Medium

Exiv2 allows Use After Free

  • Disclosed: 21.02.2025
  • Updated: 11.10.2026 13:18

Impact

A heap buffer overflow was found in Exiv2 versions v0.28.0 to v0.28.4. Versions prior to v0.28.0, such as v0.27.7, are not affected. Exiv2 is a command-line utility and C++ library for reading, writing, deleting, and modifying the metadata of image files. The heap overflow is triggered when Exiv2 is used to write metadata into a crafted image file. An attacker could potentially exploit the vulnerability to gain code execution, if they can trick the victim into running Exiv2 on a crafted image file.

Note that this bug is only triggered when writing the metadata, which is a less frequently used Exiv2 operation than reading the metadata. For example, to trigger the bug in the Exiv2 command-line application, you need to add an extra command-line argument such as fixiso.

Patches

The bug is fixed in version v0.28.5.

References

Issue: https://github.com/Exiv2/exiv2/issues/3168 Fix: https://github.com/Exiv2/exiv2/pull/3174

For more information

Please see our security policy for information about Exiv2 security.

Affected software

Click a technology to see all vulnerabilities affecting it.

PlatformPackageVulnerable versionsFixed in
Python (PyPI) exiv2 >= 0.28.0, < 0.28.5 0.28.5

References

CVSS score -
CVSS vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N
Weakness (CWE)
CWE-416
Platform
Python (PyPI)
Package
exiv2
Disclosed
21.02.2025
Updated
11.10.2026 13:18

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2026-1353 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-38h4-fx85-qcx7 - CC BY 4.0

Vulnerability history: exiv2

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

All (15) in the archive
Total entries
15
First → latest
05.2017 08.2025
Without a fix
12
Exploited in attacks
0

Severity breakdown

  • High 3
  • Medium 10
  • Low 2

Disclosures per year

  1. 2017: 1
  2. 2018: 4
  3. 2019: 1
  4. 2020: 0
  5. 2021: 2
  6. 2022: 0
  7. 2023: 2
  8. 2024: 2
  9. 2025: 3
  10. 2026: 0

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