FKIE_CVE-2025-20272
Vulnerability from fkie_nvd - Published: 2025-07-16 17:15 - Updated: 2026-06-29 17:13
Severity
Summary
A vulnerability in a subset of REST APIs of Cisco Prime Infrastructure and Cisco Evolved Programmable Network Manager (EPNM) could allow an authenticated, low-privileged, remote attacker to conduct a blind SQL injection attack.
This vulnerability is due to insufficient validation of user-supplied input. An attacker could exploit this vulnerability by sending a crafted request to an affected API. A successful exploit could allow the attacker to view data in some database tables on an affected device.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| cisco | prime_infrastructure | * | |
| cisco | prime_infrastructure | 3.10.6 | |
| cisco | prime_infrastructure | 3.10.6 | |
| cisco | evolved_programmable_network_manager | * | |
| cisco | evolved_programmable_network_manager | 8.1.0 |
{
"affected": [
{
"affectedData": [
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"vendor": "Cisco",
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{
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{
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{
"status": "affected",
"version": "3.1.1"
},
{
"status": "affected",
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{
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{
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{
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{
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{
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},
{
"status": "affected",
"version": "1.1"
},
{
"status": "affected",
"version": "2.1"
},
{
"status": "affected",
"version": "2.0"
},
{
"status": "affected",
"version": "4.1"
},
{
"status": "affected",
"version": "4.1.1"
},
{
"status": "affected",
"version": "4.0.3"
},
{
"status": "affected",
"version": "4.0.1"
},
{
"status": "affected",
"version": "4.0.2"
},
{
"status": "affected",
"version": "4.0"
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{
"status": "affected",
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{
"status": "affected",
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{
"status": "affected",
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{
"status": "affected",
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{
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},
{
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{
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{
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{
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{
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"status": "affected",
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"source": "psirt@cisco.com"
}
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"lang": "en",
"value": "A vulnerability in a subset of REST APIs of Cisco Prime Infrastructure and Cisco Evolved Programmable Network Manager (EPNM) could allow an authenticated, low-privileged, remote attacker to conduct a blind SQL injection attack.\r\n\r\nThis vulnerability is due to insufficient validation of user-supplied input. An attacker could exploit this vulnerability by sending a crafted request to an affected API. A successful exploit could allow the attacker to view data in some database tables on an affected device."
},
{
"lang": "es",
"value": "Una vulnerabilidad en un subconjunto de las API REST de Cisco Prime Infrastructure y Cisco Evolved Programmable Network Manager (EPNM) podr\u00eda permitir que un atacante remoto autenticado y con pocos privilegios realice un ataque de inyecci\u00f3n SQL a ciegas. Esta vulnerabilidad se debe a una validaci\u00f3n insuficiente de la entrada proporcionada por el usuario. Un atacante podr\u00eda explotar esta vulnerabilidad enviando una solicitud manipulada a una API afectada. Una explotaci\u00f3n exitosa podr\u00eda permitir al atacante ver datos en algunas tablas de bases de datos en un dispositivo afectado."
}
],
"id": "CVE-2025-20272",
"lastModified": "2026-06-29T17:13:30.407",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 1.4,
"source": "psirt@cisco.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-20272",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-07-18T14:30:45.473947Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-07-16T17:15:28.613",
"references": [
{
"source": "psirt@cisco.com",
"tags": [
"Vendor Advisory"
],
"url": "https://sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-piepnm-bsi-25JJqsbb"
}
],
"sourceIdentifier": "psirt@cisco.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-89"
}
],
"source": "psirt@cisco.com",
"type": "Secondary"
}
]
}
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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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