CVE-2024-31445 (GCVE-0-2024-31445)
Vulnerability from cvelistv5 – Published: 2024-05-13 15:05 – Updated: 2025-12-16 18:13
VLAI
EPSS
VEX
Title
SQL Injection vulnerability in automation_get_new_graphs_sql
Summary
Cacti provides an operational monitoring and fault management framework. Prior to version 1.2.27, a SQL injection vulnerability in `automation_get_new_graphs_sql` function of `api_automation.php` allows authenticated users to exploit these SQL injection vulnerabilities to perform privilege escalation and remote code execution. In `api_automation.php` line 856, the `get_request_var('filter')` is being concatenated into the SQL statement without any sanitization. In `api_automation.php` line 717, The filter of `'filter'` is `FILTER_DEFAULT`, which means there is no filter for it. Version 1.2.27 contains a patch for the issue.
Severity
8.8 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-05-17 04:00 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/Cacti/cacti/security/advisorie… | x_refsource_CONFIRM |
| https://github.com/Cacti/cacti/commit/fd93c6e4765… | x_refsource_MISC |
| https://github.com/Cacti/cacti/blob/5017129985897… | x_refsource_MISC |
| https://github.com/Cacti/cacti/blob/5017129985897… | x_refsource_MISC |
| https://lists.fedoraproject.org/archives/list/pac… | |
| https://lists.debian.org/debian-lts-announce/2024… |
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],
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{
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],
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},
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},
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"initial_release_date": "2024-05-15T02:29:50Z",
"product_status:recommended": "11",
"source": "SUSE CSAF VEX",
"status": "interim",
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"url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2024-31445.json",
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},
"vulnrichment": {
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}
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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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