GHSA-V5XW-43VP-R66X

Vulnerability from github – Published: 2022-05-24 17:23 – Updated: 2022-05-24 17:23
VLAI
Details

"HCL Verse for Android was found to employ dynamic code loading. This mechanism allows a developer to specify which components of the application should not be loaded by default when the application is started. Typically, core components and additional dependencies are loaded natively at runtime; however, dynamically loaded components are only loaded as they are specifically requested. While this can have a positive impact on performance, or grant additional functionality (for example, a non-invasive update feature), it can also open the application to loading unintended code if not implemented properly."

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2020-4100"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2020-07-15T13:15:00Z",
    "severity": "LOW"
  },
  "details": "\"HCL Verse for Android was found to employ dynamic code loading. This mechanism allows a developer to specify which components of the application should not be loaded by default when the application is started. Typically, core components and additional dependencies are loaded natively at runtime; however, dynamically loaded components are only loaded as they are specifically requested. While this can have a positive impact on performance, or grant additional functionality (for example, a non-invasive update feature), it can also open the application to loading unintended code if not implemented properly.\"",
  "id": "GHSA-v5xw-43vp-r66x",
  "modified": "2022-05-24T17:23:41Z",
  "published": "2022-05-24T17:23:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-4100"
    },
    {
      "type": "WEB",
      "url": "https://support.hcltechsw.com/csm?id=kb_article\u0026sysparm_article=KB0080800"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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.

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