CVE-2026-76426 (GCVE-0-2026-76426)
Vulnerability from cvelistv5 – Published: 2026-09-16 20:26 – Updated: 2026-09-17 13:41
VLAI
EPSS
VEX
Title
Cisco ISE REST API SQL Injection Vulnerability
Summary
A vulnerability in the REST API of Cisco ISE and Cisco ISE-PIC could allow an authenticated, remote attacker to conduct SQL injection attacks against the monitoring database.
This vulnerability is due to insufficient validation of specific parameters that are then concatenated into an SQL statement. An attacker could exploit this vulnerability by sending a crafted request that contains SQL statements in one of the affected parameters. A successful exploit could allow the attacker to read information from the monitoring database. To exploit this vulnerability, the attacker must have valid administrative credentials.
Severity
4.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-17 13:32 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Cisco | Cisco Identity Services Engine Software |
Affected:
3.1.0
Affected: 3.1.0 p1 Affected: 3.1.0 p3 Affected: 3.1.0 p2 Affected: 3.2.0 Affected: 3.1.0 p4 Affected: 3.1.0 p5 Affected: 3.2.0 p1 Affected: 3.1.0 p6 Affected: 3.2.0 p2 Affected: 3.1.0 p7 Affected: 3.3.0 Affected: 3.2.0 p3 Affected: 3.2.0 p4 Affected: 3.1.0 p8 Affected: 3.2.0 p5 Affected: 3.2.0 p6 Affected: 3.1.0 p9 Affected: 3.3 Patch 2 Affected: 3.3 Patch 1 Affected: 3.3 Patch 3 Affected: 3.4.0 Affected: 3.2.0 p7 Affected: 3.3 Patch 4 Affected: 3.4 Patch 1 Affected: 3.1.0 p10 Affected: 3.3 Patch 5 Affected: 3.3 Patch 6 Affected: 3.4 Patch 2 Affected: 3.3 Patch 7 Affected: 3.4 Patch 3 Affected: 3.5.0 Affected: 3.4 Patch 4 Affected: 3.3 Patch 8 Affected: 3.2 Patch 8 Affected: 3.5 Patch 1 Affected: 3.3 Patch 9 Affected: 3.2 Patch 9 Affected: 3.4 Patch 5 Affected: 3.5 Patch 3 Affected: 3.5 Patch 2 Affected: 3.3 Patch 10 Affected: 3.3 Patch 11 Affected: 3.4 Patch 6 Affected: 3.2 Patch 10 Affected: 3.1.0 p72 Affected: 3.1.0 p11 Affected: 3.3 Patch 12 |
guessed | |
| Cisco | Cisco ISE Passive Identity Connector |
Affected:
3.2.0
Affected: 3.1.0 Affected: 3.3.0 Affected: 3.4.0 Affected: 3.5.0 |
guessed |
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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.
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- 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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