Commons Compress vulnerabilitiesRanked by how likely they are to be used.

Product31 versions
The short answer

Commons Compress is made by Apache. We track 11 published vulnerabilities in it, across 31 versions. None of them is on the list of flaws known to be exploited today. If you run Commons Compress, keep it on a version the vendor still supports.

See the riskiest flaws

We keep watching the known-exploited list.

Known exploited

Which Commons Compress vulnerabilities are being exploited?

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

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

Exploit likelihood

Which Commons Compress 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. 16%

    The file name encoding algorithm used internally in Apache Commons Compress 1.15 to 1.18 can get into an infinite loop when faced with specially crafted inputs.

    CVSS7.5Published30 Aug 2019
  2. 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
  3. 13%

    Algorithmic complexity vulnerability in the sorting algorithms in bzip2 compressing stream (BZip2CompressorOutputStream) in Apache Commons Compress before 1.4.1 allows remote attackers to cause a denial of service...

    CVSS5.0Published29 Jun 2012
  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%

    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
  6. 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
  7. 5.3%

    When reading a specially crafted ZIP archive, the read method of Apache Commons Compress 1.7 to 1.17's ZipArchiveInputStream can fail to return the correct EOF indication after the end of the stream has been reached.

    CVSS5.5Published16 Aug 2018
  8. 3.7%

    A specially crafted ZIP archive can be used to cause an infinite loop inside of Apache Commons Compress' extra field parser used by the ZipFile and ZipArchiveInputStream classes in versions 1.11 to 1.15.

    CVSS5.5Published16 Mar 2018
  9. 0.9%

    Allocation of Resources Without Limits or Throttling vulnerability in Apache Commons Compress.This issue affects Apache Commons Compress: from 1.21 before 1.26.

    CVSS5.5Published19 Feb 2024
  10. 0.6%

    Improper Input Validation, Uncontrolled Resource Consumption vulnerability in Apache Commons Compress in TAR parsing.This issue affects Apache Commons Compress: from 1.22 before 1.24.0.

    CVSS5.5Published14 Sep 2023
Precursor Intelligence

Running Commons Compress? 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.

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We track 11 published vulnerabilities listed under the name Commons Compress, across 31 versions.

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

Create a Precursor Intelligence account and track Commons Compress. 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.