CVE-2024-31460 (GCVE-0-2024-31460)
Vulnerability from cvelistv5 – Published: 2024-05-13 15:14 – Updated: 2025-11-04 16:12
VLAI
EPSS
VEX
Title
Cacti SQL Injection vulnerability in lib/api_automation.php caused by reading dirty data stored in database
Summary
Cacti provides an operational monitoring and fault management framework. Prior to version 1.2.27, some of the data stored in `automation_tree_rules.php` is not thoroughly checked and is used to concatenate the SQL statement in `create_all_header_nodes()` function from `lib/api_automation.php` , finally resulting in SQL injection. Using SQL based secondary injection technology, attackers can modify the contents of the Cacti database, and based on the modified content, it may be possible to achieve further impact, such as arbitrary file reading, and even remote code execution through arbitrary file writing. Version 1.2.27 contains a patch for the issue.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-05-13 17:23 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
4 references
Impacted products
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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.
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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