Nova vulnerabilitiesRanked by how likely they are to be used.

Product161 versions
The short answer

Nova is made by Openstack. We track 38 published vulnerabilities in it, across 161 versions. None of them is on the list of flaws known to be exploited today. If you run Nova, keep it on a version the vendor still supports.

See the riskiest flaws

We keep watching the known-exploited list.

Known exploited

Which Nova vulnerabilities are being exploited?

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

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

Exploit likelihood

Which Nova 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. 27%

    A vulnerability was found in openstack-nova's console proxy, noVNC.

    CVSS6.1Published2 Mar 2022
  2. 3.7%

    An issue was discovered in OpenStack Nova 15.x through 15.1.0 and 16.x through 16.1.1.

    CVSS7.5Published19 Feb 2018
  3. 3.7%

    OpenStack Compute (Nova) before 2014.2.4 (juno) and 2015.1.x before 2015.1.2 (kilo) do not properly apply security group changes, which allows remote attackers to bypass intended restriction by leveraging an instance...

    CVSS5.0Published29 Oct 2015
  4. 3.5%

    OpenStack Compute (nova) 2015.1 through 2015.1.1, 2014.2.3, and earlier does not stop the migration process when the instance is deleted, which allows remote authenticated users to cause a denial of service (disk,...

    CVSS6.8Published8 Sep 2015
  5. 3.4%

    OpenStack Compute (nova) before 2014.2.4 (juno) and 2015.1.x before 2015.1.2 (kilo) does not properly delete instances from compute nodes, which allows remote authenticated users to cause a denial of service (disk...

    CVSS6.8Published26 Oct 2015
  6. 3.1%

    The image parser in OpenStack Cinder 7.0.2 and 8.0.0 through 8.1.1; Glance before 11.0.1 and 12.0.0; and Nova before 12.0.4 and 13.0.0 does not properly limit qemu-img calls, which might allow attackers to cause a...

    CVSS7.5Published7 Oct 2016
  7. 2.8%

    OpenStack Compute (Nova) before 2014.1.4 and 2014.2.x before 2014.2.1 allows remote authenticated users to cause a denial of service (CPU consumption) via an IP filter in a list active servers API request.

    CVSS4.0Published31 Oct 2014
  8. 2.3%

    An issue was discovered in exception_wrapper.py in OpenStack Nova 13.x through 13.1.3, 14.x through 14.0.4, and 15.x through 15.0.1.

    CVSS9.8Published21 Mar 2017
  9. 2.2%

    The volume_utils._parse_volume_info function in OpenStack Compute (Nova) before 2015.1.3 (kilo) and 12.0.x before 12.0.1 (liberty) includes the connection_info dictionary in the StorageError message when using the...

    CVSS5.9Published15 Jan 2016
  10. 2.1%

    The libvirt driver in OpenStack Compute (Nova) before 2015.1.4 (kilo) and 12.0.x before 12.0.3 (liberty), when using raw storage and use_cow_images is set to false, allows remote authenticated users to read arbitrary...

    CVSS5.3Published12 Apr 2016
Precursor Intelligence

Running Nova? We'll keep checking.

Looking flaws up one at a time doesn't scale. Tell us what you run once, and we tell you which flaws matter to you, in what order, and keep watching for new ones.

  1. Tell us what you runPick your software from a list, or let us work it out from your website.
  2. We match it to every flawOver 400,000 published flaws, checked against your list.
  3. Ranked by real-world riskA 0 to 100 score, led by evidence criminals are using it.
  4. Told as soon as we knowAn alert by email, in the app or by webhook to your own tools.

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FAQ

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We track 38 published vulnerabilities listed under the name Nova, across 161 versions.

None of Nova's vulnerabilities is on the list of flaws known to be exploited today.

Create a Precursor Intelligence account and track Nova. 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.