Admin Word Count Column Plugin up to 2.2 on WordPress Phar Deserialization readfile path path traversal
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Admin Word Count Column Plugin up to 2.2 on WordPress and classified as critical. Impacted is the function readfile of the component Phar Deserialization. The manipulation of the argument path leads to path traversal.
This vulnerability is uniquely identified as CVE-2022-1390. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability was found in Admin Word Count Column Plugin up to 2.2 on WordPress (WordPress Plugin). It has been rated as critical. This issue affects the function readfile of the component Phar Deserialization. The manipulation of the argument path with an unknown input leads to a path traversal vulnerability. Using CWE to declare the problem leads to CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. Impacted is confidentiality, integrity, and availability.
The weakness was disclosed 04/25/2022 as 166476. It is possible to read the advisory at wpscan.com. The identification of this vulnerability is CVE-2022-1390 since 04/19/2022. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1006 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: 7.3VulDB Meta Temp Score: 7.1
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
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: Path traversalCWE: CWE-22
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
04/19/2022 🔍04/25/2022 🔍
04/25/2022 🔍
04/29/2022 🔍
Sources
Advisory: 166476Status: Not defined
CVE: CVE-2022-1390 (🔍)
GCVE (CVE): GCVE-0-2022-1390
GCVE (VulDB): GCVE-100-198467
Entry
Created: 04/25/2022 21:52Updated: 04/29/2022 11:51
Changes: 04/25/2022 21:52 (41), 04/29/2022 11:51 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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