PQINA Snippy Plugin up to 1.4.1 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 was found in PQINA Snippy Plugin up to 1.4.1 on WordPress. It has been classified as problematic. Impacted is an unknown function. Performing a manipulation results in cross-site request forgery. This vulnerability is reported as CVE-2025-23803. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability classified as problematic has been found in PQINA Snippy Plugin up to 1.4.1 on WordPress. This affects an unknown code block. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. CWE is classifying the issue as 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. This is going to have an impact on integrity. The summary by CVE is:
Cross-Site Request Forgery (CSRF) vulnerability in PQINA Snippy allows Reflected XSS. This issue affects Snippy: from n/a through 1.4.1.
The weakness was disclosed by 0xd4rk5id3. It is possible to read the advisory at patchstack.com. This vulnerability is uniquely identified as CVE-2025-23803 since 01/16/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for 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
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
01/16/2025 🔍01/22/2025 🔍
01/22/2025 🔍
02/09/2025 🔍
Sources
Advisory: patchstack.comResearcher: 0xd4rk5id3
Status: Not defined
CVE: CVE-2025-23803 (🔍)
GCVE (CVE): GCVE-0-2025-23803
GCVE (VulDB): GCVE-100-293067
Entry
Created: 01/22/2025 17:38Updated: 02/09/2025 10:05
Changes: 01/22/2025 17:38 (64), 02/09/2025 10:05 (3)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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