diff --git a/cpp/src/io/comp/uncomp.cpp b/cpp/src/io/comp/uncomp.cpp
index d5166b76892..44581bbc184 100644
--- a/cpp/src/io/comp/uncomp.cpp
+++ b/cpp/src/io/comp/uncomp.cpp
@@ -193,16 +193,18 @@ bool OpenZipArchive(zip_archive_s *dst, const uint8_t *raw, size_t len)
   memset(dst, 0, sizeof(zip_archive_s));
   // Find the end of central directory
   if (len >= sizeof(zip_eocd_s) + 2) {
-    for (size_t i = len - sizeof(zip_eocd_s) - 2; i + sizeof(zip_eocd_s) + 2 + 0xffff >= len; i--) {
+    for (ptrdiff_t i = len - sizeof(zip_eocd_s) - 2;
+         i + sizeof(zip_eocd_s) + 2 + 0xffff >= len && i >= 0;
+         i--) {
       const zip_eocd_s *eocd = reinterpret_cast<zip_eocd_s const *>(raw + i);
       if (eocd->sig == 0x06054b50 &&
           eocd->disk_id == eocd->start_disk  // multi-file archives not supported
           && eocd->num_entries == eocd->total_entries &&
           eocd->cdir_size >= sizeof(zip_cdfh_s) * eocd->num_entries && eocd->cdir_offset < len &&
-          i + *reinterpret_cast<const uint16_t *>(eocd + 1) <= len) {
+          i + *reinterpret_cast<const uint16_t *>(eocd + 1) <= static_cast<ptrdiff_t>(len)) {
         const zip_cdfh_s *cdfh = reinterpret_cast<const zip_cdfh_s *>(raw + eocd->cdir_offset);
         dst->eocd              = eocd;
-        if (i >= sizeof(zip64_eocdl)) {
+        if (i >= static_cast<ptrdiff_t>(sizeof(zip64_eocdl))) {
           const zip64_eocdl *eocdl =
             reinterpret_cast<const zip64_eocdl *>(raw + i - sizeof(zip64_eocdl));
           if (eocdl->sig == 0x07064b50) { dst->eocdl = eocdl; }
diff --git a/python/cudf/cudf/tests/test_csv.py b/python/cudf/cudf/tests/test_csv.py
index 2bea6cc46bd..925369048cb 100644
--- a/python/cudf/cudf/tests/test_csv.py
+++ b/python/cudf/cudf/tests/test_csv.py
@@ -979,6 +979,22 @@ def test_csv_reader_filepath_or_buffer(tmpdir, path_or_buf, src):
     assert_eq(expect, got)
 
 
+def test_small_zip(tmpdir):
+    df = pd.DataFrame(
+        {
+            "a": [1997] * 2,
+            "b": ["Ford"] * 2,
+            "c": ["Super, luxurious truck"] * 2,
+        }
+    )
+
+    fname = tmpdir.join("small_zip_file.zip")
+    df.to_csv(fname, index=False)
+
+    got = cudf.read_csv(fname)
+    assert_eq(df, got)
+
+
 def test_csv_reader_carriage_return(tmpdir):
     rows = 1000
     names = ["int_row", "int_double_row"]