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CVE-2026-88050 tesseract-ocr CVE debrief

PatchSiren debrief for CVE-2026-88050, a MEDIUM-severity vulnerability in Tesseract OCR engine versions 5.5.3 and earlier. The vulnerability occurs in RecodedCharID::DeSerialize, which accepts negative code_ values from a crafted .traineddata recoder component, leading to an out-of-bounds bit write and potential wild-address crashes or allocation failures. Defenders should assess exposure and prioritize patching, focusing on systems handling untrusted .traineddata recoder components. This vulnerability requires verification and patching to prevent potential crashes or allocation failures.

Vendor
tesseract-ocr
Product
tesseract
CVSS
MEDIUM 6.9
CISA KEV
Not listed in stored evidence
Original CVE published
2026-09-10
Original CVE updated
2026-09-14
Advisory published
2026-09-10
Advisory updated
2026-09-14

Who should care

Defenders responsible for Tesseract OCR engine deployments, particularly those handling untrusted .traineddata recoder components, should assess exposure and prioritize patching. This includes operators, platform administrators, vulnerability management teams, and security teams who need to verify Tesseract OCR engine version and configuration, and implement compensating controls for exposed systems. Security teams should review vendor guidance and conduct

Why it matters

CVE-2026-88050 is a MEDIUM-severity vulnerability in Tesseract OCR engine versions 5.5.3 and earlier, requiring verification and patching to prevent potential crashes or allocation failures.

  • Potential wild-address crashes or allocation failures require verification and patching
  • Exposure to untrusted .traineddata recoder components necessitates compensating controls
  • Verification of Tesseract OCR engine version and configuration is necessary

Technical summary

The Tesseract OCR engine vulnerability (CVE-2026-88050) occurs in RecodedCharID::DeSerialize, which accepts negative code_ values from a crafted .traineddata recoder component. This leads to an out-of-bounds bit write and potential wild-address crashes or allocation failures. The vulnerability is caused by a lack of proper validation of code_ values, allowing an attacker to exploit the vulnerability and cause a denial-of-service condition. Defenders should prioritize verifying and patching vulnerable Tesseract OCR engine deployments, focusing on systems handling untrusted .traineddata recoder components.

Defensive priority

Defenders should prioritize verifying and patching vulnerable Tesseract OCR engine deployments, focusing on systems handling untrusted .traineddata recoder components.

Recommended defensive actions

  • Verify Tesseract OCR engine version and assess exposure to untrusted .traineddata recoder components
  • Patch vulnerable Tesseract OCR engine deployments
  • Monitor for suspicious .traineddata recoder component activity
  • Implement compensating controls for systems handling untrusted .traineddata recoder components
  • Review vendor guidance and security advisories for Tesseract OCR engine
  • Conduct vulnerability scanning and risk assessment for affected systems
  • Track exceptions and retest remediated assets to ensure successful patching

Evidence notes

The vulnerability is caused by RecodedCharID::DeSerialize accepting negative code_ values from a crafted .traineddata recoder component, leading to an out-of-bounds bit write and wild-address crash or allocation failure.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-88050 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-88050

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-88050 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-88050

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.