FKIE_CVE-2013-2955
Vulnerability from fkie_nvd - Published: 2013-05-27 14:55 - Updated: 2026-06-16 23:54
Severity
Summary
Cross-site scripting (XSS) vulnerability in IBM InfoSphere Optim Data Growth for Oracle E-Business Suite 6.x, 7.x, and 9.x before 9.1.0.3 allows remote authenticated users to inject arbitrary web script or HTML via a crafted URL, related to a stored XSS issue.
References
Impacted products
{
"affected": [
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"versions": [
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"source": "psirt@us.ibm.com"
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],
"configurations": [
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Cross-site scripting (XSS) vulnerability in IBM InfoSphere Optim Data Growth for Oracle E-Business Suite 6.x, 7.x, and 9.x before 9.1.0.3 allows remote authenticated users to inject arbitrary web script or HTML via a crafted URL, related to a stored XSS issue."
},
{
"lang": "es",
"value": "Vulnerabilidad Cross-site scripting (XSS) en IBM InfoSphere Optim Data Growth para Oracle E-Business Suite v6.x, v7.x, y v9.x anterior a v9.1.0.3 permite a los usuarios remotos autenticados inyectar secuencias de comandos web o HTML a trav\u00e9s de una URL modificada, relacionada con un problema de XSS almacenado."
}
],
"id": "CVE-2013-2955",
"lastModified": "2026-06-16T23:54:17.143",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
]
},
"published": "2013-05-27T14:55:01.227",
"references": [
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"tags": [
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"url": "http://www-01.ibm.com/support/docview.wss?uid=swg21637444"
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"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/83664"
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"vulnStatus": "Modified",
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"value": "CWE-79"
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"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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