CVE-2024-23958
Oct. 3, 2024, 5:42 p.m.
8.8
High
Description
Autel MaxiCharger AC Elite Business C50 BLE Hardcoded Credentials Authentication Bypass Vulnerability. This vulnerability allows network-adjacent attackers to bypass authentication on affected installations of Autel MaxiCharger AC Elite Business C50 charging stations. Authentication is not required to exploit this vulnerability.
The specific flaw exists within the BLE AppAuthenRequest command handler. The handler uses hardcoded credentials as a fallback in case of an authentication request failure. An attacker can leverage this vulnerability to bypass authentication on the system.
Was ZDI-CAN-23196
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Autel |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-798
Use of Hard-coded Credentials
The product contains hard-coded credentials, such as a password or cryptographic key, which it uses for its own inbound authentication, outbound communication to external components, or encryption of internal data.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| o | autel | maxicharger_ac_elite_business_c50_firmware | 1.32.00 | / | / | / | / | / | / | / |
| h | autel | maxicharger_ac_elite_business_c50 | - | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: ADJACENT_NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: Sept. 28, 2024, 7:15 a.m.
Last Modified: Oct. 3, 2024, 5:42 p.m.
Last Modified: Oct. 3, 2024, 5:42 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cve@asrg.io
*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.