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Including CVEs outside Waratek scope✕Product arrow✕
Overview 2 matches · 0 in Waratek scope · 0 protected · 1 CISA KEV · 1 EPSS ≥ 0.5
2matches 0in Waratek scope0.0% 0protected0.0% 1CISA KEV50.0% 1EPSS ≥ 0.550.0%
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0 0.0% Mitigation candidate 0 0.0% No exploit published 0 0.0% Outside Waratek scope 1 50.0% Not applicable 1 50.0% Withdrawn CVE 0 0.0%
Critical 2 100.0% 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 2 100.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 2 100.0% 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 / quarter
Q4 23Q2 24Q4 24Q2 25Q4 25Q2 26Q4 26
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CVE Severity Published▾ Status Exploitation Description
CVE-2026-111497 Critical 2026-10-22 Outside Waratek scope Exploited A buffer overflow vulnerability in the Brotli decoder (c/dec/decode.c) in Google Brotli versions 1.0.3 through 1.2.0 on all platforms allows a remote unauthenticated attacker to corrupt adjacent decoder state memory, disclose sensitive memory contents, cause a denial of service, or potentially execute arbitrary code using a crafted Brotli-compressed stream. Users need to update any Brotli libraries or binaries between 1.0.3 through 1.2.0 to the latest available version: 1.0.10 or 1.1.1 or 1.2.1.
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.