Zhejiang Dahua Smart Cloud Gateway Registration Management Platform /index.php/User/doLogin sql injection

CVSS Meta Temp Score
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CTI Interest Score
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6.6$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in Zhejiang Dahua Smart Cloud Gateway Registration Management Platform. Impacted is an unknown function of the file /index.php/User/doLogin. This manipulation of the argument Username causes sql injection. The identification of this vulnerability is CVE-2025-34059. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

Detailsinfo

A vulnerability was found in Zhejiang Dahua Smart Cloud Gateway Registration Management Platform (affected version unknown). It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /index.php/User/doLogin. The manipulation of the argument username with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

An SQL injection vulnerability exists in the Dahua Smart Cloud Gateway Registration Management Platform via the username parameter in the /index.php/User/doLogin endpoint. The application fails to properly sanitize user input, allowing unauthenticated attackers to inject arbitrary SQL statements and potentially disclose sensitive information. Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-05 UTC.

It is possible to read the advisory at cnvd.org.cn. This vulnerability is known as CVE-2025-34059 since 04/15/2025. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is possible to download the exploit at pentest-tools.com. It is declared as proof-of-concept.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-19638). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

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Vendor

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 6.6

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

04/15/2025 CVE reserved
07/01/2025 +77 days Advisory disclosed
07/01/2025 +0 days VulDB entry created
11/20/2025 +142 days VulDB entry last update

Sourcesinfo

Advisory: CNVD-2024-38747
Status: Not defined

CVE: CVE-2025-34059 (🔒)
GCVE (CVE): GCVE-0-2025-34059
GCVE (VulDB): GCVE-100-314539
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 07/01/2025 18:09
Updated: 11/20/2025 21:01
Changes: 07/01/2025 18:09 (70), 07/01/2025 19:35 (1), 07/03/2025 20:12 (1), 11/14/2025 01:35 (1), 11/20/2025 21:01 (2)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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