DOYO 2.3 admin.php?c=a_adminuser&a=add&run=1 cross-site request forgery

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.5$0-$5k0.00

Summaryinfo

A vulnerability has been found in DOYO 2.3 and classified as problematic. This issue affects some unknown processing of the file admin.php?c=a_adminuser&a=add&run=1. This manipulation causes cross-site request forgery. This vulnerability is handled as CVE-2019-7569. The attack can be initiated remotely. There is not any exploit available.

Detailsinfo

A vulnerability was found in DOYO 2.3. It has been declared as critical. Affected by this vulnerability is an unknown part of the file admin.php?c=a_adminuser&a=add&run=1. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. The CWE definition for the vulnerability is CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

An issue was discovered in DOYO (aka doyocms) 2.3(20140425 update). There is a CSRF vulnerability that can add a super administrator account via admin.php?c=a_adminuser&a=add&run=1.

The bug was discovered 01/17/2019. The weakness was released 02/07/2019. This vulnerability is known as CVE-2019-7569 since 02/06/2019. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.

The vulnerability was handled as a non-public zero-day exploit for at least 21 days. During that time the estimated underground price was around $0-$5k.

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

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

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.6
VulDB Meta Temp Score: 7.6

VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CVSSv2info

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

NVD Base Score: 🔍

Exploitinginfo

Class: Cross-site request forgery
CWE: CWE-352 / CWE-862 / CWE-863
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

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

01/17/2019 🔍
02/06/2019 +20 days 🔍
02/07/2019 +1 days 🔍
02/08/2019 +1 days 🔍
07/06/2023 +1609 days 🔍

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2019-7569 (🔍)
GCVE (CVE): GCVE-0-2019-7569
GCVE (VulDB): GCVE-100-130651

Entryinfo

Created: 02/08/2019 09:43
Updated: 07/06/2023 20:44
Changes: 02/08/2019 09:43 (52), 05/09/2020 09:36 (1), 07/06/2023 20:44 (3)
Complete: 🔍
Cache ID: 216::103

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

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