FKIE_CVE-2014-2326
Vulnerability from fkie_nvd - Published: 2014-03-27 16:55 - Updated: 2026-06-17 00:06
Severity
Summary
Cross-site scripting (XSS) vulnerability in cdef.php in Cacti 0.8.7g, 0.8.8b, and earlier allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| fedoraproject | fedora | 19 | |
| fedoraproject | fedora | 20 | |
| opensuse | opensuse | 13.1 | |
| opensuse | opensuse | 13.2 | |
| cacti | cacti | 0.8.7g | |
| debian | debian_linux | 7.0 |
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{
"lang": "es",
"value": "Vulnerabilidad de XSS en cdef.php en Cacti 0.8.7g, 0.8.8b y versiones anteriores permite a atacantes remotos inyectar secuencias de comandos web o HTML arbitrarios a trav\u00e9s de vectores no especificados."
}
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"id": "CVE-2014-2326",
"lastModified": "2026-06-17T00:06:24.980",
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"accessVector": "NETWORK",
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"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
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"impactScore": 2.9,
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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.
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- 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
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