diff --git a/.github/workflows/build_and_test.yml b/.github/workflows/build_and_test.yml
index 0bf7e57c364e4..6fdb8432472f9 100644
--- a/.github/workflows/build_and_test.yml
+++ b/.github/workflows/build_and_test.yml
@@ -723,7 +723,7 @@ jobs:
         # See 'ipython_genutils' in SPARK-38517
         # See 'docutils<0.18.0' in SPARK-39421
         python3.9 -m pip install 'sphinx==4.5.0' mkdocs 'pydata_sphinx_theme>=0.13' sphinx-copybutton nbsphinx numpydoc jinja2 markupsafe 'pyzmq<24.0.0' \
-          ipython ipython_genutils sphinx_plotly_directive 'numpy>=1.20.0' pyarrow pandas 'plotly>=4.8' 'docutils<0.18.0' \
+          ipython ipython_genutils sphinx_plotly_directive 'numpy==1.26.4' pyarrow pandas 'plotly>=4.8' 'docutils<0.18.0' \
           'flake8==3.9.0' 'mypy==1.8.0' 'pytest==7.1.3' 'pytest-mypy-plugins==1.9.3' 'black==23.9.1' \
           'pandas-stubs==1.2.0.53' 'grpcio==1.62.0' 'grpc-stubs==1.24.11' 'googleapis-common-protos-stubs==2.2.0' \
           'sphinxcontrib-applehelp==1.0.4' 'sphinxcontrib-devhelp==1.0.2' 'sphinxcontrib-htmlhelp==2.0.1' 'sphinxcontrib-qthelp==1.0.3' 'sphinxcontrib-serializinghtml==1.1.5'
diff --git a/dev/infra/Dockerfile b/dev/infra/Dockerfile
index b01e3c50e28d3..ce47362999284 100644
--- a/dev/infra/Dockerfile
+++ b/dev/infra/Dockerfile
@@ -24,7 +24,7 @@ LABEL org.opencontainers.image.ref.name="Apache Spark Infra Image"
 # Overwrite this label to avoid exposing the underlying Ubuntu OS version label
 LABEL org.opencontainers.image.version=""
 
-ENV FULL_REFRESH_DATE 20240318
+ENV FULL_REFRESH_DATE 20240903
 
 ENV DEBIAN_FRONTEND noninteractive
 ENV DEBCONF_NONINTERACTIVE_SEEN true
@@ -91,10 +91,10 @@ RUN mkdir -p /usr/local/pypy/pypy3.9 && \
     ln -sf /usr/local/pypy/pypy3.9/bin/pypy /usr/local/bin/pypy3.8 && \
     ln -sf /usr/local/pypy/pypy3.9/bin/pypy /usr/local/bin/pypy3
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | pypy3
-RUN pypy3 -m pip install numpy 'six==1.16.0' 'pandas==2.2.2' scipy coverage matplotlib lxml
+RUN pypy3 -m pip install 'numpy==1.26.4' 'six==1.16.0' 'pandas==2.2.2' scipy coverage matplotlib lxml
 
 
-ARG BASIC_PIP_PKGS="numpy pyarrow>=15.0.0 six==1.16.0 pandas==2.2.2 scipy plotly>=4.8 mlflow>=2.8.1 coverage matplotlib openpyxl memory-profiler>=0.61.0 scikit-learn>=1.3.2"
+ARG BASIC_PIP_PKGS="numpy==1.26.4 pyarrow>=15.0.0 six==1.16.0 pandas==2.2.2 scipy plotly>=4.8 mlflow>=2.8.1 coverage matplotlib openpyxl memory-profiler>=0.61.0 scikit-learn>=1.3.2"
 # Python deps for Spark Connect
 ARG CONNECT_PIP_PKGS="grpcio==1.62.0 grpcio-status==1.62.0 protobuf==4.25.1 googleapis-common-protos==1.56.4 graphviz==0.20.3"