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GHSA-mw35-8rx3-xf9r
No affected components available
Ray Data registers custom Arrow extension types (ray.data.arrow_tensor, ray.data.arrow_tensor_v2, ray.data.arrow_variable_shaped_tensor) globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension types, it calls __arrow_ext_deserialize__ on the field's metadata bytes. Ray's implementation passes these bytes directly to cloudpickle.loads(), achieving arbitrary code execution during schema parsing, before any row data is read.
In May 2024, Ray fixed a related vulnerability in PyExtensionType-based extension types (issue #41314, PR #45084). In July 2025, PR #54831 introduced cloudpickle.loads() into the replacement extension types' deserialization path, reintroducing the same class of vulnerability.
Impact
- Affected versions: Ray 2.49.0 through 2.54.0 (latest release as of March 2026). The vulnerable
_deserialize_with_fallbackfunction withcloudpickle.loads()was introduced in commitf6d21db1a4(PR #54831, July 2025), first released in Ray 2.49.0. - Affected configurations: Any process that uses Ray Data and reads Parquet files. The extension types are registered globally in PyArrow, so all Parquet reads in the process are affected, including
ray.data.read_parquet(),pyarrow.parquet.read_table(),pandas.read_parquet(), etc. - Attacker prerequisites: The attacker must place a crafted Parquet file where a Ray Data pipeline reads it. No authentication or cluster access is required. The Parquet file must contain a column with a
ray.data.arrow_tensor(or v2, or variable-shaped) extension type name, which makes this a targeted attack against Ray Data users.
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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