CERTFR-2022-AVI-488

Vulnerability from certfr_avis - Published: - Updated:

De multiples vulnérabilités ont été découvertes dans les produits F-Secure. Elles permettent à un attaquant de provoquer un déni de service à distance.

Solution

Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).

  • Produits WithSecure Endpoint Protection pour Windows et Mac
  • F-Secure Linux Security (32-bit)
  • F-Secure Linux Security 64
  • F-Secure Atlant
  • F-Secure Internet Gatekeeper
  • WithSecure Cloud Protection for Salesforce
  • WithSecure Collaboration Protection

Sans le correctif de sécurité publié au travers du canal de mise à jour automatique avec la base de donnée Capricorn version 2022-05-16_12.

Impacted products
Vendor Product Description
References

Show details on source website

{
  "$ref": "https://www.cert.ssi.gouv.fr/openapi.json",
  "affected_systems": [],
  "affected_systems_content": "\u003cul\u003e \u003cli\u003eProduits WithSecure Endpoint Protection pour Windows et Mac\u003c/li\u003e \u003cli\u003eF-Secure Linux Security (32-bit)\u003c/li\u003e \u003cli\u003eF-Secure Linux Security 64\u003c/li\u003e \u003cli\u003eF-Secure Atlant\u003c/li\u003e \u003cli\u003eF-Secure Internet Gatekeeper\u003c/li\u003e \u003cli\u003eWithSecure Cloud Protection for Salesforce\u003c/li\u003e \u003cli\u003eWithSecure Collaboration Protection\u003c/li\u003e \u003c/ul\u003e \u003cp\u003eSans le correctif de s\u00e9curit\u00e9 publi\u00e9 au travers du canal de mise \u00e0 jour automatique avec la base de donn\u00e9e Capricorn version 2022-05-16_12.\u003c/p\u003e ",
  "content": "## Solution\n\nSe r\u00e9f\u00e9rer au bulletin de s\u00e9curit\u00e9 de l\u0027\u00e9diteur pour l\u0027obtention des\ncorrectifs (cf. section Documentation).\n",
  "cves": [
    {
      "name": "CVE-2022-28874",
      "url": "https://www.cve.org/CVERecord?id=CVE-2022-28874"
    }
  ],
  "links": [],
  "reference": "CERTFR-2022-AVI-488",
  "revisions": [
    {
      "description": "Version initiale",
      "revision_date": "2022-05-23T00:00:00.000000"
    }
  ],
  "risks": [
    {
      "description": "D\u00e9ni de service \u00e0 distance"
    }
  ],
  "summary": "De multiples vuln\u00e9rabilit\u00e9s ont \u00e9t\u00e9 d\u00e9couvertes dans les produits\nF-Secure. Elles permettent \u00e0 un attaquant de provoquer un d\u00e9ni de\nservice \u00e0 distance.\n",
  "title": "Multiples vuln\u00e9rabilit\u00e9s dans les produits F-Secure",
  "vendor_advisories": [
    {
      "published_at": null,
      "title": "Bulletin de s\u00e9curit\u00e9 F-Secure cve-2022-28874 du 23 mai 2022",
      "url": "https://www.withsecure.com/en/support/security-advisories/cve-2022-28874"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…