CVE-2026-106032 (GCVE-0-2026-106032)
Vulnerability from cvelistv5 – Published: 2026-10-06 20:34 – Updated: 2026-10-07 15:18
VLAI
EPSS
VEX
Title
Server-side request forgery and local file read via unrestricted external OpenAPI reference resolution in Bedrock AgentCore Starter Toolkit agent import
Summary
Server-side request forgery in the OpenAPI schema processing of the agent import functionality in Amazon Bedrock AgentCore Starter Toolkit before 0.3.14 might allow an authenticated remote actor in the same AWS account to cause the environment of a user importing a Bedrock Agent to issue arbitrary outbound requests and read arbitrary local files, via crafted external reference values in the OpenAPI content associated with a Bedrock Agent action group.
To remediate this issue, users should upgrade to version 0.3.14. Note that bedrock-agentcore-starter-toolkit is deprecated. The @aws/agentcore npm CLI is the supported replacement and does not contain this issue. Migration to @aws/agentcore is the recommended long-term path.
Severity
5.7 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-07 15:18 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF),CWE-73: External Control of File Name or Path
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://pypi.org/project/bedrock-agentcore-starte… | patchrelease-notes |
| https://staging.prod.website.marketing.aws.dev/se… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| aws | bedrock-agentcore-starter-toolkit |
Affected:
0.1.4 , ≤ 0.3.13
(custom)
cpe:2.3:a:aws:bedrock-agentcore-starter-toolkit:*:*:*:*:*:*:*:* |
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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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