CVE-2026-92359 (GCVE-0-2026-92359)
Vulnerability from cvelistv5 – Published: 2026-09-16 12:00 – Updated: 2026-09-16 13:15 X_Open Source
VLAI
EPSS
VEX
Title
ag-ui-protocol ag-ui CORSMiddleware utils.py create_strands_app cross-domain policy
Summary
A security flaw has been discovered in ag-ui-protocol ag-ui 0.3.0. The affected element is the function create_strands_app of the file integrations/aws-strands/python/src/ag_ui_strands/utils.py of the component CORSMiddleware. The manipulation results in permissive cross-domain policy with untrusted domains. The attack may be launched remotely. The attack requires a high level of complexity. The exploitability is described as difficult. Upgrading to version AGUI.Abstractions@0.0.6 is sufficient to fix this issue. The patch is identified as 9b143b9668fa52c2054ede9d34a45ac4b4401089. It is suggested to upgrade the affected component.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-16 13:15 UTC
CWE
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/405445 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/405445/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-92359 | third-party-advisory |
| https://vuldb.com/submit/934120 | third-party-advisory |
| https://github.com/ag-ui-protocol/ag-ui/issues/2433 | issue-tracking |
| https://github.com/ag-ui-protocol/ag-ui/pull/2492 | issue-trackingpatch |
| https://github.com/ag-ui-protocol/ag-ui/commit/9b… | patch |
| https://github.com/ag-ui-protocol/ag-ui/releases/… | patch |
| https://github.com/ag-ui-protocol/ag-ui/ | product |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| ag-ui-protocol | ag-ui |
Affected:
0.3.0
Unaffected: AGUI.Abstractions@0.0.6 cpe:2.3:a:ag-ui-protocol:ag-ui:*:*:*:*:*:*:*:* |
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"dataVersion": "5.2"
}
}
}
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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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