Severity by source
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Pre-authorization dill.loads() over a network gRPC request gives AV:N/AC:L/PR:N/UI:N, and arbitrary code execution as the service account yields full C:H/I:H/A:H.
Primary rating from Vendor (VulnCheck).
CVSS VectorVendor: VulnCheck
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
2DescriptionCVE.org
Feast before 0.63.0 contains an unsafe deserialization vulnerability that allows unauthenticated or unauthorized attackers to achieve remote code execution by sending a crafted gRPC request to the registry server. The user_defined_function.body field of an OnDemandFeatureView spec is decoded from base64 and passed to dill.loads() before any authorization check is performed, enabling attackers to embed a malicious serialized Python object with an arbitrary __reduce__ method to execute OS commands as the feast service account.
Articles & Coverage 3
AnalysisAI
Remote code execution in Feast (the open-source ML feature store) before 0.63.0 lets remote attackers run OS commands as the feast service account by sending a crafted ApplyFeatureView gRPC request to the registry server. The registry base64-decodes the user_defined_function.body field of an OnDemandFeatureView and passes it to dill.loads() before any authorization check, so no credentials are required. A publicly available exploit code exists (reported by VulnCheck via huntr) and a vendor patch is available, though the flaw is not listed in CISA KEV.
Technical ContextAI
Feast is a feature store used in machine-learning pipelines to define, store and serve features; its registry server exposes a gRPC API for registering feature definitions. OnDemandFeatureViews support user-defined transformation functions whose Python body is serialized with dill (an extended pickle library) and shipped as a base64 blob in the user_defined_function.body field. The flaw is a classic CWE-502 unsafe deserialization: dill.loads()/pickle reconstructs arbitrary objects by invoking their __reduce__ method, which an attacker can craft to execute arbitrary code during deserialization. Because the decode-and-load happens in the ApplyFeatureView path before authorization is enforced, the dangerous sink is reachable by any client able to talk to the registry. The single affected component is identified by CPE cpe:2.3:a:feast-dev:feast.
RemediationAI
Vendor-released patch: upgrade to Feast 0.63.0 or later (https://github.com/feast-dev/feast/releases/tag/v0.63.0), which contains fix commit 835cda8e2c1359f1f496ad72701dbd6a73bdb25a. Until you can upgrade, restrict network reachability of the registry gRPC server so only trusted clients can reach it - place it behind firewall rules/network ACLs or a service mesh and require authenticated mutual-TLS, accepting that this breaks any unauthenticated registration workflows you currently depend on. Do not expose the registry server to untrusted networks or the internet, and run the feast process under a least-privileged account so a successful deserialization grants minimal OS reach. These are compensating controls only: the dill.loads() sink remains reachable for any client able to hit the endpoint until the upgrade is applied. See the VulnCheck advisory (https://www.vulncheck.com/advisories/feast-unauthenticated-rce-via-applyfeatureview-grpc-deserialization) for confirmation of affected paths.
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Same weakness CWE-502 – Deserialization of Untrusted Data
View allSame technique Deserialization
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External POC / Exploit Code
Leaving vuln.today
EUVD-2026-38801
GHSA-q63x-9pfm-mjx4