CVE-2024-32640 (GCVE-0-2024-32640)
Vulnerability from cvelistv5 – Published: 2025-08-11 20:38 – Updated: 2025-12-03 16:03Title
MasaCMS SQL Injection vulnerability
Summary
MASA CMS is an Enterprise Content Management platform based on open source technology. Versions prior to 7.4.5, 7.3.12, and 7.2.7 contain a SQL injection vulnerability in the `processAsyncObject` method that can result in remote code execution. Versions 7.4.5, 7.3.12, and 7.2.7 contain a fix for the issue.
Severity
9.8 (Critical)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-08-11 20:59 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://github.com/MasaCMS/MasaCMS/security/advis… | x_refsource_CONFIRM |
| https://github.com/MasaCMS/MasaCMS/commit/259fc60… | x_refsource_MISC |
| https://github.com/MasaCMS/MasaCMS/commit/280489e… | x_refsource_MISC |
| https://github.com/MasaCMS/MasaCMS/commit/3d6319b… | x_refsource_MISC |
| https://github.com/Stuub/CVE-2024-32640-SQLI-MuraCMS | x_refsource_MISC |
| https://projectdiscovery.io/blog/hacking-apple-wi… | x_refsource_MISC |
| https://www.seebug.org/vuldb/ssvid-99835 | x_refsource_MISC |
Impacted products
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 9be38d05-abf4-4991-bf24-1b63e4defaa3
Exploited: Yes
Timestamps
First Seen: 2025-06-26
Asserted: 2025-06-26
Scope
Notes: MasaCMS SQL Injection vulnerability | Affected: MasaCMS / MasaCMS | CVSS: 9.8 (CRITICAL) | EPSS: 0.76558 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | MasaCMS SQL Injection vulnerability |
| Cve Id | CVE-2024-32640 |
| Vendor | MasaCMS |
| Ghsa Id | None |
| Product | MasaCMS |
| Added Date | 2025-06-26T00:00:00.000Z |
| Cvss Score | 9.8 |
| Epss Score | 0.76558 |
| Previous Ids | |
| Cvss Severity | CRITICAL |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99528 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2024-32640 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:09 CEST
| Updated: 2026-10-02 09:09 CEST
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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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