CVE-2026-17191 (GCVE-0-2026-17191)
Vulnerability from cvelistv5 – Published: 2026-07-27 16:41 – Updated: 2026-07-27 17:29
VLAI
EPSS
VEX
Title
VeloCloud Orchestrator Flow Metrics API SQL Injection
Summary
An input validation vulnerability exists in an API component of the orchestrator. An authenticated user can exploit this flaw to manipulate backend queries, which may result in unauthorized access to data beyond their intended privileges and cause the underlying system to initiate unintended outbound network connections.
This issue was discovered internally by Arista and the company is not aware of any malicious uses of this issue in customer networks.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-27 17:29 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.arista.com/en/support/advisories-noti… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Arista Networks | VeloCloud Orchestrator On-Prem |
Affected:
5.2.0 , < 5.2.3.14
(custom)
Affected: 6.1.0 , < 6.1.3.4 (custom) Affected: 6.4.0 , < 6.4.2.4 (custom) |
guessed |
Date Public
2026-07-27 16:37
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"value": "Until the fixed software is deployed, operators should apply defense-in-depth controls appropriate for their environment:\n\n\n\n * Restrict access to the VCO web interface to trusted administrative networks.\n\n * Monitor the VCO for accesses from known malicious source IPs.\n\n * Monitor for unexpected outbound network activity from the VCO host.\n\n * Review recent administrator activity for unexpected changes."
}
],
"x_generator": {
"engine": "Vulnogram 1.0.4"
}
}
},
"cveMetadata": {
"assignerOrgId": "c8b34d1a-69ae-45c3-88fe-f3b3d44f39b7",
"assignerShortName": "Arista",
"cveId": "CVE-2026-17191",
"datePublished": "2026-07-27T16:41:17.436Z",
"dateReserved": "2026-07-24T19:03:13.728Z",
"dateUpdated": "2026-07-27T17:29:45.538Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.