CyberRota Analysis
AI-GeneratedThe vulnerability affects Tesseract OCR engine versions 5.5.3 and earlier, where a crafted .traineddata model can exploit the handling of zero-length network stacks, leading to a crash during model initialization. This results in a denial of service, making the application unusable until restarted. Organizations using Tesseract for OCR processing should prioritize addressing this vulnerability to maintain service availability and prevent disruptions.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
Note: these links are listed for security research and verification purposes only.
Original NVD Description
Tesseract is an open source OCR engine. In version 5.5.3 and earlier, Plumbing::DeSerialize in src/lstm/plumbing.cpp rejects excessively large network stacks but accepts a zero-length stack for NT_SERIES, NT_PARALLEL, or NT_REVERSED layers in a crafted .traineddata model. During LSTMRecognizer initialization in src/lstm/lstmrecognizer.cpp, CacheXScaleFactor(XScaleFactor()) reaches Series::CacheXScaleFactor in src/lstm/series.cpp, which dereferences stack_[0] on the empty vector and invokes a virtual method through an invalid Network pointer. This causes a deterministic crash and denial of service at model load. No fixed release is available as of this review.