Rajan Agaskar Amazon Associate Filter Plugin up to 0.4 on WordPress cross-site request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.6 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Rajan Agaskar Amazon Associate Filter Plugin up to 0.4 on WordPress. Affected by this issue is some unknown functionality. The manipulation leads to cross-site request forgery. This vulnerability is referenced as CVE-2024-51643. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability, which was classified as problematic, has been found in Rajan Agaskar Amazon Associate Filter Plugin up to 0.4 on WordPress. This issue affects an unknown code. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. Using CWE to declare the problem leads to 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. Impacted is integrity. The summary by CVE is:
Cross-Site Request Forgery (CSRF) vulnerability in Rajan Agaskar Amazon Associate Filter allows Stored XSS.This issue affects Amazon Associate Filter: from n/a through 0.4.
The weakness was published by Soprobro. It is possible to read the advisory at patchstack.com. The identification of this vulnerability is CVE-2024-51643 since 10/30/2024. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
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.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.7VulDB Meta Temp Score: 5.6
VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.1
CNA Vector (Patchstack): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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: 🔍
Status: Not defined
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
10/30/2024 🔍11/19/2024 🔍
11/19/2024 🔍
02/24/2025 🔍
Sources
Advisory: patchstack.comResearcher: Soprobro
Status: Not defined
CVE: CVE-2024-51643 (🔍)
GCVE (CVE): GCVE-0-2024-51643
GCVE (VulDB): GCVE-100-285275
Entry
Created: 11/19/2024 19:04Updated: 02/24/2025 10:40
Changes: 11/19/2024 19:04 (64), 02/24/2025 10:40 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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