Vulnerability-Lookup

FKIE_CVE-2017-14931

Vulnerability from fkie_nvd - Published: 2017-09-30 01:29 - Updated: 2026-06-17 01:07

Severity

5.5 (Medium) - CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

Summary

ExifImageFile::readDQT in ExifImageFileRead.cpp in OpenExif 2.1.4 allows remote attackers to cause a denial of service (stack-based buffer over-read and application crash) via a crafted JPEG file.

References

URL	Tags
cve@mitre.org	http://seclists.org/fulldisclosure/2017/Sep/34	Mailing List, Third Party Advisory
cve@mitre.org	https://github.com/skysider/openexif_vulnerabilities	Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	http://seclists.org/fulldisclosure/2017/Sep/34	Mailing List, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	https://github.com/skysider/openexif_vulnerabilities	Third Party Advisory

Impacted products

	Vendor	Product	Version
	openexif_project	openexif	2.1.4

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
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              "version": "n/a"
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      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:openexif_project:openexif:2.1.4:*:*:*:*:*:*:*",
              "matchCriteriaId": "2BA1405A-7E62-4378-807A-E2AF9F34FB64",
              "vulnerable": true
            }
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  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "ExifImageFile::readDQT in ExifImageFileRead.cpp in OpenExif 2.1.4 allows remote attackers to cause a denial of service (stack-based buffer over-read and application crash) via a crafted JPEG file."
    },
    {
      "lang": "es",
      "value": "ExifImageFile::readDQT en ExifImageFileRead.cpp en OpenExif 2.1.4 permite que atacantes remotos provoquen una denegaci\u00f3n de servicio (sobrelectura de b\u00fafer basada en pilas y cierre inesperado de aplicaci\u00f3n) mediante un archivo JPEG manipulado."
    }
  ],
  "id": "CVE-2017-14931",
  "lastModified": "2026-06-17T01:07:00.217",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "MEDIUM",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 4.3,
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 8.6,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": true
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2017-09-30T01:29:02.447",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Mailing List",
        "Third Party Advisory"
      ],
      "url": "http://seclists.org/fulldisclosure/2017/Sep/34"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/skysider/openexif_vulnerabilities"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Mailing List",
        "Third Party Advisory"
      ],
      "url": "http://seclists.org/fulldisclosure/2017/Sep/34"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://github.com/skysider/openexif_vulnerabilities"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-125"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}

CVE-2017-14931 (GCVE-0-2017-14931)

Vulnerability from cvelistv5 – Published: 2017-09-29 08:00 – Updated: 2024-08-05 19:42

Summary

ExifImageFile::readDQT in ExifImageFileRead.cpp in OpenExif 2.1.4 allows remote attackers to cause a denial of service (stack-based buffer over-read and application crash) via a crafted JPEG file.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://github.com/skysider/openexif_vulnerabilities	x_refsource_MISC
http://seclists.org/fulldisclosure/2017/Sep/34	x_refsource_MISC

Date Public

2017-09-29 00:00

Show details on NVD website

JSON

To clipboard

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          "url": "http://seclists.org/fulldisclosure/2017/Sep/34"
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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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.