Doctormms 1.0 myAppoinment.php userid sql injection ⚔ [Disputed]
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Doctormms 1.0. It has been classified as critical. Affected is an unknown function of the file myAppoinment.php. Performing a manipulation of the argument userid results in sql injection. This vulnerability is identified as CVE-2023-39852. There is not any exploit available. There is ongoing doubt regarding the real existence of this vulnerability.
Details
A vulnerability was found in Doctormms 1.0. It has been classified as critical. This affects an unknown code block of the file myAppoinment.php. The manipulation of the argument userid with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Doctormms v1.0 was discovered to contain a SQL injection vulnerability via the $userid parameter at myAppoinment.php. NOTE: this is disputed by a third party who claims that the userid is a session variable controlled by the server, and thus cannot be used for exploitation. The original reporter counterclaims that this originates from $_SESSION["userid"]=$_POST["userid"] at line 68 in doctors\doctorlogin.php, where userid under POST is not a session variable controlled by the server.
The weakness was released 08/16/2023. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2023-39852 since 08/07/2023. 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 real existence of this vulnerability is still doubted at the moment. By approaching the search of inurl:myAppoinment.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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.4VulDB Meta Temp Score: 8.3
VulDB Base Score: 5.5
VulDB Temp Score: 5.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CNA Base Score: 9.8
CNA 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 |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
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
08/07/2023 🔍08/16/2023 🔍
08/16/2023 🔍
08/02/2024 🔍
Sources
Advisory: github.comStatus: Not defined
Disputed: 🔍
CVE: CVE-2023-39852 (🔍)
GCVE (CVE): GCVE-0-2023-39852
GCVE (VulDB): GCVE-100-237291
Entry
Created: 08/16/2023 07:39Updated: 08/02/2024 22:07
Changes: 08/16/2023 07:39 (38), 09/10/2023 09:33 (11), 06/05/2024 16:04 (16), 08/02/2024 22:07 (13)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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