CyberRota Analysis
AI-GeneratedThe pypdf library prior to version 6.18.1 is vulnerable to a memory consumption issue caused by crafted PDFs that can exploit oversized tokens in font /ToUnicode mappings, leading to excessive memory usage during text extraction operations. This vulnerability poses a high risk as it can result in denial-of-service conditions. Organizations utilizing pypdf for PDF processing should prioritize upgrading to version 6.18.1 to mitigate this risk.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
pypdf is a free and open-source pure-python PDF library. Prior to 6.18.1, a crafted PDF can place unusually large source-code or destination-string tokens in a font /ToUnicode mapping, causing pypdf/_cmap.py parse_bfchar to decode and retain oversized values during operations such as text extraction and consume excessive memory. This is a second follow-up to earlier /ToUnicode resource-consumption fixes and is limited to the remaining token-length path. This issue is fixed in version 6.18.1.
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