USN-8882-1: Tesseract vulnerabilities
Checked 7 Oct 2026. BlackTree preserves the last verified facts if a later source check is temporarily unavailable.
Open the official publisher sourcePUBLISHER UPDATE · USN-8882-1
USN-8882-1: Tesseract vulnerabilities
Scope: Ubuntu. This update record adds version, fix and known-issue context. Its publication date is not a lifecycle boundary.
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 attacker could possibly use this issue to execute arbitrary code. (CVE-2026-88052) It was discovered that Tesseract did not properly validate classifier counts in crafted .traineddata models. An attacker could possibly use this issue to execute arbitrary code. (CVE-2026-88053) It was discovered that Tesseract incorrectly handled empty network layers in crafted .traineddata models. An attacker could possibly use this issue to cause Tesseract to crash, resulting in a denial of service. (CVE-2026-88054)
Not stated. The verified publisher record does not contain a known-issues statement.
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Checked 7 Oct 2026. BlackTree preserves the last verified facts if a later source check is temporarily unavailable.
Open the official publisher source