CVE-2020-37244 (GCVE-0-2020-37244)
Vulnerability from cvelistv5 – Published: 2026-05-16 15:25 – Updated: 2026-07-28 01:47
VLAI
EPSS
VEX
Title
WordPress Plugin Supsystic Membership 1.4.7 SQL Injection via sidx
Summary
Supsystic Membership 1.4.7 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the 'search' and 'sidx' parameters. Attackers can send GET requests to the badges module with crafted payloads to extract sensitive database information using time-based blind or UNION-based SQL injection techniques.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-05-18 17:03 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://www.exploit-db.com/exploits/49540 | exploit |
| https://supsystic.com/ | product |
| https://downloads.wordpress.org/plugin/membership… | product |
| https://www.vulncheck.com/advisories/wordpress-pl… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Supsystic | Membership |
Affected:
1.4.7
cpe:2.3:a:ithemes:membership:1.4.7:*:*:*:*:wordpress:*:* |
Date Public
2020-09-08 00:00
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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
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Sightings and recorded dates, grouped by day · UTC
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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.
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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.