Cloudforms 3.0 Management Engine vulnerabilitiesRanked by how likely they are to be used.

Product9 versions
The short answer

Cloudforms 3.0 Management Engine is made by Red Hat. We track 13 published vulnerabilities in it, across 9 versions. None of them is on the list of flaws known to be exploited today. If you run Cloudforms 3.0 Management Engine, keep it on a version the vendor still supports.

See the riskiest flaws

We keep watching the known-exploited list.

Known exploited

Which Cloudforms 3.0 Management Engine vulnerabilities are being exploited?

This is the list that matters most: flaws criminals are using now.

None of Cloudforms 3.0 Management Engine's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.

Exploit likelihood

Which Cloudforms 3.0 Management Engine flaws are most likely to be used?

Ranked by the latest exploit-likelihood forecast: the chance each flaw is used in an attack in the next 30 days. A high severity score on its own doesn't tell you that. Flaws shared by many other makers' products are left out.

50% or more10% to 49%Under 10%
  1. 1.8%

    The wait_for_task function in app/controllers/application_controller.rb in Red Hat CloudForms 3.0 Management Engine (CFME) before 5.2.4.2 allows remote attackers to cause a denial of service (infinite loop and CPU...

    CVSS5.0Published7 Jul 2014
  2. 1.6%

    The x_button method in the ServiceController (vmdb/app/controllers/service_controller.rb) in Red Hat CloudForms 3.0 Management Engine 5.2 allows remote attackers to execute arbitrary methods via unspecified vectors.

    CVSS7.5Published18 Mar 2014
  3. 1.6%

    lib/util/miq-password.rb in Red Hat CloudForms 3.0 Management Engine (CFME) before 5.2.4.2 uses a hard-coded salt, which makes it easier for remote attackers to guess passwords via a brute force attack.

    CVSS4.3Published7 Jul 2014
  4. 1.6%

    The (1) get and (2) log methods in the AgentController in Red Hat CloudForms 3.0 Management Engine (CFME) 5.x allow remote attackers to insert arbitrary text into log files via unspecified vectors.

    CVSS5.0Published27 Oct 2014
  5. 1.4%

    SQL injection vulnerability in the saved_report_delete action in the ReportController in Red Hat CloudForms Management Engine (CFME) before 5.2.3.2 allows remote authenticated users to execute arbitrary SQL commands...

    CVSS6.5Published14 May 2014
  6. 1.4%

    Cross-site scripting (XSS) vulnerability in application/panel_control in CloudForms 3.0 Management Engine (CFME) before 5.2.4.2 allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.

    CVSS4.3Published7 Jul 2014
  7. 1.3%

    vmdb/app/controllers/application_controller/performance.rb in Red Hat CloudForms 3.1 Management Engine (CFME) before 5.3 allows remote authenticated users to gain privileges via unspecified vectors, related to an...

    CVSS6.5Published6 Oct 2014
  8. 1.2%

    Red Hat CloudForms 3.1 Management Engine (CFME) before 5.3 allows remote authenticated users to access sensitive controllers and actions via a direct HTTP or HTTPS request.

    CVSS4.0Published6 Oct 2014
  9. 1.0%

    Red Hat CloudForms 3 Management Engine (CFME) allows remote authenticated users to cause a denial of service (resource consumption) via vectors involving calls to the .to_sym rails function and lack of garbage...

    CVSS6.5Published18 Oct 2017
  10. 1.0%

    The CatalogController in Red Hat CloudForms Management Engine (CFME) before 5.2.3.2 allows remote authenticated users to delete arbitrary catalogs via vectors involving guessing the catalog ID.

    CVSS4.0Published14 May 2014
Precursor Intelligence

Running Cloudforms 3.0 Management Engine? We'll keep checking.

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FAQ

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We track 13 published vulnerabilities listed under the name Cloudforms 3.0 Management Engine, across 9 versions.

None of Cloudforms 3.0 Management Engine's vulnerabilities is on the list of flaws known to be exploited today.

Create a Precursor Intelligence account and track Cloudforms 3.0 Management Engine. We match it against every published flaw, give each one a risk score from 0 to 100 and keep watching, so you hear about new ones as soon as we know, by email, in the app or by webhook.