CVE-2026-10758 (GCVE-0-2026-10758)

Vulnerability from cvelistv5 – Published: 2026-09-25 20:49 – Updated: 2026-09-25 20:49
VLAI
Title
Esri Lerc has a security vulnerability
Summary
Esri LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type. A Heap based Out-of-Bounds Write via Integer Overflow in LERC versions 4.1.0 and earlier may allow a remote, unauthenticated attacker who can pass specifically crafted attacker controlled imagery to an application that uses LERC to crash the application, leading to a denial of service.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • CWE-190 - Integer Overflow or Wraparound
Assigner
References
Impacted products
Vendor Product Version CPE status
Esri Lerc Affected: 0
guessed Create a notification for this product.
Date Public
2026-09-25 18:49
Show details on NVD website
To clipboard 

{
  "containers": {
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "Lerc",
          "vendor": "Esri",
          "versions": [
            {
              "status": "affected",
              "version": "0"
            }
          ]
        }
      ],
      "datePublic": "2026-09-25T18:49:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
            {
              "base64": false,
              "type": "text/html",
              "value": "Esri LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type. A Heap based Out-of-Bounds Write via Integer Overflow in LERC versions 4.1.0 and earlier may allow a remote, unauthenticated attacker who can pass specifically crafted attacker controlled imagery to an application that uses LERC to crash the application, leading to a denial of service."
            }
          ],
          "value": "Esri LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type. A Heap based Out-of-Bounds Write via Integer Overflow in LERC versions 4.1.0 and earlier may allow a remote, unauthenticated attacker who can pass specifically crafted attacker controlled imagery to an application that uses LERC to crash the application, leading to a denial of service."
        }
      ],
      "impacts": [
        {
          "capecId": "CAPEC-8",
          "descriptions": [
            {
              "lang": "en",
              "value": "CAPEC-8: Buffer Overflow in an API Cal"
            }
          ]
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
            {
              "lang": "en",
              "value": "GENERAL"
            }
          ]
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-190",
              "description": "CWE-190: Integer Overflow or Wraparound",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-09-25T20:49:43.438Z",
        "orgId": "cedc17bb-4939-4f40-a1f4-30ae8af1094e",
        "shortName": "Esri"
      },
      "references": [
        {
          "url": "https://github.com/Esri/lerc/security/advisories/GHSA-cw29-mw7w-pj37"
        }
      ],
      "source": {
        "discovery": "UNKNOWN"
      },
      "title": "Esri Lerc has a security vulnerability",
      "x_generator": {
        "engine": "Vulnogram 0.1.0-dev"
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "cedc17bb-4939-4f40-a1f4-30ae8af1094e",
    "assignerShortName": "Esri",
    "cveId": "CVE-2026-10758",
    "datePublished": "2026-09-25T20:49:43.438Z",
    "dateReserved": "2026-06-03T14:47:53.913Z",
    "dateUpdated": "2026-09-25T20:49:43.438Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
    "nvd": {
      "cve": {
        "affected": [
          {
            "affectedData": [
              {
                "defaultStatus": "unaffected",
                "product": "Lerc",
                "vendor": "Esri",
                "versions": [
                  {
                    "status": "affected",
                    "version": "0"
                  }
                ]
              }
            ],
            "source": "psirt@esri.com"
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "Esri LERC is an open-source image or raster format which supports rapid encoding and decoding for any pixel type. A Heap based Out-of-Bounds Write via Integer Overflow in LERC versions 4.1.0 and earlier may allow a remote, unauthenticated attacker who can pass specifically crafted attacker controlled imagery to an application that uses LERC to crash the application, leading to a denial of service."
          }
        ],
        "id": "CVE-2026-10758",
        "lastModified": "2026-09-25T21:17:23.117",
        "metrics": {
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "HIGH",
                "baseScore": 7.5,
                "baseSeverity": "HIGH",
                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 3.6,
              "source": "psirt@esri.com",
              "type": "Primary"
            }
          ]
        },
        "published": "2026-09-25T21:17:23.117",
        "references": [
          {
            "source": "psirt@esri.com",
            "url": "https://github.com/Esri/lerc/security/advisories/GHSA-cw29-mw7w-pj37"
          }
        ],
        "sourceIdentifier": "psirt@esri.com",
        "vulnStatus": "Received",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-190"
              }
            ],
            "source": "psirt@esri.com",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.



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.