CVE-2026-59200

Pillow is a Python imaging library. From 5.1.0 until 12.3.0, PdfParser.PdfStream.decode in PIL/PdfParser.py calls zlib.decompress with bufsize set to the PDF stream Length field without bounding the decompressed output size, allowing a crafted FlateDecode PDF stream to exhaust memory from a small...

BIT-DISCOURSE-2026-55420 Discourse: Remote code execution via pdf uploads

Discourse is an open-source discussion platform. Prior to 2026.6.0, 2026.5.1, 2026.4.2, and 2026.1.5, under certain non-default configurations, processing of PDF uploads could be exploited to obtain RCE on the server. This issue is patched in 2026.6.0, 2026.5.1, 2026.4.2, and 2026.1.5...

PT-2026-58902

Discourse is an open-source discussion platform. Prior to 2026.6.0, 2026.5.1, 2026.4.2, and 2026.1.5, under certain non-default configurations, processing of PDF uploads could be exploited to obtain RCE on the server. This issue is patched in 2026.6.0, 2026.5.1, 2026.4.2, and 2026.1.5...

RHEL 9 : evince (RHSA-2026:39115)

The remote Redhat Enterprise Linux 9 host has packages installed that are affected by a vulnerability as referenced in the RHSA-2026:39115 advisory. The evince packages provide a simple multi-page document viewer for Portable Document Format PDF, PostScript PS, Encapsulated PostScript EPS files,...

ROS-20260714-73-0042

The vulnerability of the Poppler library for displaying PDF files is related to uncontrolled recursion. Exploiting this vulnerability could allow an attacker to cause a service failure...

ROS-20260714-73-0041

The vulnerability of the Poppler library for displaying PDF files relates to the use of memory after it is freed. Exploiting this vulnerability can allow an attacker to gain access to confidential data, compromise its integrity, and cause service interruptions...

Server-side Request Forgery (SSRF)

Overview crewai-tools is a Set of tools for the crewAI framework Affected versions of this package are vulnerable to Server-side Request Forgery SSRF via the URL fetch logic in the scraping loaders and website scraping tools, including DocsSiteLoader, DOCXLoader, PDFLoader, loadfromurl,...

CVE-2026-14906

Pages with malicious titles could potentially allow saved PDF content to overwrite PDF files or bundled content within the Firefox for iOS application sandbox. This vulnerability was fixed in Firefox for iOS 152.4...

CVE-2026-14906 Malicious webpage titles could allow overwriting of bundled PDF resources when saving webpages as PDFs in Firefox for iOS

Pages with malicious titles could potentially allow saved PDF content to overwrite PDF files or bundled content within the Firefox for iOS application sandbox. This vulnerability was fixed in Firefox for iOS 152.4...

CVE-2026-14906

Pages with malicious titles could potentially allow saved PDF content to overwrite PDF files or bundled content within the Firefox for iOS application sandbox. This vulnerability was fixed in Firefox for iOS 152.4...

CVE-2026-14906

Firefox for iOS is vulnerable to a flaw where pages with malicious titles could allow saved PDF content to overwrite PDF files or bundled content within the application sandbox. This issue was addressed in Firefox for iOS 152.4 . Specific exploitation details and exploit links are not provided in...

EUVD-2026-43521

Pages with malicious titles could potentially allow saved PDF content to overwrite PDF files or bundled content within the Firefox for iOS application sandbox. This vulnerability was fixed in Firefox for iOS 152.4...

PYSEC-2026-3018 pypdf: Possible infinite loop when processing threads/articles in writer

Impact 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. Patches This has been fixed in pypdf==6.13.1. Workarounds If users cannot upgrade yet, consider applying the changes from PR 3839...

PYSEC-2026-3025 pypdf: Manipulated XMP metadata streams can exhaust RAM

Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing large XMP metadata, possibly with lots of unnecessary elements. Patches This has been fixed in pypdf==6.12.1. Workarounds If you cannot upgrade yet, consider applying the change...

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

ImpactAn 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. PatchesThis has been fixed in pypdf==6.12.2. WorkaroundsIf you cannot upgrade yet, consider applying the...

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

ImpactAn 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. PatchesThis has been fixed in pypdf==6.12.0. WorkaroundsIf developers are unable to immediately upgrade, they should consider...

PYSEC-2026-2723 Open WebUI vulnerable to blind server side request forgery (SSRF) via the PDF generate function

Summary Blind server side request forgery SSRF via the PDF generate function. The finding resulted from a penetration test for a customer. It is suspected that the root cause of the issue lies within the core of Open WebUI, which is why it is being reported as a security issue here. Tested on Ope...

Open WebUI vulnerable to blind server side request forgery (SSRF) via the PDF generate function

SummaryBlind server side request forgery SSRF via the PDF generate function. The finding resulted from a penetration test for a customer. It is suspected that the root cause of the issue lies within the core of Open WebUI, which is why it is being reported as a security issue here. Tested on Open...

PYSEC-2026-2610 local-deep-research is Vulnerable to HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)

Summary PDFService.markdowntohtml constructs an HTML document by interpolating user-controlled values — specifically title sourced from research.title or research.query and metadata key-value pairs — directly into an f-string without any HTML escaping. An authenticated attacker can craft a resear...

local-deep-research is Vulnerable to HTML Injection via Unescaped User Input in PDF Export (`pdf_service.py:_markdown_to_html`)

SummaryPDFService.markdowntohtml constructs an HTML document by interpolating user-controlled values — specifically title sourced from research.title or research.query and metadata key-value pairs — directly into an f-string without any HTML escaping. An authenticated attacker can craft a researc...