First published: Wed Jul 20 2022(Updated: )
AMD. A memory corruption issue was addressed with improved input validation.
Credit: Mohamed Ghannam @_simo36 Mickey Jin @patch1t Mickey Jin @patch1t Baidu SecurityYe Zhang @co0py_Cat Baidu SecurityMickey Jin @patch1t Trend MicroFerdous Saljooki @malwarezoo Jamf Softwarean anonymous researcher John Aakerblom @jaakerblom Zhipeng Huo @R3dF09 Tencent Security Xuanwu LabCsaba Fitzl @theevilbit Offensive SecurityAntonio Zekic @antoniozekic Daniel Lim Wee Soong STAR LabsJoshua Mason MandiantJoshua Jones Dohyun Lee @l33d0hyun SSD Secure Disclosure LabsKorea Univ. Ivan Fratric Google Project Zerohjy79425575 Yiğit Can YILMAZ @yilmazcanyigit ABC Research s.r.o Yinyi Wu @3ndy1 ABC Research s.r.o. Dongzhuo Zhao ADLab of Venustech Cyberpeace Tech CoZhaoHai Cyberpeace Tech CoLtd. Xinru Chi Pangu LabTingting Yin Tsinghua University Ant GroupMin Zheng Ant GroupHexhive (hexhive.epfl.ch) ChinaNCNIPC ChinaCVE-2022-32823 Pan ZhenPeng @Peterpan0927 Kai Lu Zscaler's ThreatLabzSreejith Krishnan R @skr0x1c0 Jeffrey Paul (sneak.berlin) Joshua Mason @jhu.edu) @josh Evgeny Kotkov visualsvn.com Xuxiang Yang @another1024 Tencent Security Xuanwu LabGordon Long Computest Sector 7Thijs Alkemade @xnyhps Computest Sector 7Adam Chester TrustedSecYuebin Sun @yuebinsun2020 Tencent Security Xuanwu LabBinoy Chitale Illinois at ChicagoMS student Illinois at ChicagoStony Brook University Illinois at ChicagoNick Nikiforakis Illinois at ChicagoAssociate Professor Illinois at ChicagoJason Polakis Illinois at ChicagoUniversity Illinois at ChicagoMir Masood Ali Illinois at ChicagoPhD student Illinois at ChicagoChris Kanich Illinois at Chicago Illinois at ChicagoMohammad Ghasemisharif Illinois at ChicagoPhD Candidate Illinois at ChicagoP1umer @p1umer Q1IQ @q1iqF Matthias Keller (m-keller.com) afang @afang5472 xmzyshypnc @xmzyshypnc1 Manfred Paul @_manfp Trend Micro Zero Day InitiativeJan Vojtesek Avast Threat Intelligence teamWang Yu CyberservalJeremy Legendre MacEnhanceTommy Muir @Muirey03 Natalie Silvanovich Google Project ZeroWojciech Reguła @_r3ggi SecuRing product-security@apple.com
Affected Software | Affected Version | How to fix |
---|---|---|
Apple macOS Monterey | <12.5 | 12.5 |
Apple iOS, iPadOS, and watchOS | <15.6 | |
iOS | <15.6 | |
Apple iOS and macOS | >=12.0<12.5 | |
Apple iOS, iPadOS, and watchOS | <8.7 | |
Apple iOS, iPadOS, and watchOS | <15.6 | 15.6 |
Apple iOS, iPadOS, and watchOS | <15.6 | 15.6 |
Apple iOS, iPadOS, and watchOS | <8.7 | 8.7 |
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(Found alongside the following vulnerabilities)
CVE-2022-32845 is a vulnerability in Apple Neural Engine that allows for an out-of-bounds read.
CVE-2022-32845 affects Apple devices running macOS Monterey, iOS, iPadOS, and watchOS.
The severity of CVE-2022-32845 is not specified in the provided information.
To fix CVE-2022-32845, it is recommended to update your Apple device to the latest version of macOS Monterey, iOS, iPadOS, or watchOS, as specified in the affected software section.
You can find more information about CVE-2022-32845 on the Apple Support website using the provided references.