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}
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}
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}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.4,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:H/I:H/A:H",
"version": "3.1"
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"description": [
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"cweId": "CWE-434",
"lang": "eng",
"value": "CWE-434: Unrestricted Upload of File with Dangerous Type"
}
]
}
]
},
"references": {
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{
"name": "https://github.com/statamic/cms/security/advisories/GHSA-72hg-5wr5-rmfc",
"refsource": "MISC",
"url": "https://github.com/statamic/cms/security/advisories/GHSA-72hg-5wr5-rmfc"
},
{
"name": "https://github.com/statamic/cms/commit/098ef8024d97286ca501273c18ae75b646262d75",
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"url": "https://github.com/statamic/cms/commit/098ef8024d97286ca501273c18ae75b646262d75"
},
{
"name": "https://github.com/statamic/cms/commit/f6c688154f6bdbd0b67039f8f11dcd98ba061e77",
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"url": "https://github.com/statamic/cms/commit/f6c688154f6bdbd0b67039f8f11dcd98ba061e77"
}
]
},
"source": {
"advisory": "GHSA-72hg-5wr5-rmfc",
"discovery": "UNKNOWN"
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"children": [],
"cpe_match": [
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"cpe23Uri": "cpe:2.3:a:statamic:statamic:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "4.33.0",
"versionStartIncluding": "4.0.0",
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"description": {
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"value": "Statmic is a core Laravel content management system Composer package. Prior to versions 3.4.13 and 4.33.0, on front-end forms with an asset upload field, PHP files crafted to look like images may be uploaded. This only affects forms using the \"Forms\" feature and not just _any_ arbitrary form. This does not affect the control panel. This issue has been patched in 3.4.13 and 4.33.0.\n"
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"references": {
"reference_data": [
{
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"refsource": "",
"tags": [
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"url": "https://github.com/statamic/cms/security/advisories/GHSA-72hg-5wr5-rmfc"
},
{
"name": "https://github.com/statamic/cms/commit/098ef8024d97286ca501273c18ae75b646262d75",
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},
"impact": {
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.8,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 5.9
}
},
"lastModifiedDate": "2023-11-17T17:15Z",
"publishedDate": "2023-11-10T19:15Z"
}
}
}
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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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