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CVE-2023-39327 (GCVE-0-2023-39327)

Vulnerability from cvelistv5 – Published: 2024-07-13 03:08 – Updated: 2026-03-09 19:02
VLAI
Title
Openjpeg: malicious files can cause the program to enter a large loop
Summary
A flaw was found in OpenJPEG. Maliciously constructed pictures can cause the program to enter a large loop and continuously print warning messages on the terminal.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-13 20:06 UTC
CWE
  • CWE-400 - Uncontrolled Resource Consumption
References
URL Tags
https://access.redhat.com/errata/RHSA-2026:4128 vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/security/cve/CVE-2023-39327 vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2295812 issue-trackingx_refsource_REDHAT
Impacted products
Vendor Product Version CPE status
Affected: 2.5.0 (semver)
Red Hat Red Hat AI Inference Server 3.2 Unaffected: sha256:2fd4f343235f7e896a70169fc4b856343d639c65bec77c1883cbd8210caf3a92 , < * (rpm)
    cpe:/a:redhat:ai_inference_server:3.2::el9
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Red Hat Red Hat Enterprise Linux 6     cpe:/o:redhat:enterprise_linux:6
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Red Hat Red Hat Enterprise Linux 7     cpe:/o:redhat:enterprise_linux:7
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Red Hat Red Hat Enterprise Linux 8     cpe:/o:redhat:enterprise_linux:8
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Red Hat Red Hat Enterprise Linux 9     cpe:/o:redhat:enterprise_linux:9
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Date Public
2024-07-04 00:00
Show details on NVD website

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\"https://access.redhat.com/errata/RHSA-2026:4128\", \"name\": \"RHSA-2026:4128\", \"tags\": [\"vendor-advisory\", \"x_refsource_REDHAT\"]}, {\"url\": \"https://access.redhat.com/security/cve/CVE-2023-39327\", \"tags\": [\"vdb-entry\", \"x_refsource_REDHAT\"]}, {\"url\": \"https://bugzilla.redhat.com/show_bug.cgi?id=2295812\", \"name\": \"RHBZ#2295812\", \"tags\": [\"issue-tracking\", \"x_refsource_REDHAT\"]}], \"x_generator\": {\"engine\": \"cvelib 1.8.0\"}, \"descriptions\": [{\"lang\": \"en\", \"value\": \"A flaw was found in OpenJPEG. Maliciously constructed pictures can cause the program to enter a large loop and continuously print warning messages on the terminal.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-400\", \"description\": \"Uncontrolled Resource Consumption\"}]}], \"providerMetadata\": {\"orgId\": \"53f830b8-0a3f-465b-8143-3b8a9948e749\", \"shortName\": \"redhat\", \"dateUpdated\": \"2026-03-09T19:02:13.688Z\"}, \"x_redhatCweChain\": \"CWE-400: Uncontrolled Resource Consumption\"}}",
      "cveMetadata": "{\"cveId\": \"CVE-2023-39327\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2026-03-09T19:02:13.688Z\", \"dateReserved\": \"2023-07-27T18:04:08.247Z\", \"assignerOrgId\": \"53f830b8-0a3f-465b-8143-3b8a9948e749\", \"datePublished\": \"2024-07-13T03:08:48.501Z\", \"assignerShortName\": \"redhat\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.2"
    }
  }
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Detection rules are retrieved from Rulezet.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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