FKIE_CVE-2019-4644
Vulnerability from fkie_nvd - Published: 2020-04-17 14:15 - Updated: 2026-06-17 02:36
Severity
Summary
IBM Maximo Asset Management 7.6 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 170880.
References
| URL | Tags | ||
|---|---|---|---|
| psirt@us.ibm.com | https://exchange.xforce.ibmcloud.com/vulnerabilities/170880 | VDB Entry, Vendor Advisory | |
| psirt@us.ibm.com | https://www.ibm.com/support/pages/node/6191583 | Patch, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://exchange.xforce.ibmcloud.com/vulnerabilities/170880 | VDB Entry, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.ibm.com/support/pages/node/6191583 | Patch, Vendor Advisory |
Impacted products
{
"affected": [
{
"affectedData": [
{
"product": "Maximo Asset Management",
"vendor": "IBM",
"versions": [
{
"status": "affected",
"version": "7.6"
}
]
}
],
"source": "psirt@us.ibm.com"
}
],
"configurations": [
{
"nodes": [
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"vulnerable": true
},
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"matchCriteriaId": "CE7C8399-A024-45CE-A2CD-658A2D99ABDA",
"vulnerable": true
},
{
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],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "IBM Maximo Asset Management 7.6 is vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 170880."
},
{
"lang": "es",
"value": "IBM Maximo Asset Management versi\u00f3n 7.6, es vulnerable a un ataque de tipo cross-site scripting. Esta vulnerabilidad permite a usuarios insertar c\u00f3digo JavaScript arbitrario en la Interfaz de Usuario Web, alterando as\u00ed la funcionalidad prevista, conllevando a una divulgaci\u00f3n de credenciales en una sesi\u00f3n confiable. IBM X-Force ID: 170880."
}
],
"id": "CVE-2019-4644",
"lastModified": "2026-06-17T02:36:45.123",
"metrics": {
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{
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"baseSeverity": "MEDIUM",
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"authentication": "NONE",
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"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
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},
"published": "2020-04-17T14:15:17.833",
"references": [
{
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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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