CVE-2024-54134
Published: 04 December 2024
Summary
CVE-2024-54134 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability. Its CVSS base score is 8.3 (High).
Operationally, ranked in the top 43.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-3483
Vulnerability details
A publish-access account was compromised for `@solana/web3.js`, a JavaScript library that is commonly used by Solana dapps. This allowed an attacker to publish unauthorized and malicious packages that were modified, allowing them to steal private key material and drain funds…
more
from dapps, like bots, that handle private keys directly. This issue should not affect non-custodial wallets, as they generally do not expose private keys during transactions. This is not an issue with the Solana protocol itself, but with a specific JavaScript client library and only appears to affect projects that directly handle private keys and that updated within the window of 3:20pm UTC and 8:25pm UTC on Tuesday, December 3, 2024. These two unauthorized versions (1.95.6 and 1.95.7) were caught within hours and have since been unpublished. All Solana app developers should upgrade to version 1.95.8. Developers that suspect they might be compromised should rotate any suspect authority keys, including multisigs, program authorities, server keypairs, and so on.
- 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.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.