CVE-2024-43655
Jan. 9, 2025, 8:15 a.m.
None
No Score
Description
Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability allows OS Command Injection as root
This issue affects Iocharger firmware for AC model chargers before version 24120701.
Likelihood: Moderate – The attacker will first need to find the name of the script, and needs a (low privilege) account to gain access to the script, or convince a user with such access to execute a request to it.
Impact: Critical – The attacker has full control over the charging station as the root user, and can arbitrarily add, modify and deletefiles and services.
CVSS clarification: Any network interface serving the web ui is vulnerable (AV:N) and there are not additional security measures to circumvent (AC:L), nor does the attack require and existing preconditions (AT:N). The attack is authenticated, but the level of authentication does not matter (PR:L), nor is any user interaction required (UI:N). The attack leads to a full compromised (VC:H/VI:H/VA:H), and compromised devices can be used to pivot into networks that should potentially not be accessible (SC:L/SI:L/SA:H). Becuase this is an EV charger handing significant power, there is a potential safety impact (S:P). This attack can be automated (AU:Y).
Product(s) Impacted
Product | Versions |
---|---|
Iocharger firmware for AC model chargers |
|
Weaknesses
CWE-78
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.
Tags
Date
- Published: Jan. 9, 2025, 8:15 a.m.
- Last Modified: Jan. 9, 2025, 8:15 a.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
csirt@divd.nl
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.