CVE-2025-59038
Published: 09 September 2025
Summary
CVE-2025-59038 is a high-severity Embedded Malicious Code (CWE-506) vulnerability in Sonatype (inferred from references). Its CVSS base score is 8.6 (High).
Operationally, ranked at the 29.9th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-27596
Vulnerability details
Prebid.js is a free and open source library for publishers to quickly implement header bidding. NPM users of prebid 10.9.2 may have been briefly compromised by a malware campaign. The malicious code attempts to redirect crypto transactions on the site…
more
to the attackers' wallet. Version 10.10.0 fixes the issue. As a workaround, it is also possible to downgrade to 10.9.1.
- 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.
Restricting software to licensed versions and controlling P2P prevents introduction of software containing embedded malicious code from unauthorized sources.
The control prevents users from installing software that contains embedded malicious code.
Regular inventory reviews and updates make it harder to conceal or exploit embedded malicious code by requiring all components to be documented and accounted for.
Reverting to a known state removes any malicious code embedded by an attacker.
The approval and review process for maintenance tools can prevent introduction or continued use of tools containing embedded malicious code.
Supply chain strategy requires vetting and controls during acquisition to prevent or detect insertion of malicious code by vendors or integrators.
Background screening for development or deployment roles makes intentional insertion of malicious code by insiders materially harder to accomplish.
The capability explicitly searches for embedded malicious code and backdoors as indicators of compromise.