GSD-2024-32812
Vulnerability from gsd - Updated: 2024-04-19 05:01Details
Server-Side Request Forgery (SSRF) vulnerability in Podlove Podlove Podcast Publisher.This issue affects Podlove Podcast Publisher: from n/a through 4.0.11.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
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"aliases": [
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],
"details": "Server-Side Request Forgery (SSRF) vulnerability in Podlove Podlove Podcast Publisher.This issue affects Podlove Podcast Publisher: from n/a through 4.0.11.\n\n",
"id": "GSD-2024-32812",
"modified": "2024-04-19T05:01:57.854840Z",
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"product_name": "Podlove Podcast Publisher",
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"url": "https://patchstack.com/database/vulnerability/podlove-podcasting-plugin-for-wordpress/wordpress-podlove-podcast-publisher-plugin-4-0-11-server-side-request-forgery-ssrf-vulnerability?_s_id=cve"
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"solution": [
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"type": "text/html",
"value": "Update to 4.0.12 or a higher version."
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"value": "Vulnerabilidad de Server-Side Request Forgery (SSRF) en Podlove Podlove Podcast Publisher. Este problema afecta a Podlove Podcast Publisher: desde n/a hasta 4.0.11."
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],
"id": "CVE-2024-32812",
"lastModified": "2024-04-24T13:39:42.883",
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"published": "2024-04-24T08:15:40.457",
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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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