WP Cerber Security Plugin up to 9.0 on WordPress ~/cerber-load.php Author information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability was found in WP Cerber Security Plugin up to 9.0 on WordPress. It has been classified as problematic. Impacted is an unknown function of the file ~/cerber-load.php. The manipulation of the argument Author leads to information disclosure. This vulnerability is referenced as CVE-2022-2939. Remote exploitation of the attack is possible. No exploit is available. It is suggested to install a patch to address this issue.
Details
A vulnerability was found in WP Cerber Security Plugin up to 9.0 on WordPress (WordPress Plugin) and classified as problematic. This issue affects an unknown code block of the file ~/cerber-load.php. The manipulation of the argument author with an unknown input leads to a information disclosure vulnerability. Using CWE to declare the problem leads to CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. Impacted is confidentiality. The summary by CVE is:
The WP Cerber Security plugin for WordPress is vulnerable to security protection bypass in versions up to, and including 9.0, that makes user enumeration possible. This is due to improper validation on the value supplied through the 'author' parameter found in the ~/cerber-load.php file. In vulnerable versions, the plugin only blocks requests if the value supplied is numeric, making it possible for attackers to supply additional non-numeric characters to bypass the protection. The non-numeric characters are stripped and the user requested is displayed. This can be used by unauthenticated attackers to gather information about users that can targeted in further attacks.
The weakness was published 09/07/2022. The advisory is shared at wordfence.com. The identification of this vulnerability is CVE-2022-2939 since 08/22/2022. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1592 for this issue.
By approaching the search of inurl:~/cerber-load.php it is possible to find vulnerable targets with Google Hacking.
Applying the patch 2772930 is able to eliminate this problem.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.2
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 5.3
CNA Vector (Wordfence): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
Google Hack: 🔍
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: PatchStatus: 🔍
0-Day Time: 🔍
Patch: 2772930
Timeline
08/22/2022 🔍09/07/2022 🔍
09/07/2022 🔍
10/13/2022 🔍
Sources
Advisory: 2772930Status: Confirmed
CVE: CVE-2022-2939 (🔍)
GCVE (CVE): GCVE-0-2022-2939
GCVE (VulDB): GCVE-100-207905
Entry
Created: 09/07/2022 08:34Updated: 10/13/2022 11:27
Changes: 09/07/2022 08:34 (42), 10/13/2022 11:27 (12)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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