{"schema_version":1,"title":"pyarrow (PyPI) vulnerabilities","summary":"Junglewise Threat Intelligence has tracked 5 vulnerabilities in pyarrow (PyPI): 0 in the last 7 days and 0 in the last 90 days, 0 of them critical and 0 exploited in the wild. The most recent, CVE-2026-25087, was published on 17 February 2026.","url":"https://junglewise.ai/threats/technologies/pyarrow","json_url":"https://junglewise.ai/threats/technologies/pyarrow.json","publisher":"Junglewise Threat Intelligence","license":"CC-BY-4.0","license_url":"https://creativecommons.org/licenses/by/4.0/","attribution":"Junglewise Threat Intelligence, https://junglewise.ai/threats/technologies/pyarrow","sources":"NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories","kind":"technology","counts":{"high":1,"all_time":5,"critical":0,"exploited":0,"last_7_days":0,"last_30_days":0,"last_90_days":0,"last_365_days":1},"latest":[{"cve":"CVE-2026-25087","cvss":7,"epss":0.0082,"slug":"cve-2026-25087-apache-arrow-c-use-after-free-in-ipc-file-reader","title":"Apache Arrow C++ use-after-free in IPC file reader","severity":"high","exploited":false,"published_at":"2026-02-17T15:31:35+00:00","url":"https://junglewise.ai/threats/cve-2026-25087-apache-arrow-c-use-after-free-in-ipc-file-reader"},{"cve":"CVE-2024-52338","epss":0.0231,"slug":"cve-2024-52338-pysec-2024-161-deserialization-of-untrusted-data-in-ipc-and","title":"PYSEC-2024-161 - Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary co","severity":"info","exploited":false,"published_at":"2024-11-28T17:15:48+00:00","url":"https://junglewise.ai/threats/cve-2024-52338-pysec-2024-161-deserialization-of-untrusted-data-in-ipc-and"},{"cve":"CVE-2023-47248","cvss":3.1,"epss":0.1453,"slug":"cve-2023-47248-pyarrow-arbitrary-code-execution-when-loading-a-malicious-data","title":"PYSEC-2023-238 - Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code execution. An applic","severity":"low","exploited":false,"published_at":"2023-11-17T17:41:59+00:00","url":"https://junglewise.ai/threats/cve-2023-47248-pyarrow-arbitrary-code-execution-when-loading-a-malicious-data"},{"cve":"CVE-2019-12410","cvss":3.1,"epss":0.0461,"slug":"cve-2019-12410-missing-initialization-of-resource-in-apache-arrow","title":"PYSEC-2019-196 - While investigating UBSAN errors in https://github.com/apache/arrow/pull/5365 it was discovered Apache Arrow versions 0.12.0 to 0.14.1, left","severity":"low","exploited":false,"published_at":"2019-11-08T19:15:00+00:00","url":"https://junglewise.ai/threats/cve-2019-12410-missing-initialization-of-resource-in-apache-arrow"},{"cve":"CVE-2019-12408","cvss":3.1,"epss":0.0325,"slug":"cve-2019-12408-missing-initialization-of-resource-in-apache-arrow","title":"PYSEC-2019-195 - It was discovered that the C++ implementation (which underlies the R, Python and Ruby implementations) of Apache Arrow 0.14.0 to 0.14.1 had","severity":"low","exploited":false,"published_at":"2019-11-08T19:15:00+00:00","url":"https://junglewise.ai/threats/cve-2019-12408-missing-initialization-of-resource-in-apache-arrow"}],"weekly":[{"week":"2026-07-06","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-07-13","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-07-20","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-07-27","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-08-03","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-08-10","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-08-17","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-08-24","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-08-31","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-09-07","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-09-14","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-09-21","critical":0,"exploited":0,"vulnerabilities":0},{"week":"2026-09-28","critical":0,"exploited":0,"vulnerabilities":0}],"related":[{"name":"tensorflow (PyPI)","slug":"pypi-tensorflow","vulnerabilities":428,"url":"https://junglewise.ai/threats/technologies/pypi-tensorflow"},{"name":"tensorflow-cpu (PyPI)","slug":"tensorflow-cpu","vulnerabilities":424,"url":"https://junglewise.ai/threats/technologies/tensorflow-cpu"},{"name":"tensorflow-gpu (PyPI)","slug":"tensorflow-gpu","vulnerabilities":421,"url":"https://junglewise.ai/threats/technologies/tensorflow-gpu"},{"name":"open-webui (PyPI)","slug":"open-webui","vulnerabilities":177,"url":"https://junglewise.ai/threats/technologies/open-webui"},{"name":"Django (PyPI)","slug":"django","vulnerabilities":172,"url":"https://junglewise.ai/threats/technologies/django"},{"name":"apache-airflow (PyPI)","slug":"apache-airflow","vulnerabilities":152,"url":"https://junglewise.ai/threats/technologies/apache-airflow"},{"name":"plone (PyPI)","slug":"pypi-plone","vulnerabilities":101,"url":"https://junglewise.ai/threats/technologies/pypi-plone"},{"name":"praisonai (PyPI)","slug":"pypi-praisonai","vulnerabilities":86,"url":"https://junglewise.ai/threats/technologies/pypi-praisonai"},{"name":"exiv2 (PyPI)","slug":"exiv2","vulnerabilities":85,"url":"https://junglewise.ai/threats/technologies/exiv2"},{"name":"nltk (PyPI)","slug":"nltk","vulnerabilities":83,"url":"https://junglewise.ai/threats/technologies/nltk"},{"name":"mlflow (PyPI)","slug":"mlflow","vulnerabilities":82,"url":"https://junglewise.ai/threats/technologies/mlflow"},{"name":"pillow (PyPI)","slug":"pillow","vulnerabilities":79,"url":"https://junglewise.ai/threats/technologies/pillow"}],"technology":{"hub":true,"name":"pyarrow (PyPI)","slug":"pyarrow","vendor":{"name":"PyPI","slug":"pypi","url":"https://junglewise.ai/threats/vendors/pypi"},"aliases":[],"homepage":"https://arrow.apache.org/docs/python/index.html","repo_url":"https://github.com/apache/arrow","description":"A Python library for Apache Arrow that provides a cross-language development platform for in-memory data.","url":"https://junglewise.ai/threats/technologies/pyarrow"},"most_severe":[{"cve":"CVE-2026-25087","cvss":7,"epss":0.0082,"slug":"cve-2026-25087-apache-arrow-c-use-after-free-in-ipc-file-reader","title":"Apache Arrow C++ use-after-free in IPC file reader","severity":"high","exploited":false,"published_at":"2026-02-17T15:31:35+00:00","url":"https://junglewise.ai/threats/cve-2026-25087-apache-arrow-c-use-after-free-in-ipc-file-reader"},{"cve":"CVE-2023-47248","cvss":3.1,"epss":0.1453,"slug":"cve-2023-47248-pyarrow-arbitrary-code-execution-when-loading-a-malicious-data","title":"PYSEC-2023-238 - Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code execution. An applic","severity":"low","exploited":false,"published_at":"2023-11-17T17:41:59+00:00","url":"https://junglewise.ai/threats/cve-2023-47248-pyarrow-arbitrary-code-execution-when-loading-a-malicious-data"},{"cve":"CVE-2019-12410","cvss":3.1,"epss":0.0461,"slug":"cve-2019-12410-missing-initialization-of-resource-in-apache-arrow","title":"PYSEC-2019-196 - While investigating UBSAN errors in https://github.com/apache/arrow/pull/5365 it was discovered Apache Arrow versions 0.12.0 to 0.14.1, left","severity":"low","exploited":false,"published_at":"2019-11-08T19:15:00+00:00","url":"https://junglewise.ai/threats/cve-2019-12410-missing-initialization-of-resource-in-apache-arrow"},{"cve":"CVE-2019-12408","cvss":3.1,"epss":0.0325,"slug":"cve-2019-12408-missing-initialization-of-resource-in-apache-arrow","title":"PYSEC-2019-195 - It was discovered that the C++ implementation (which underlies the R, Python and Ruby implementations) of Apache Arrow 0.14.0 to 0.14.1 had","severity":"low","exploited":false,"published_at":"2019-11-08T19:15:00+00:00","url":"https://junglewise.ai/threats/cve-2019-12408-missing-initialization-of-resource-in-apache-arrow"},{"cve":"CVE-2024-52338","epss":0.0231,"slug":"cve-2024-52338-pysec-2024-161-deserialization-of-untrusted-data-in-ipc-and","title":"PYSEC-2024-161 - Deserialization of untrusted data in IPC and Parquet readers in the Apache Arrow R package versions 4.0.0 through 16.1.0 allows arbitrary co","severity":"info","exploited":false,"published_at":"2024-11-28T17:15:48+00:00","url":"https://junglewise.ai/threats/cve-2024-52338-pysec-2024-161-deserialization-of-untrusted-data-in-ipc-and"}],"generated_at":"2026-09-28T03:07:00.154823+00:00"}