Tesseract is an open source OCR engine. Prior to 5.5.3, a crafted .traineddata model loaded through TessBaseAPI::Init can cause SquishedDawg::read_squished_dawg in src/dict/dawg.cpp to accept an unterminated forward-edge run, after which SquishedDawg::Load calls num_forward_edges(0) and last_edge in src/dict/dawg.h reads beyond edges_, causing a heap out-of-bounds read and process crash before image processing. This issue is fixed in version 5.5.3.

The remote Ubuntu 14.04 LTS / 16.04 LTS / 18.04 LTS / 20.04 LTS / 22.04 LTS / 24.04 LTS / 26.04 LTS host has packages installed that are affected by multiple vulnerabilities as referenced in the USN-8882-1 advisory.

    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)

Tenable has extracted the preceding description block directly from the Ubuntu security advisory.

Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version number.

The remote openSUSE 16 host has packages installed that are affected by multiple vulnerabilities as referenced in the openSUSE-SU-2026:21957-1 advisory.

    Changes in tesseract-ocr:

    - Update to version 5.5.3 (sync with Factory):
      * CVE-2026-73067: heap out-of-bounds read in SquishedDawg on crafted model (boo#1275623)
      * CVE-2026-88047: stack buffer overflow in Classify::ReadNormProtos on crafted traineddata (boo#1280925)
      * CVE-2026-88048: heap out-of-bounds write/read in FullyConnected::Forward via dimension mismatch     (boo#1280929)
      * CVE-2026-88049: heap out-of-bounds write in LSTM::Forward via na_/gate-matrix dimension mismatch     (boo#1280930)
      * CVE-2026-88050: out-of-bounds write in UnicharCompress via unvalidated recoder code values     (boo#1280931)
      * CVE-2026-88051: heap out-of-bounds write in GenericVector<T>::read via reserved/size_used_ mismatch         (boo#1280932)
      * CVE-2026-88052: heap out-of-bounds write in UNICHARSET::load_via_fgets via count/insert         desynchronization (boo#1280933)
      * CVE-2026-88053: heap out-of-bounds write in Classify::ReadIntTemplates via unvalidated counts in         crafted traineddata (boo#1280934)
      * CVE-2026-88054: denial of service via empty-stack dereference at model load (boo#1280935)

Tenable has extracted the preceding description block directly from the SUSE security advisory.

Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version number.

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available.

  - Tesseract is an open source OCR engine. Prior to 5.5.3, a crafted .traineddata model loaded through     TessBaseAPI::Init can cause SquishedDawg::read_squished_dawg in src/dict/dawg.cpp to accept an     unterminated forward-edge run, after which SquishedDawg::Load calls num_forward_edges(0) and last_edge in     src/dict/dawg.h reads beyond edges_, causing a heap out-of-bounds read and process crash before image     processing. This issue is fixed in version 5.5.3. (CVE-2026-73067)

Note that Nessus relies on the presence of the package as reported by the vendor.

ID	Name	Product	Family	Type	Severity
363742	Ubuntu 14.04 LTS / 16.04 LTS / 18.04 LTS / 20.04 LTS / 22.04 LTS / 24.04 LTS / 26.04 LTS : Tesseract vulnerabilities (USN-8882-1)	Nessus	Ubuntu Local Security Checks	Local	high
350763	openSUSE 16: libtesseract5 / libtesseract5-x86-64-v3 / tesseract-ocr / etc (openSUSE-SU-2026:21957-1)	Nessus	SuSE Local Security Checks	Local	high
334651	Linux Distros Unpatched Vulnerability : CVE-2026-73067	Nessus	Misc.	Local	medium

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