GSD-2024-24842
Vulnerability from gsd - Updated: 2024-02-01 06:02Details
Deserialization of Untrusted Data vulnerability in Echo Plugins Knowledge Base for Documentation, FAQs with AI Assistance.This issue affects Knowledge Base for Documentation, FAQs with AI Assistance: from n/a through 11.30.2.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"details": "Deserialization of Untrusted Data vulnerability in Echo Plugins Knowledge Base for Documentation, FAQs with AI Assistance.This issue affects Knowledge Base for Documentation, FAQs with AI Assistance: from n/a through 11.30.2.\n\n",
"id": "GSD-2024-24842",
"modified": "2024-02-01T06:02:24.279300Z",
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"product_name": "Knowledge Base for Documentation, FAQs with AI Assistance",
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"version_value": "not down converted",
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"credits": [
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"refsource": "MISC",
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"solution": [
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"supportingMedia": [
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"type": "text/html",
"value": "Update to 11.31.0 or a higher version."
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"value": "Deserialization of Untrusted Data vulnerability in Echo Plugins Knowledge Base for Documentation, FAQs with AI Assistance.This issue affects Knowledge Base for Documentation, FAQs with AI Assistance: from n/a through 11.30.2.\n\n"
},
{
"lang": "es",
"value": "Vulnerabilidad de deserializaci\u00f3n de datos no confiables en Echo Plugins Knowledge Base for Documentation, FAQs with AI Assistance. Este problema afecta a Echo Plugins Knowledge Base for Documentation, FAQs with AI Assistance: desde n/a hasta 11.30.2."
}
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"published": "2024-03-27T06:15:17.420",
"references": [
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"source": "audit@patchstack.com",
"url": "https://patchstack.com/database/vulnerability/echo-knowledge-base/wordpress-knowledge-base-for-documentation-faqs-with-ai-assistance-plugin-11-30-2-php-object-injection-vulnerability?_s_id=cve"
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"sourceIdentifier": "audit@patchstack.com",
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"type": "Primary"
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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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