CVE-2026-15415 (GCVE-0-2026-15415)
Vulnerability from cvelistv5 – Published: 2026-07-17 19:36 – Updated: 2026-08-11 18:29
VLAI
EPSS
VEX
Title
Path traversal and arbitrary file write in the workflow linters of aws-healthomics-mcp-server
Summary
AWS HealthOmics is a HIPAA-eligible service that fully manages the compute, storage, and workflow engine infrastructure required to run bioinformatics analyses at scale for clinical diagnostics, drug discovery, and agricultural research.
Improper limitation of a pathname to a restricted directory in the linting tools of the AWS HealthOmics MCP Server (aws-healthomics-mcp-server) before version 0.0.36 might allow an actor who can influence the MCP agent to write an actor-controlled content to arbitrary locations outside the intended workflow bundle directory, via directory traversal sequences in the workflow_files input.
To remediate this issue, users should upgrade to version 0.0.36 or later.
Severity
5.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-20 15:05 UTC
CWE
- CWE-23 - Relative path traversal
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://pypi.org/project/awslabs.aws-healthomics-… | release-notespatch |
| https://aws.amazon.com/security/security-bulletin… | vendor-advisory |
| https://github.com/awslabs/mcp/security/advisorie… | release-notes |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| AWS | aws-healthomics-mcp-server |
Affected:
0 , < 0.0.36
(custom)
cpe:2.3:a:aws:aws-healthomics-mcp-server:*:*:*:*:*:*:*:* |
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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
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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