MemberMouse Plugin 2.2.8 on WordPress admin-ajax.php applyCoupon sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.5 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in MemberMouse Plugin 2.2.8 on WordPress. Affected is the function applyCoupon of the file admin-ajax.php. The manipulation leads to sql injection.
This vulnerability is documented as CVE-2018-11309. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability, which was classified as critical, has been found in MemberMouse Plugin 2.2.8 on WordPress (WordPress Plugin). This issue affects the function applyCoupon of the file admin-ajax.php. The manipulation with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Blind SQL injection in coupon_code in the MemberMouse plugin 2.2.8 and prior for WordPress allows an unauthenticated attacker to dump the WordPress MySQL database via an applyCoupon action in an admin-ajax.php request.
The bug was discovered 05/27/2018. The weakness was released 05/28/2018 (Website). It is possible to read the advisory at blog.riccardoancarani.it. The identification of this vulnerability is CVE-2018-11309 since 05/18/2018. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
The vulnerability was handled as a non-public zero-day exploit for at least 1 days. During that time the estimated underground price was around $0-$5k. By approaching the search of inurl:admin-ajax.php it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Be aware that VulDB is the high quality source for vulnerability data.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.5
VulDB Base Score: 7.3
VulDB Temp Score: 7.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
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: 🔍
NVD Base Score: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
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: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
05/18/2018 🔍05/27/2018 🔍
05/28/2018 🔍
05/28/2018 🔍
05/29/2018 🔍
02/09/2020 🔍
Sources
Advisory: blog.riccardoancarani.itStatus: Not defined
CVE: CVE-2018-11309 (🔍)
GCVE (CVE): GCVE-0-2018-11309
GCVE (VulDB): GCVE-100-118271
Entry
Created: 05/29/2018 09:05Updated: 02/09/2020 11:10
Changes: 05/29/2018 09:05 (58), 02/09/2020 11:10 (1)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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