CVE-2023-49086 (GCVE-0-2023-49086)
Vulnerability from cvelistv5 – Published: 2023-12-21 23:29 – Updated: 2025-11-04 18:19
VLAI
EPSS
VEX
Title
Cacti is vulnerable to cross-Site scripting (XSS) DOM
Summary
Cacti is a robust performance and fault management framework and a frontend to RRDTool - a Time Series Database (TSDB). A vulnerability in versions prior to 1.2.27 bypasses an earlier fix for CVE-2023-39360, therefore leading to a DOM XSS attack. Exploitation of the vulnerability is possible for an authorized user. The vulnerable component is the `graphs_new.php`. The impact of the vulnerability is execution of arbitrary JavaScript code in the attacked user's browser. This issue has been patched in version 1.2.27.
Severity
5.4 (Medium)
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
4 references
Impacted products
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"cve": "CVE-2023-49086",
"id": "CVE-2023-49086",
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"source": "Red Hat CSAF VEX",
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"title": "cacti: XSS when adding new devices",
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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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