https://vulnerability.circl.lu/rss/recent/all/10 Most recent entries from all 2026-10-08T00:41:45.036901+00:00 Vulnerability-Lookup info@circl.lu python-feedgen Contains only the most 10 recent entries. https://vulnerability.circl.lu/vuln/cve-2026-73066 CVE-2026-73066 — Tesseract: Heap out-of-bounds write in LSTM Convolve layer via crafted .traineddata 2026-10-08T00:41:45.047005+00:00

Affected: tesseract-ocr tesseract

Tesseract is an open source OCR engine. Prior to 5.5.3, a crafted .traineddata LSTM model component loaded through Tesseract's deserializer can cause an unchecked signed integer multiplication in Convolve::DeSerialize in src/lstm/convolve.cpp to wrap the convolution output-channel count, undersizing the forward-pass output buffer while writes use the unwrapped element count and causing a heap out-of-bounds write during OCR recognition. This issue is fixed in version 5.5.3.

 https://vulnerability.circl.lu/vuln/usn-8882-1 USN-8882-1 — tesseract vulnerabilities 2026-10-08T00:41:45.047233+00:00

Affected: Ubuntu:Pro:14.04:LTS: tesseract, Ubuntu:Pro:16.04:LTS: tesseract, Ubuntu:Pro:18.04:LTS: tesseract, Ubuntu:Pro:20.04:LTS: tesseract, Ubuntu:Pro:22.04:LTS: tesseract, Ubuntu:Pro:24.04:LTS: tesseract, Ubuntu:Pro:26.04:LTS: tesseract

It was discovered that Tesseract incorrectly handled crafted .traineddata models. An attacker could possibly use this issue to cause Tesseract to crash, resulting in a denial of service. (CVE-2026-73067)

It was discovered that Tesseract did not properly validate dimensions in crafted .traineddata models. An attacker could possibly use this issue to execute arbitrary code. (CVE-2026-73066)

It was discovered that Tesseract did not properly limit token lengths in crafted .traineddata models. An attacker could possibly use this issue to execute arbitrary code. (CVE-2026-88047)

It was discovered that Tesseract did not properly validate layer dimensions in crafted .traineddata models. An attacker could possibly use this issue to execute arbitrary code. (CVE-2026-88048)

It was discovered that Tesseract did not properly validate layer sizes in crafted .traineddata models. An attacker could possibly use this issue to execute arbitrary code. (CVE-2026-88049)

It was discovered that Tesseract incorrectly handled negative character codes in crafted .traineddata models. An attacker could possibly use this issue to cause Tesseract to crash, resulting in a denial of service. (CVE-2026-88050)

It was discovered that Tesseract did not properly validate vector sizes in crafted .traineddata models. An attacker could possibly use this issue to execute arbitrary code. (CVE-2026-88051)

It was discovered that Tesseract did not properly validate character IDs in crafted .traineddata models. An…