diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 690f372..323d74b 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -38,7 +38,7 @@ repos:
             --min-py-version,
             "3.8",
             --max-py-version,
-            "3.11",
+            "3.12",
           ]
 
   - repo: https://github.com/asottile/pyupgrade
@@ -60,10 +60,14 @@ repos:
       - id: black
         stages: [pre-commit]
 
+  - repo: https://github.com/woodruffw/zizmor-pre-commit
+    rev: v0.9.2
+    hooks:
+      - id: zizmor
+
   - repo: https://github.com/pre-commit/mirrors-mypy
     rev: v1.13.0
     hooks:
       - id: mypy
-        additional_dependencies: [types-all]
         pass_filenames: false
         args: [--config-file=pyproject.toml, --ignore-missing-imports, src]
diff --git a/src/tad_dftd3/data/radii.py b/src/tad_dftd3/data/radii.py
index 0766e07..ac729c3 100644
--- a/src/tad_dftd3/data/radii.py
+++ b/src/tad_dftd3/data/radii.py
@@ -29,7 +29,7 @@
 from tad_mctc._version import __tversion__
 from tad_mctc.data.radii import COV_D3
 
-from ..typing import Tensor
+from ..typing import Any, Tensor
 
 __all__ = ["COV_D3", "VDW_D3"]
 
@@ -52,7 +52,7 @@ def _load_vdw_rad_d3(
     Tensor
         VDW radii.
     """
-    kwargs: dict = {"map_location": device}
+    kwargs: dict[str, Any] = {"map_location": device}
     if __tversion__ > (1, 12, 1):  # pragma: no cover
         kwargs["weights_only"] = True
 
diff --git a/src/tad_dftd3/reference.py b/src/tad_dftd3/reference.py
index 56bcc3c..bf1fb2d 100644
--- a/src/tad_dftd3/reference.py
+++ b/src/tad_dftd3/reference.py
@@ -20,7 +20,7 @@
 C6 dispersion coefficients.
 """
 import os.path as op
-from typing import Optional
+from typing import Optional, Union
 
 import torch
 from tad_mctc._version import __tversion__
@@ -48,6 +48,7 @@ def _load_cn(
     Tensor
         Reference coordination numbers.
     """
+    # fmt: off
     return torch.tensor(
         [
             [-1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000, -1.0000],  # None
@@ -158,6 +159,7 @@ def _load_cn(
         device=device,
         dtype=dtype,
     )
+    # fmt: on
 
 
 def _load_c6(
@@ -178,7 +180,7 @@ def _load_c6(
     Tensor
         Reference C6 coefficients.
     """
-    kwargs: dict = {"map_location": device}
+    kwargs: dict[str, Any] = {"map_location": device}
     if __tversion__ > (1, 12, 1):  # pragma: no cover
         kwargs["weights_only"] = True