diff --git a/dagshub/data_engine/model/datasource.py b/dagshub/data_engine/model/datasource.py
index c3bfd862..ab8a80e8 100644
--- a/dagshub/data_engine/model/datasource.py
+++ b/dagshub/data_engine/model/datasource.py
@@ -155,6 +155,21 @@ def to_dict(self, ds: "Datasource") -> Dict[str, Any]:
 _metadata_contexts: Dict[Union[int, str], "MetadataContextManager"] = {}
 
 
+def _reject_brotli_parquet(file_path: str) -> None:
+    # CVE-2026-111497 is an out-of-bounds write in the Brotli decoder.
+    # pyarrow wheels bundle that decoder. The Parquet footer is not Brotli,
+    # so this check reads the footer and does not decode column pages.
+    # Remove the check after a pyarrow wheel bundles Brotli 1.0.10, 1.1.1, or 1.2.1.
+    import pyarrow.parquet as pq
+
+    metadata = pq.ParquetFile(file_path).metadata
+    for row_group_index in range(metadata.num_row_groups):
+        row_group = metadata.row_group(row_group_index)
+        for column_index in range(row_group.num_columns):
+            if row_group.column(column_index).compression == "BROTLI":
+                raise ValueError("Parquet files that use Brotli compression are not supported")
+
+
 class Datasource:
     def __init__(
         self,
@@ -1630,6 +1645,7 @@ def _convert_file_to_df(file_path: str):
         if file_path.lower().endswith(".csv"):
             df = pandas.read_csv(file_path)
         elif file_path.lower().endswith(".parquet"):
+            _reject_brotli_parquet(file_path)
             df = pandas.read_parquet(file_path)
         elif file_path.lower().endswith(".zip"):
             df = pandas.read_csv(file_path, compression="zip")
diff --git a/tests/data_engine/test_brotli_parquet.py b/tests/data_engine/test_brotli_parquet.py
new file mode 100644
index 00000000..baa30b58
--- /dev/null
+++ b/tests/data_engine/test_brotli_parquet.py
@@ -0,0 +1,28 @@
+import pyarrow as pa
+import pyarrow.parquet as pq
+import pytest
+
+from dagshub.data_engine.model.datasource import Datasource, _reject_brotli_parquet
+
+
+def _write_parquet(path, compression):
+    table = pa.table({"path": ["a.txt"], "value": [1]})
+    pq.write_table(table, path, compression=compression)
+
+
+def test_reject_brotli_parquet(tmp_path):
+    path = tmp_path / "meta.parquet"
+    _write_parquet(path, "brotli")
+
+    with pytest.raises(ValueError, match="Brotli"):
+        _reject_brotli_parquet(str(path))
+
+
+def test_snappy_parquet_is_allowed(tmp_path):
+    path = tmp_path / "meta.parquet"
+    _write_parquet(path, "snappy")
+
+    _reject_brotli_parquet(str(path))
+    frame = Datasource._convert_file_to_df(str(path))
+
+    assert frame["path"].tolist() == ["a.txt"]