Perfmatters Plugin up to 2.1.6 on WordPress cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.8 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Perfmatters Plugin up to 2.1.6 on WordPress. This affects an unknown part. This manipulation causes cross site scripting. This vulnerability appears as CVE-2023-47876. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability has been found in Perfmatters Plugin up to 2.1.6 on WordPress (WordPress Plugin) and classified as problematic. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. The summary by CVE is:
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Perfmatters allows Reflected XSS.This issue affects Perfmatters: from n/a through 2.1.6.
The weakness was presented 11/30/2023 by Dave Jong. It is possible to read the advisory at patchstack.com. This vulnerability is known as CVE-2023-47876 since 11/13/2023. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
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
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.8VulDB Meta Temp Score: 5.8
VulDB Base Score: 4.3
VulDB Temp Score: 4.2
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CNA Base Score: 7.1
CNA Vector (Patchstack): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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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 scriptingCWE: CWE-79 / CWE-94 / CWE-74
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 |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/13/2023 🔍11/30/2023 🔍
11/30/2023 🔍
12/21/2023 🔍
Sources
Advisory: patchstack.comResearcher: Dave Jong
Status: Not defined
CVE: CVE-2023-47876 (🔍)
GCVE (CVE): GCVE-0-2023-47876
GCVE (VulDB): GCVE-100-246523
Entry
Created: 11/30/2023 18:58Updated: 12/21/2023 10:35
Changes: 11/30/2023 18:58 (49), 12/21/2023 10:35 (11)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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