CVE-2026-108861 (GCVE-0-2026-108861)
Vulnerability from cvelistv5 – Published: 2026-10-11 13:26 – Updated: 2026-10-11 13:26
VLAI
EPSS
VEX
Title
Odoo MCP 1.0.0 through 1.3.2 Information Disclosure via execute_method Tool
Summary
Odoo MCP 1.0.0 through 1.3.2 contains an information disclosure vulnerability that allows MCP clients to bypass the field-level ACL by invoking the execute_method tool. Attackers or prompt-injected agents can call read or search_read through execute_method naming denied fields to receive their values unredacted.
Severity
4.3 (Medium)
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://hackmd.io/@1ExmmukzRMWN7B4gQ4W-4Q/erpipe-… | third-party-advisory |
| https://github.com/erpipe-org/mcp-odoo/blob/v1.3.… | technical-description |
| https://github.com/erpipe-org/mcp-odoo | product |
| https://www.vulncheck.com/advisories/odoo-mcp-1.0… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| erpipe-org | Odoo MCP |
Affected:
1.0.0 , ≤ 1.3.2
(semver)
|
Date Public
2026-10-11 00:00
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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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