Vulnerability-Lookup

GHSA-PW4C-H493-RXM2

Vulnerability from github – Published: 2023-09-27 15:30 – Updated: 2024-04-04 07:55

Details

The vulnerability is to theft of arbitrary files with system privilege in the Screen recording ("com.lge.gametools.gamerecorder") app in the "com/lge/gametools/gamerecorder/settings/ProfilePreferenceFragment.java" file. The main problem is that the app launches implicit intents that can be intercepted by third-party apps installed on the same device. They also can return arbitrary data that will be passed to the "onActivityResult()" method. The Screen recording app saves contents of arbitrary URIs to SD card which is a world-readable storage.

Severity

6.1 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2023-44124"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-668",
      "CWE-927"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2023-09-27T15:19:35Z",
    "severity": "LOW"
  },
  "details": "The vulnerability is to theft of arbitrary files with system privilege in the Screen recording (\"com.lge.gametools.gamerecorder\") app in the \"com/lge/gametools/gamerecorder/settings/ProfilePreferenceFragment.java\" file. The main problem is that the app launches implicit intents that can be intercepted by third-party apps installed on the same device. They also can return arbitrary data that will be passed to the \"onActivityResult()\" method. The Screen recording app saves contents of arbitrary URIs to SD card which is a world-readable storage.",
  "id": "GHSA-pw4c-h493-rxm2",
  "modified": "2024-04-04T07:55:18Z",
  "published": "2023-09-27T15:30:38Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2023-44124"
    },
    {
      "type": "WEB",
      "url": "https://lgsecurity.lge.com/bulletins/mobile#updateDetails"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2023-44124 (GCVE-0-2023-44124)

Vulnerability from cvelistv5 – Published: 2023-09-27 13:55 – Updated: 2024-09-20 19:49

Title

Screen recording - Theft of arbitrary files with system privilege

Summary

Severity

6.1 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-20 18:34 UTC

CWE

CWE-927 - Use of Implicit Intent for Sensitive Communication

Assigner

LGE mitre root

References

1 reference

URL	Tags
https://lgsecurity.lge.com/bulletins/mobile#updat…	vendor-advisory

Impacted products

1 product

Vendor	Product	Version
LG Electronics	LG V60 Thin Q 5G(LMV600VM)	Affected: Android 12, 13

Show details on NVD website

JSON

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        "providerMetadata": {
          "dateUpdated": "2024-08-02T19:59:51.172Z",
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                "timestamp": "2024-09-20T18:34:19.888075Z",
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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.