themeton Acerola Plugin up to 1.6.5 on WordPress deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in themeton Acerola Plugin up to 1.6.5 on WordPress. It has been classified as critical. This affects an unknown part. This manipulation causes deserialization. This vulnerability is tracked as CVE-2025-31927. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in themeton Acerola Plugin up to 1.6.5 on WordPress. It has been declared as critical. Affected by this vulnerability is an unknown code block. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Deserialization of Untrusted Data vulnerability in themeton Acerola allows Object Injection. This issue affects Acerola: from n/a through 1.6.5.
The weakness was disclosed by Tran Nguyen Bao Khanh. It is possible to read the advisory at patchstack.com. This vulnerability is known as CVE-2025-31927 since 04/01/2025. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 05/23/2025).
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: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 9.8
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: DeserializationCWE: CWE-502 / CWE-20
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
04/01/2025 🔍05/23/2025 🔍
05/23/2025 🔍
05/23/2025 🔍
Sources
Advisory: patchstack.comResearcher: Tran Nguyen Bao Khanh
Status: Not defined
CVE: CVE-2025-31927 (🔍)
GCVE (CVE): GCVE-0-2025-31927
GCVE (VulDB): GCVE-100-310147
Entry
Created: 05/23/2025 15:37Changes: 05/23/2025 15:37 (63)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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