CVE-2024-27112 (GCVE-0-2024-27112)
Vulnerability from cvelistv5 – Published: 2024-09-11 13:41 – Updated: 2025-03-11 13:38
VLAI
EPSS
VEX
Title
SQL Injection in SOPlanning before 1.52.02
Summary
A unauthenticated SQL Injection has been found in the SO Planning tool that occurs when the public view setting is enabled. An attacker could use this vulnerability to gain access to the underlying database. The vulnerability has been remediated in version 1.52.02.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-11 13:56 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://csirt.divd.nl/CVE-2024-27112 | third-party-advisory |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Simple Online Planning | SO Planning |
Affected:
before 1.52.01
|
guessed | |
| soplanning | soplanning |
Affected:
0 , < 1.52.02
(custom)
cpe:2.3:a:soplanning:soplanning:*:*:*:*:*:*:*:* |
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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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.