CVE Catalog

CVE-2026-88048

HighCVSS 8.6
Published: Translated: NVD NIST

Summary

Tesseract 5.5.3 and earlier does not validate the deserialized scalars ni_ and no_ against weight-matrix dimensions in FullyConnected::DeSerialize. A crafted .traineddata file with an NT_SOFTMAX layer can cause a heap out-of-bounds write and read on the default LSTM engine. No fixed release is available.

Risk Assessment

This can result in heap corruption, a crash, information disclosure, or potentially controlled corruption. Systems processing untrusted Tesseract models are at risk.

Recommendation

Only load .traineddata models from trusted sources and restrict user-supplied model uploads. Track Tesseract releases and apply the fix once available.

Other vulnerabilities in Tesseract

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Original NVD description (English source)

Tesseract is an open source OCR engine. In version 5.5.3 and earlier, FullyConnected::DeSerialize in src/lstm/fullyconnected.cpp does not validate the deserialized layer scalars ni_ and no_ against the weight-matrix dimensions. During FullyConnected::Forward, MatrixDotVector in src/lstm/weightmatrix.cpp writes w.dim1() results into temp_line, which is sized from no_, and reads w.dim2() minus one inputs from curr_input, which is sized from ni_. A crafted .traineddata NT_SOFTMAX layer can therefore use inconsistent dimensions to cause a heap out-of-bounds write and read on the default LSTM engine, resulting in heap corruption, a crash, information disclosure, or potentially controlled corruption. No fixed release is available as of this review.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS