CVE-2024-5756 (GCVE-0-2024-5756)
Vulnerability from cvelistv5 – Published: 2024-06-21 04:34 – Updated: 2026-04-08 17:20
VLAI
EPSS
VEX
Title
Icegram Express - Email Subscribers, Newsletters and Marketing Automation Plugin <= 5.7.23 - Unauthenticated SQL Injection via optin
Summary
The Email Subscribers by Icegram Express – Email Marketing, Newsletters, Automation for WordPress & WooCommerce plugin for WordPress is vulnerable to time-based SQL Injection via the db parameter in all versions up to, and including, 5.7.23 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-27 18:06 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| icegram | Email Subscribers & Newsletters – Email Marketing, Post Notifications & Newsletter Plugin for WordPress |
Affected:
0 , ≤ 5.7.23
(semver)
|
guessed | |
| icegram | email_subscribers_\&_newsletters |
Affected:
0 , ≤ 5.7.23
(custom)
cpe:2.3:a:icegram:email_subscribers_\&_newsletters:-:*:*:*:*:wordpress:*:* |
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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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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.