Vulnerability-Lookup

GHSA-JQHG-WCHM-MVWR

Vulnerability from github – Published: 2023-06-01 21:30 – Updated: 2024-04-04 04:28

Details

The Glitter Unicorn Wallpaper app for Android 7.0 thru 8.0 allows unauthorized applications to actively request permission to insert data into the database that records information about a user's personal preferences and will be loaded into memory to be read and used when the application is opened. By injecting data, the attacker can force the application to load malicious image URLs and display them in the UI. As the amount of data increases, it will eventually cause the application to trigger an OOM error and crash, resulting in a persistent denial of service attack.

Severity

7.5 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Show details on source website

JSON

To clipboard

{
  "affected": [],
  "aliases": [
    "CVE-2023-29723"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-06-01T21:15:09Z",
    "severity": "HIGH"
  },
  "details": "The Glitter Unicorn Wallpaper app for Android 7.0 thru 8.0 allows unauthorized applications to actively request permission to insert data into the database that records information about a user\u0027s personal preferences and will be loaded into memory to be read and used when the application is opened. By injecting data, the attacker can force the application to load malicious image URLs and display them in the UI. As the amount of data increases, it will eventually cause the application to trigger an OOM error and crash, resulting in a persistent denial of service attack.",
  "id": "GHSA-jqhg-wchm-mvwr",
  "modified": "2024-04-04T04:28:09Z",
  "published": "2023-06-01T21:30:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-29723"
    },
    {
      "type": "WEB",
      "url": "https://github.com/LianKee/SO-CVEs/blob/main/CVEs/CVE-2023-29723/CVE%20detail.md"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2023-29723 (GCVE-0-2023-29723)

Vulnerability from cvelistv5 – Published: 2023-06-01 00:00 – Updated: 2025-01-09 17:50

Summary

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

SSVC

Exploitation: poc Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-01-09 17:49 UTC

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/LianKee/SO-CVEs/blob/main/CVEs…

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T14:14:39.823Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/LianKee/SO-CVEs/blob/main/CVEs/CVE-2023-29723/CVE%20detail.md"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "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"
            }
          },
          {
            "other": {
              "content": {
                "id": "CVE-2023-29723",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-01-09T17:49:47.783180Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "description": "CWE-noinfo Not enough information",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-01-09T17:50:13.770Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "The Glitter Unicorn Wallpaper app for Android 7.0 thru 8.0 allows unauthorized applications to actively request permission to insert data into the database that records information about a user\u0027s personal preferences and will be loaded into memory to be read and used when the application is opened. By injecting data, the attacker can force the application to load malicious image URLs and display them in the UI. As the amount of data increases, it will eventually cause the application to trigger an OOM error and crash, resulting in a persistent denial of service attack."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2023-06-01T00:00:00.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://github.com/LianKee/SO-CVEs/blob/main/CVEs/CVE-2023-29723/CVE%20detail.md"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2023-29723",
    "datePublished": "2023-06-01T00:00:00.000Z",
    "dateReserved": "2023-04-07T00:00:00.000Z",
    "dateUpdated": "2025-01-09T17:50:13.770Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.