CVE-2024-10173
Oct. 22, 2024, 5:05 p.m.
7.5
High
Description
A vulnerability has been found in didi DDMQ 1.0 and classified as critical. Affected by this vulnerability is an unknown functionality of the component Console Module. The manipulation with the input /;login leads to improper authentication. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available. The vendor was contacted early about this disclosure but did not respond in any way.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Didiglobal |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-287
Improper Authentication
When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct.
CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.
*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 |
|---|---|---|---|---|---|---|---|---|---|---|
| a | didiglobal | ddmq | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Timeline
Published: Oct. 20, 2024, 5:15 a.m.
Last Modified: Oct. 22, 2024, 5:05 p.m.
Last Modified: Oct. 22, 2024, 5:05 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cna@vuldb.com
*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.