CVE-2021-1560 (GCVE-0-2021-1560)
Vulnerability from cvelistv5 – Published: 2021-05-22 06:40 – Updated: 2024-11-08 21:19
VLAI
EPSS
VEX
Title
Cisco DNA Spaces Connector Command Injection Vulnerabilities
Summary
Multiple vulnerabilities in Cisco DNA Spaces Connector could allow an authenticated, remote attacker to perform a command injection attack on an affected device. These vulnerabilities are due to insufficient input sanitization when executing affected commands. A high-privileged attacker could exploit these vulnerabilities on a Cisco DNA Spaces Connector by injecting crafted input during command execution. A successful exploit could allow the attacker to execute arbitrary commands as root within the Connector docker container.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-11-08 20:16 UTC
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://tools.cisco.com/security/center/content/C… | vendor-advisoryx_refsource_CISCO |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Cisco | Cisco DNA Spaces Connector |
Affected:
n/a
|
guessed |
Date Public
2021-05-19 00:00
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"cvss": {
"baseScore": "6.5",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:N",
"version": "3.0"
}
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "CWE-78"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "20210519 Cisco DNA Spaces Connector Command Injection Vulnerabilities",
"refsource": "CISCO",
"url": "https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-dnasp-conn-cmdinj-HOj4YV5n"
}
]
},
"source": {
"advisory": "cisco-sa-dnasp-conn-cmdinj-HOj4YV5n",
"defect": [
[
"CSCvx27097",
"CSCvx27099"
]
],
"discovery": "INTERNAL"
}
}
}
},
"cveMetadata": {
"assignerOrgId": "d1c1063e-7a18-46af-9102-31f8928bc633",
"assignerShortName": "cisco",
"cveId": "CVE-2021-1560",
"datePublished": "2021-05-22T06:40:52.362Z",
"dateReserved": "2020-11-13T00:00:00.000Z",
"dateUpdated": "2024-11-08T21:19:17.926Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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