CVE-2024-34109
Published: 13 June 2024
Summary
CVE-2024-34109 is a high-severity Improper Input Validation (CWE-20) vulnerability in Adobe Commerce. Its CVSS base score is 7.2 (High).
Operationally, ranked in the top 5.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Adobe Commerce versions 2.4.7, 2.4.6-p5, 2.4.5-p7, 2.4.4-p8 and earlier contain an Improper Input Validation vulnerability tracked as CVE-2024-34109 and CWE-20. The flaw carries a CVSS 3.1 score of 7.2 and permits arbitrary code execution in the context of the current user when triggered over the network.
An attacker with administrative privileges can exploit the issue without user interaction, achieving full control over confidentiality, integrity, and availability on the affected instance. The vulnerability resides in the core Magento/Adobe Commerce application and does not require any additional preconditions beyond admin access.
The official Adobe advisory APSB24-40, published on the same date as the CVE, directs administrators to apply the vendor-supplied patches for the listed branches and to review the associated security bulletin for configuration guidance and upgrade paths.
EPSS remains flat at 0.1396 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-34632
Vulnerability details
Adobe Commerce versions 2.4.7, 2.4.6-p5, 2.4.5-p7, 2.4.4-p8 and earlier are affected by an Improper Input Validation vulnerability that could result in arbitrary code execution in the context of the current user. Exploitation of this issue does not require user interaction,…
more
but admin privileges are required.
- 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.