pypdf: Possible large memory usage for exceptions in strict mode

pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory when strict mode loads a crafted invalid PDF dictionary. Nested parsing failures add repeated exception text to newly raised errors, allowing a small malformed dictionary to amplify into very large error messages. This issue is fixed in version 6.21.3.

pypdf: Possible large memory usage for large offsets for layout mode text

pypdf is a free and open-source pure-python PDF library. Prior to 6.12.0, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires extracting text in layout mode with large character offsets. This vulnerability is fixed in 6.12.0.

pypdf: Possible long runtimes for zero-only width values in cross-reference streams

pypdf is a free and open-source pure-python PDF library. Prior to 6.12.0, an attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires cross-reference streams with /W [0 0 0] values and large /Size values. This vulnerability is fixed in 6.12.0.

pypdf: Possible infinite loop for not terminated inline images (ASCII85 and ASCIIHex filter)

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.2, an attacker can craft a PDF with a page content stream containing a not terminated inline image that uses the ASCII85 or ASCIIHex filters, causing an infinite loop during parsing such as when extracting page text. This issue is fixed in version 6.14.2.

pypdf: Possible infinite loop for not terminated inline images

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.1, an attacker can craft a PDF with a page content stream containing a not terminated inline image, causing an infinite loop during inline image end marker detection such as when extracting page text. This issue is fixed in version 6.14.1.

pypdf: Possible large memory usage for wrong image dimensions

pypdf is a free and open-source pure-python PDF library. Prior to 6.14.0, an attacker can craft a PDF with declared image size values that are much too large compared to the actual data, causing large memory usage in pypdf image parsing. This issue is fixed in version 6.14.0.

pypdf: Possible large memory usage for form XObjects during text extraction

pypdf is a free and open-source pure-python PDF library. Prior to 6.12.2, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires extracting the text of a page which contains a form XObject with self-references. This vulnerability is fixed in 6.12.2.

Quadratic runtime with malformed PDF missing xref marker in pypdf

pypdf is a pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files. An attacker who uses this vulnerability can craft a PDF which leads to unexpected long runtime. This quadratic runtime blocks the current process and can utilize a single core of the CPU by 100%. It does not affect memory usage. This issue has been addressed in PR 808 and versions from 1.27.9 include this fix. Users are advised to upgrade. There are no known workarounds for this vulnerability.

pypdf: Possible infinite loop when retrieving fonts for layout-mode text extraction

pypdf is a free and open-source pure-python PDF library. Prior to 6.13.0, an attacker who uses this vulnerability can craft a PDF which leads to an infinite loop. This requires extracting the text in layout mode. This vulnerability is fixed in 6.13.0.

pypdf: Possible infinite loop when processing threads/articles in writer

pypdf is a free and open-source pure-python PDF library. Prior to 6.13.1, an attacker who uses this vulnerability can craft a PDF which leads to an infinite loop. This requires merging a file with threads/articles into a writer. This vulnerability is fixed in 6.13.1.

pypdf: Inefficient decoding of FlateDecode PNG predictor streams

pypdf is a free and open-source pure-python PDF library. Prior to 6.12.2, an attacker who uses this vulnerability can craft a PDF which leads to long runtimes. This requires accessing a stream which uses the /FlateDecode filter with a PNG predictor. This vulnerability is fixed in 6.12.2.

Corosync: corosync: heap-based buffer overflow in totempg assembly buffer during fragmented message reassembly

A heap-based buffer overflow was found in Corosync's Totem Process Group (totempg) message reassembly. When processing fragmented multicast messages, the buffer used to reassemble fragments lacks a runtime bounds check in release builds. A network-adjacent attacker able to send crafted multicast protocol messages to the cluster could cause a heap buffer overflow with attacker-controlled data. This can crash the Corosync daemon, causing a denial of service to the entire cluster, and may potentially allow further exploitation given sufficient heap-corruption control.

A buffer overflow issue was addressed with improved memory handling. This issue is fixed in iOS 26.7.2 and iPadOS 26.7.2, iOS 27.2 and iPadOS 27.2, macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2, tvOS 27.2, visionOS 27.2, watchOS 27.2. An app may be able to cause unexpected system termination or corrupt process memory.

A race condition was addressed with additional validation. This issue is fixed in iOS 26.7.2 and iPadOS 26.7.2, iOS 27.2 and iPadOS 27.2, macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2, visionOS 27.2. An app may be able to access sensitive user data.

Unauthorized Access to Sensitive User Data via Permissions Issue in Apple OS

A permissions issue was addressed with additional restrictions. This issue is fixed in iOS 26.7.2 and iPadOS 26.7.2, iOS 27.2 and iPadOS 27.2, tvOS 27.2, visionOS 27.2, watchOS 27.2. An app may be able to access sensitive user data.

An authorization issue was addressed with improved state management. This issue is fixed in iOS 26.7.2 and iPadOS 26.7.2, iOS 27.2 and iPadOS 27.2. An app may be able to access sensitive user data.

Memory Corruption Exploitable via Malicious File Parsing on Apple Platforms

A memory corruption issue was addressed with improved memory handling. This issue is fixed in iOS 26.7 and iPadOS 26.7, iOS 27.2 and iPadOS 27.2, macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2. Parsing a file may lead to an unexpected app termination or arbitrary code execution.

Unauthenticated Sensitive Information Disclosure leads to Remote Code Execution in AOS-10

Sensitive information disclosure vulnerabilities in the affected interface of AOS-10 could allow an unauthenticated remote attacker to obtain sensitive information from the affected system. Successful exploitation could allow an attacker to execute arbitrary commands on the underlying operating system.

Type Confusion Vulnerability in iOS/iPadOS Enables Access to Sensitive User Data

A type confusion issue was addressed with improved checks. This issue is fixed in iOS 27.2 and iPadOS 27.2. An app may be able to access sensitive user data.

Authorization Flaw Allows Sensitive Data Access Across Apple Operating Systems

An authorization issue was addressed with improved state management. This issue is fixed in iOS 26.7.2 and iPadOS 26.7.2, iOS 27.2 and iPadOS 27.2, macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2, visionOS 27.2, watchOS 27.2. An app may be able to access sensitive user data.