SourceCodester Electronic Medical Records System 1.0 Cookie administrator.php userid sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.63 |
Summary
A vulnerability marked as critical has been reported in SourceCodester Electronic Medical Records System 1.0. The impacted element is an unknown function of the file administrator.php of the component Cookie Handler. This manipulation of the argument userid causes sql injection. This vulnerability appears as CVE-2023-1151. The attack may be initiated remotely. In addition, an exploit is available.
Details
A vulnerability was found in SourceCodester Electronic Medical Records System 1.0 (Medical Device Software). It has been declared as critical. Affected by this vulnerability is an unknown code of the file administrator.php of the component Cookie Handler. The manipulation of the argument userid with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability.
The weakness was presented 03/02/2023. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2023-1151. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
It is possible to download the exploit at github.com. It is declared as proof-of-concept. By approaching the search of inurl:administrator.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
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.sourcecodester.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 5.7
VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
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: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
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
03/02/2023 🔍03/02/2023 🔍
03/02/2023 🔍
03/30/2023 🔍
Sources
Vendor: sourcecodester.comAdvisory: github.com
Status: Not defined
CVE: CVE-2023-1151 (🔍)
GCVE (CVE): GCVE-0-2023-1151
GCVE (VulDB): GCVE-100-222163
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/02/2023 07:28Updated: 03/30/2023 13:35
Changes: 03/02/2023 07:28 (43), 03/30/2023 13:35 (2)
Complete: 🔍
Submitter: lcg22266
Cache ID: 216::103
Submit
Accepted
- Submit #96793: Electronic Medical Records System v1.0 /clinic/administrator.php cookie parameter userid exists sql injection vulnerability (by lcg22266)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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