Banking Party Management vulnerabilitiesRanked by how likely they are to be used.

Product1 versions
The short answer

Banking Party Management is made by Oracle. We track 16 published vulnerabilities in it, across 1 version. None of them is on the list of flaws known to be exploited today. If you run Banking Party Management, keep it on a version the vendor still supports.

See the riskiest flaws

We keep watching the known-exploited list.

Known exploited

Which Banking Party Management vulnerabilities are being exploited?

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

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

Exploit likelihood

Which Banking Party Management 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. >99%

    Apache Log4j2 versions 2.0-alpha1 through 2.16.0 (excluding 2.12.3 and 2.3.1) did not protect from uncontrolled recursion from self-referential lookups.

    CVSS5.9Published18 Dec 2021
  2. 23%

    An attacker that is able to modify Velocity templates may execute arbitrary Java code or run arbitrary system commands with the same privileges as the account running the Servlet container.

    CVSS8.8Published10 Mar 2021
  3. 13%

    When reading a specially crafted ZIP archive, Compress can be made to allocate large amounts of memory that finally leads to an out of memory error even for very small inputs.

    CVSS7.5Published13 Jul 2021
  4. 12%

    When reading a specially crafted 7Z archive, Compress can be made to allocate large amounts of memory that finally leads to an out of memory error even for very small inputs.

    CVSS7.5Published13 Jul 2021
  5. 12%

    There's a vulnerability within the Apache Xerces Java (XercesJ) XML parser when handling specially crafted XML document payloads.

    CVSS6.5Published24 Jan 2022
  6. 12%

    When reading a specially crafted 7Z archive, the construction of the list of codecs that decompress an entry can result in an infinite loop.

    CVSS7.5Published13 Jul 2021
  7. 11%

    When reading a specially crafted TAR archive, Compress can be made to allocate large amounts of memory that finally leads to an out of memory error even for very small inputs.

    CVSS7.5Published13 Jul 2021
  8. 11%

    In Apache Commons IO before 2.7, When invoking the method FileNameUtils.normalize with an improper input string, like "//../foo", or "\\..\foo", the result would be the same value, thus possibly providing access to...

    CVSS4.8Published13 Apr 2021
  9. 2.9%

    Netty is an asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients.

    CVSS6.5Published9 Dec 2021
  10. 2.3%

    It was possible to execute a ReDoS-type attack inside CKEditor 4 before 4.16 by persuading a victim to paste crafted URL-like text into the editor, and then press Enter or Space (in the Autolink plugin).

    CVSS6.5Published26 Jan 2021
Precursor Intelligence

Running Banking Party Management? 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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  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.
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FAQ

Common questions, answered plainly.

Something else? Talk to the team →

We track 16 published vulnerabilities listed under the name Banking Party Management, across 1 version.

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

Create a Precursor Intelligence account and track Banking Party Management. 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.