GSD-2023-32513
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Deserialization of Untrusted Data vulnerability in GiveWP GiveWP – Donation Plugin and Fundraising Platform.This issue affects GiveWP – Donation Plugin and Fundraising Platform: from n/a through 2.25.3.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-32513",
"id": "GSD-2023-32513"
},
"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "Deserialization of Untrusted Data vulnerability in GiveWP GiveWP \u2013 Donation Plugin and Fundraising Platform.This issue affects GiveWP \u2013 Donation Plugin and Fundraising Platform: from n/a through 2.25.3.\n\n",
"id": "GSD-2023-32513",
"modified": "2023-12-13T01:20:23.677239Z",
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}
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"baseScore": 7.5,
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"value": "CWE-502 Deserialization of Untrusted Data"
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"references": {
"reference_data": [
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"name": "https://patchstack.com/database/vulnerability/give/wordpress-give-donation-plugin-plugin-2-25-3-php-object-injection-vulnerability?_s_id=cve",
"refsource": "MISC",
"url": "https://patchstack.com/database/vulnerability/give/wordpress-give-donation-plugin-plugin-2-25-3-php-object-injection-vulnerability?_s_id=cve"
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"solution": [
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"supportingMedia": [
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"type": "text/html",
"value": "Update to\u0026nbsp;2.26.0 or a higher version."
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}
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"source": {
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"cve": {
"configurations": [
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},
{
"lang": "es",
"value": "Vulnerabilidad de deserializaci\u00f3n de de datos no confiables en GiveWP GiveWP \u2013 Donation Plugin and Fundraising Platform. Este problema afecta a GiveWP \u2013 Donation Plugin and Fundraising Platform: desde n/a hasta 2.25.3."
}
],
"id": "CVE-2023-32513",
"lastModified": "2024-01-04T19:32:31.050",
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"published": "2023-12-28T11:15:08.590",
"references": [
{
"source": "audit@patchstack.com",
"tags": [
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"url": "https://patchstack.com/database/vulnerability/give/wordpress-give-donation-plugin-plugin-2-25-3-php-object-injection-vulnerability?_s_id=cve"
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}
}
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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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