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GHSA-33R9-M4VJ-8H9P

Vulnerability from github – Published: 2024-10-13 15:30 – Updated: 2024-10-13 15:30
VLAI
Details

A vulnerability in parisneo/lollms-webui version 9.8 allows for a Denial of Service (DOS) attack when uploading an audio file. If an attacker appends a large number of characters to the end of a multipart boundary, the system will continuously process each character, rendering lollms-webui inaccessible. This issue is exacerbated by the lack of Cross-Site Request Forgery (CSRF) protection, enabling remote exploitation. The vulnerability leads to service disruption, resource exhaustion, and extended downtime.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2024-6959"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-352",
      "CWE-400"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-10-13T13:15:10Z",
    "severity": "HIGH"
  },
  "details": "A vulnerability in parisneo/lollms-webui version 9.8 allows for a Denial of Service (DOS) attack when uploading an audio file. If an attacker appends a large number of characters to the end of a multipart boundary, the system will continuously process each character, rendering lollms-webui inaccessible. This issue is exacerbated by the lack of Cross-Site Request Forgery (CSRF) protection, enabling remote exploitation. The vulnerability leads to service disruption, resource exhaustion, and extended downtime.",
  "id": "GHSA-33r9-m4vj-8h9p",
  "modified": "2024-10-13T15:30:33Z",
  "published": "2024-10-13T15:30:33Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-6959"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/6394d32e-f35c-418a-95b8-e7254ed0bc8e"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H",
      "type": "CVSS_V3"
    }
  ]
}



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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.

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.

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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.


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