CVE-2022-24828
Published: 13 April 2022
Summary
CVE-2022-24828 is a high-severity Improper Input Validation (CWE-20) vulnerability in Getcomposer Composer. Its CVSS base score is 8.3 (High).
Operationally, ranked at the 37.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-1866
Vulnerability details
Composer is a dependency manager for the PHP programming language. Integrators using Composer code to call `VcsDriver::getFileContent` can have a code injection vulnerability if the user can control the `$file` or `$identifier` argument. This leads to a vulnerability on packagist.org…
more
for example where the composer.json's `readme` field can be used as a vector for injecting parameters into hg/Mercurial via the `$file` argument, or git via the `$identifier` argument if you allow arbitrary data there (Packagist does not, but maybe other integrators do). Composer itself should not be affected by the vulnerability as it does not call `getFileContent` with arbitrary data into `$file`/`$identifier`. To the best of our knowledge this was not abused, and the vulnerability has been patched on packagist.org and Private Packagist within a day of the vulnerability report.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.