GSD-2022-31041
Vulnerability from gsd - Updated: 2023-12-13 01:19Details
Open Forms is an application for creating and publishing smart forms. Open Forms supports file uploads as one of the form field types. These fields can be configured to allow only certain file extensions to be uploaded by end users (e.g. only PDF / Excel / ...). The input validation of uploaded files is insufficient in versions prior to 1.0.9 and 1.1.1. Users could alter or strip file extensions to bypass this validation. This results in files being uploaded to the server that are of a different file type than indicated by the file name extension. These files may be downloaded (manually or automatically) by staff and/or other applications for further processing. Malicious files can therefore find their way into internal/trusted networks. Versions 1.0.9 and 1.1.1 contain patches for this issue. As a workaround, an API gateway or intrusion detection solution in front of open-forms may be able to scan for and block malicious content before it reaches the Open Forms application.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2022-31041",
"description": "Open Forms is an application for creating and publishing smart forms. Open Forms supports file uploads as one of the form field types. These fields can be configured to allow only certain file extensions to be uploaded by end users (e.g. only PDF / Excel / ...). The input validation of uploaded files is insufficient in versions prior to 1.0.9 and 1.1.1. Users could alter or strip file extensions to bypass this validation. This results in files being uploaded to the server that are of a different file type than indicated by the file name extension. These files may be downloaded (manually or automatically) by staff and/or other applications for further processing. Malicious files can therefore find their way into internal/trusted networks. Versions 1.0.9 and 1.1.1 contain patches for this issue. As a workaround, an API gateway or intrusion detection solution in front of open-forms may be able to scan for and block malicious content before it reaches the Open Forms application.",
"id": "GSD-2022-31041"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
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],
"details": "Open Forms is an application for creating and publishing smart forms. Open Forms supports file uploads as one of the form field types. These fields can be configured to allow only certain file extensions to be uploaded by end users (e.g. only PDF / Excel / ...). The input validation of uploaded files is insufficient in versions prior to 1.0.9 and 1.1.1. Users could alter or strip file extensions to bypass this validation. This results in files being uploaded to the server that are of a different file type than indicated by the file name extension. These files may be downloaded (manually or automatically) by staff and/or other applications for further processing. Malicious files can therefore find their way into internal/trusted networks. Versions 1.0.9 and 1.1.1 contain patches for this issue. As a workaround, an API gateway or intrusion detection solution in front of open-forms may be able to scan for and block malicious content before it reaches the Open Forms application.",
"id": "GSD-2022-31041",
"modified": "2023-12-13T01:19:17.834597Z",
"schema_version": "1.4.0"
}
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"TITLE": "Insufficient content-type validation for uploaded files in open-forms"
},
"affects": {
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}
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"impact": {
"cvss": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.6,
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"confidentialityImpact": "LOW",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:L",
"version": "3.1"
}
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"value": "CWE-20: Improper Input Validation"
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"description": [
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"value": "CWE-434: Unrestricted Upload of File with Dangerous Type"
}
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"source": {
"advisory": "GHSA-h85r-xv4w-cg8g",
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}
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"impact": {
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 4.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:S/C:N/I:P/A:N",
"version": "2.0"
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"scope": "UNCHANGED",
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}
},
"lastModifiedDate": "2022-06-23T18:26Z",
"publishedDate": "2022-06-13T13:15Z"
}
}
}
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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.
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
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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.