CVE-2026-49360 (GCVE-0-2026-49360)
Vulnerability from cvelistv5 – Published: 2026-08-21 22:54 – Updated: 2026-08-25 19:24
VLAI
EPSS
VEX
Title
Recce server has unauthenticated SQL execution that allows local file read/write through DuckDB
Summary
Recce is a data-validation toolkit for enhanced dbt (data build tool) PR review. Prior to version 1.50.0, OSS server deployments that expose the server to an untrusted network without authentication are vulnerable to unauthenticated SQL execution through the query run API. When Recce is configured with a DuckDB-backed project, an attacker can use DuckDB filesystem primitives to read and write files accessible to the Recce server process. The impact depends on how Recce is deployed, but may include disclosure of local files, tampering with Recce/dbt artifacts, modification of browser-served static files leading to stored XSS, and modification of application files if those paths are writable. If Recce is run as root, file access occurs with root privileges inside that host or container. This issue has been patched in Recce `v1.50.0`. Users should upgrade to Recce `v1.50.0` or later. The patch restricts unsafe file read/write behavior for DuckDB-backed query execution and hardens the affected query path. Other warehouse adapters have also been reviewed for similar exposure. Users who cannot upgrade immediately should avoid exposing `recce server` to the public internet or any untrusted network. Recommended mitigations include enabling authentication or placing Recce behind an authenticated reverse proxy/VPN, running Recce as a non-root user, using a read-only application filesystem where possible, and ensuring that sensitive files or credentials are not available to the Recce process.
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-25 18:34 UTC
CWE
- CWE-73 - External Control of File Name or Path
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/DataRecce/recce/security/advis… | x_refsource_CONFIRM |
| https://github.com/DataRecce/recce/releases/tag/v1.50.0 | x_refsource_MISC |
| https://github.com/pypa/advisory-database/tree/ma… | 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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