CVE-2021-24404 (GCVE-0-2021-24404)
Vulnerability from cvelistv5 – Published: 2021-09-20 10:06 – Updated: 2024-08-03 19:28
VLAI
EPSS
VEX
Title
WP-Board <= 1.1 (beta) - Unauthenticated SQL Injection
Summary
The options.php file of the WP-Board WordPress plugin through 1.1 beta accepts a postid parameter which is not sanitised, escaped or validated before inserting to a SQL statement, leading to SQL injection. This is a time based SQLI and in the same function vulnerable parameter is passed twice so if we pass time as 5 seconds it takes 10 seconds to return since the query ran twice.
Severity
8.8 (High)
CWE
- CWE-89 - SQL Injection
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://wpscan.com/vulnerability/a86240e1-f064-49… | x_refsource_MISC |
| https://codevigilant.com/disclosure/2021/wp-plugi… | x_refsource_MISC |
Impacted products
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"lastModified": "2024-11-21T05:53:00.283",
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"title": "WP-Board \u003c= 1.1 (beta) - Unauthenticated SQL Injection",
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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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