CVE-2026-94028 (GCVE-0-2026-94028)
Vulnerability from cvelistv5 – Published: 2026-09-20 13:00 – Updated: 2026-09-21 14:11 X_Open Source
VLAI
EPSS
VEX
Title
mealie-recipes Mealie Recipe Action Trigger controller_group_recipe_actions.py payload.model_dump server-side request forgery
Summary
A weakness has been identified in mealie-recipes Mealie up to 3.25.1. Affected is the function payload.model_dump of the file mealie/routes/households/controller_group_recipe_actions.py of the component Recipe Action Trigger. Executing a manipulation of the argument url can lead to server-side request forgery. The attack can be executed remotely. The exploit has been made available to the public and could be used for attacks. Upgrading to version 3.26.0 is able to address this issue. This patch is called fb221afa258c8dd2c4ac95b1996c33ef9db3f477. The affected component should be upgraded.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-21 14:10 UTC
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
References
9 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/407957 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/407957/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-94028 | third-party-advisory |
| https://vuldb.com/submit/945043 | third-party-advisory |
| https://github.com/mealie-recipes/mealie/issues/7831 | exploitissue-tracking |
| https://github.com/mealie-recipes/mealie/pull/7914 | issue-trackingpatch |
| https://github.com/mealie-recipes/mealie/commit/f… | patch |
| https://github.com/mealie-recipes/mealie/releases… | patch |
| https://github.com/mealie-recipes/mealie/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| mealie-recipes | Mealie |
Affected:
3.25.0
Affected: 3.25.1 Unaffected: 3.26.0 cpe:2.3:a:mealie:mealie:*:*:*:*:*:*:*:* |
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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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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.