| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.6 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Qool CMS 2.0 RC2. Affected is an unknown function of the component POST Request Handler. This manipulation causes cross-site request forgery. This vulnerability appears as CVE-2013-20005. The attack may be initiated remotely. In addition, an exploit is available.
Details
A vulnerability classified as problematic was found in Qool CMS 2.0 RC2. Affected by this vulnerability is an unknown functionality of the component POST Request Handler. 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 integrity. The summary by CVE is:
Qool CMS 2.0 RC2 contains a cross-site request forgery vulnerability that allows attackers to perform administrative actions by tricking logged-in users into visiting malicious web pages. Attackers can forge POST requests to the /admin/adduser endpoint with parameters like username, password, email, and level to create root-level user accounts without user consent.
It is possible to read the advisory at exploit-db.com. This vulnerability is known as CVE-2013-20005 since 03/15/2026. The exploitation appears to be easy. 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 are unknown but a public exploit is available.
It is possible to download the exploit at exploit-db.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 CNNVD (CNNVD-202603-3052). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 4.8VulDB Meta Temp Score: 4.6
VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.3
CNA Vector (VulnCheck): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross-site request forgeryCWE: CWE-352 / CWE-862 / CWE-863
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: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
03/15/2026 Advisory disclosed03/15/2026 CVE reserved
03/15/2026 VulDB entry created
03/17/2026 VulDB entry last update
Sources
Advisory: 24627Status: Not defined
CVE: CVE-2013-20005 (🔒)
GCVE (CVE): GCVE-0-2013-20005
GCVE (VulDB): GCVE-100-351163
CNNVD: CNNVD-202603-3052 - Qool CMS 跨站脚本漏洞
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/15/2026 20:01Updated: 03/17/2026 17:33
Changes: 03/15/2026 20:01 (79), 03/17/2026 17:33 (6)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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