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BugClosing CandidateMay be closeable, needs more eyeballsMay be closeable, needs more eyeballsIO CSVread_csv, to_csvread_csv, to_csvSegfaultNon-Recoverable ErrorNon-Recoverable Error
Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import io
import pandas as pd
pd.read_csv(io.StringIO("""h
4e492493924924"""))Issue Description
Running the example results in SIGSEGV.
Expected Behavior
Running the example should not cause SIGSEGV.
Installed Versions
INSTALLED VERSIONS
------------------
commit : 9c8bc3e55188c8aff37207a74f1dd144980b8874
python : 3.12.10
python-bits : 64
OS : Linux
OS-release : 6.8.0-87-generic
Version : #88-Ubuntu SMP PREEMPT_DYNAMIC Sat Oct 11 09:28:41 UTC 2025
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : C.UTF-8
LOCALE : C.UTF-8
pandas : 2.3.3
numpy : 2.3.4
pytz : 2025.2
dateutil : 2.9.0.post0
pip : 25.3
Cython : None
sphinx : None
IPython : 9.7.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : None
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.6
lxml.etree : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : 22.0.0
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.16.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2025.2
qtpy : None
pyqt5 : None
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Labels
BugClosing CandidateMay be closeable, needs more eyeballsMay be closeable, needs more eyeballsIO CSVread_csv, to_csvread_csv, to_csvSegfaultNon-Recoverable ErrorNon-Recoverable Error