GSD-2023-51696
Vulnerability from gsd - Updated: 2023-12-22 06:01Details
Cross-Site Request Forgery (CSRF) vulnerability in СleanTalk - Anti-Spam Protection Spam protection, Anti-Spam, FireWall by CleanTalk.This issue affects Spam protection, Anti-Spam, FireWall by CleanTalk: from n/a through 6.20.
Aliases
{
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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],
"details": "Cross-Site Request Forgery (CSRF) vulnerability in \u0421leanTalk - Anti-Spam Protection Spam protection, Anti-Spam, FireWall by CleanTalk.This issue affects Spam protection, Anti-Spam, FireWall by CleanTalk: from n/a through 6.20.\n\n",
"id": "GSD-2023-51696",
"modified": "2023-12-22T06:01:25.213490Z",
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"value": "Vulnerabilidad de Cross-Site Request Forgery (CSRF) en ?leanTalk - Anti-Spam Protection Spam protection, Anti-Spam, FireWall by CleanTalk. Este problema afecta a la protecci\u00f3n contra spam, Anti-Spam, FireWall de CleanTalk: desde n/a hasta 6.20."
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],
"id": "CVE-2023-51696",
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"url": "https://patchstack.com/database/vulnerability/cleantalk-spam-protect/wordpress-spam-protection-antispam-firewall-by-cleantalk-anti-spam-plugin-6-20-cross-site-request-forgery-csrf-vulnerability?_s_id=cve"
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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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