CVE-2026-54245 (GCVE-0-2026-54245)
Vulnerability from cvelistv5 – Published: 2026-08-26 19:13 – Updated: 2026-08-27 13:49
VLAI
EPSS
VEX
Title
Fleet: SQL injection in Okta conditional access endpoint allows host-controlled compromise of the Fleet database
Summary
Fleet is an open-source device management platform built on osquery. In versions prior to 4.86.2, the Okta conditional access integration in Fleet Premium is vulnerable to SQL injection through a host-supplied value that is used in a database query without proper parameterization, allowing an attacker who controls a single enrolled host to read or modify arbitrary data in the Fleet database. The value is reported by the host's own agent and stored verbatim, then used on an unauthenticated request path that supports the conditional access integration, so any party controlling one enrolled host, the lowest-privilege position in the product, can influence the query. By disclosing arbitrary database contents an attacker can extract stored session tokens and replay them to act as a global administrator, and on a managed fleet that administrator access enables running scripts on enrolled hosts, leading to remote code execution. The issue requires Fleet Premium with the Okta conditional access integration enabled and does not affect instances where it is not configured. This issue is fixed in version 4.86.2.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-27 13:49 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/fleetdm/fleet/security/advisor… | x_refsource_CONFIRM |
| https://github.com/fleetdm/fleet/releases/tag/fle… | x_refsource_MISC |
Impacted products
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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.
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.
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