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Oracle Critical Patch Update July 2024

Released July 2024 · Oracle's advisory ↗ · ← Critical Patch Update, April 2024 · Critical Patch Update, October 2024 →

231 CVEs in this release, one square each

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Share this chart Oracle Critical Patch Update July 2024, one square per CVE: 116 Java CVEs, 16 protected by Waratek, 9 exploited, 115 other CVEs in this release.

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No exploit published. For 35 of them, Oracle's security advisory is the source of public detail.

Protected by Waratek. Waratek RASP can block exploitation of these on systems that have not applied the patch yet.

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Including CVEs outside Waratek scope✕
Overview 1 match · 0 in Waratek scope · 0 protected · 0 CISA KEV · 0 EPSS ≥ 0.5
1match 0in Waratek scope0.0% 0protected0.0% 0CISA KEV0.0% 0EPSS ≥ 0.50.0%
Protected by Waratek 0 0.0% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 0 0.0% Outside Waratek scope 0 0.0% Not applicable 1 100.0% Withdrawn CVE 0 0.0%
Critical 1 100.0% High 0 0.0% Medium 0 0.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 0 0.0% partly blocked 0 0.0% not blocked 1 100.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 1 100.0% Working exploit published 0 0.0% Proof of concept only 0 0.0% Forecast only 0 0.0% No public exploit 0 0.0%
split by peak 1 / month
Not applicable: 1 Critical: 1 not blocked: 1 Exploited: 1
Nov 23
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CVE Severity Published▾ Status Exploitation Description
CVE-2023-47248 Critical 2023-11-09 Not applicable Exploited Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or Parquet data from untrusted sources (for example user-supplied input files). This vulnerability only affects PyArrow, not other Apache Arrow implementations or bindings. It is recommended that users of PyArrow upgrade to 14.0.1. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to PyArrow 14.0.1 or later. PyPI packages are already available, and we hope that conda-forge packages will be available soon. If it is not possible to upgrade, we provide a separate package `pyarrow-hotfix` that disables the vulnerability on older PyArrow versions. See https://pypi.org/project/pyarrow-hotfix/ for instructions.