Policy Automation vulnerabilitiesRanked by how likely they are to be used.
Policy Automation is made by Oracle. We track 11 published vulnerabilities listed under that exact name, across 23 versions. None of them is on the list of flaws known to be exploited today. Oracle lists newer releases under their own names, such as Policy Automation Connector for Siebel, so check those pages too.
We keep watching the known-exploited list.
Is Policy Automation listed under other names? Yes.
Oracle also lists Policy Automation under more specific names, such as Policy Automation Connector for Siebel and Policy Automation for Mobile Devices. Flaws listed only under those names are counted on their own pages, not here. If you run one of these, open its page for its own exploited flaws.
Which Policy Automation vulnerabilities are being exploited?
This is the list that matters most: flaws criminals are using now.
None of Policy Automation's published vulnerabilities is on the list of flaws known to be exploited today. We keep watching that list.
Which Policy Automation 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.
- >99%CVE-2020-11022Medium
In jQuery versions greater than or equal to 1.2 and before 3.5.0, passing HTML from untrusted sources - even after sanitizing it - to one of jQuery's DOM manipulation methods (i.e.
- 98%CVE-2021-44832Medium
Apache Log4j2 versions 2.0-beta7 through 2.17.0 (excluding security fix releases 2.3.2 and 2.12.4) are vulnerable to a remote code execution (RCE) attack when a configuration uses a JDBC Appender with a JNDI LDAP...
- 90%CVE-2017-5645Critical
In Apache Log4j 2.x before 2.8.2, when using the TCP socket server or UDP socket server to receive serialized log events from another application, a specially crafted binary payload can be sent that, when...
- 87%CVE-2019-11358Medium
jQuery before 3.4.0, as used in Drupal, Backdrop CMS, and other products, mishandles jQuery.extend(true, {}, ...) because of Object.prototype pollution.
- 41%CVE-2021-41184Medium
jQuery-UI is the official jQuery user interface library.
- 39%CVE-2021-41182Medium
jQuery-UI is the official jQuery user interface library.
- 11%CVE-2019-17195Critical
Connect2id Nimbus JOSE+JWT before v7.9 can throw various uncaught exceptions while parsing a JWT, which could result in an application crash (potential information disclosure) or a potential authentication bypass.
- 8.5%CVE-2021-41183Medium
jQuery-UI is the official jQuery user interface library.
- 8.2%
Improper validation of certificate with host mismatch in Apache Log4j SMTP appender.
- 2.4%CVE-2021-2351High
Vulnerability in the Advanced Networking Option component of Oracle Database Server.
Running Policy Automation? 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.
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- Ranked by real-world riskA 0 to 100 score, led by evidence criminals are using it.
- Told as soon as we knowAn alert by email, in the app or by webhook to your own tools.
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1 new flaw affects software Acme tracks
In jQuery versions greater than or equal to 1.2 and before 3.5.0, passing HTML from untrusted sources - even after sanitizing it - to one of jQuery's DOM manipulation methods (i.e. .html(), .append(), and others) may execute untrusted code. This problem is patched in jQuery 3.5.0.
- Matched to
- Policy Automation on Acme's software list
- What to do
- Plan in the vendor’s update
Sent to the alert recipients Acme chose. Also in the app and to Acme's webhook.
We track 11 published vulnerabilities listed under the name Policy Automation, across 23 versions.
None of Policy Automation's vulnerabilities is on the list of flaws known to be exploited today.
Oracle also lists Policy Automation under more specific names, such as Policy Automation Connector for Siebel and Policy Automation for Mobile Devices. Flaws listed only under those names are counted on their own pages, not here. Open the release you run to see its own list.
Create a Precursor Intelligence account and track Policy Automation. 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.